RESEARCH CASES

Find cases by research domain or method

Browse cases in drug screening, molecular interactions, protein complexes, omics, quantum chemistry, self-assembly and materials systems. Refine the list by method, system or keyword.

Showing 54 of 54 cases

Virtual-screening overviewReport-backed
HS-CASE-0001 · Report-backed case · Drug screening

From Large Chemical Space to Candidates for Experimental Review

A staged funnel combines model ranking, structural review, scaffold diversity, developability risk and dynamic evidence to narrow a broad chemical space. The graphical abstract brings together candidate distributions, structural review and property comparisons across the screening funnel. The results establish a clear candidate hierarchy for experimental selection and subsequent lead optimisation. The result-focused presentation supports efficient review of the main evidence and research priorities.

Virtual ScreeningActive LearningDocking
Read the full case
Scientific chart in the report 1Report-backed
HS-CASE-0002 · Report-backed case · Molecular interactions

From Complex Modeling to Dynamic Stability Review

A reviewable complex hypothesis is tested through trajectory diagnostics, key contacts and local contribution patterns. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities.

Complex ModelingDockingMD
Read the full case
Scientific research in the report 2Report-backed
HS-CASE-0003 · Report-backed case · Protein complexes

Multi-Condition Dynamics of Nucleic Acid–Protein Complexes

Matched preparation, sampling and analysis compare stability, interface contacts and approximate energetic trends across conditions. The graphical abstract integrates interface poses, dynamic changes and local contributions across the complex states. The results establish clear priorities for representative models and key interface regions. The result-focused presentation supports efficient review of the main evidence and research priorities.

Multi System MDTrajectory DiagnosticsInteraction Analysis
Read the full case
Figure 1  Structural diagram of the Target Bcomplex system, with green for Target D and purple for Target CReport-backed
HS-CASE-0004 · Report-backed case · Protein complexes

Stability and Binding Trends of Protein Complexes Before and After Modification

Matched models compare how an modification may alter local contacts, collective motion and approximate binding trends. The graphical abstract integrates interface poses, dynamic changes and local contributions across the complex states. The results establish clear priorities for representative models and key interface regions. The result-focused presentation supports efficient review of the main evidence and research priorities.

Ptm ModelingMDMM/GBSA
Read the full case
Scientific chart in the report 3Report-backed
HS-CASE-0005 · Report-backed case · Protein and peptide engineering

Generative Peptide Design and Multi-Parameter Candidate Prioritization

Sequence generation is connected to structural feasibility, interface review and developability risk to create a testable peptide shortlist. The graphical abstract brings together the principal sequence, structure and property results across candidates. The combined evidence establishes actionable priorities for sequences, sites or peptide candidates. The result-focused presentation supports efficient review of the main evidence and research priorities.

Generative DesignPeptide DesignStructure Prediction
Read the full case
Scientific chart in the report 1Report-backed
HS-CASE-0006 · Report-backed case · Protein and peptide engineering

Virtual Saturation Mutagenesis to Map Critical Functional Regions

Local mutation scans and structural review identify region-level hypotheses rather than claiming successful single substitutions. The graphical abstract brings together the principal sequence, structure and property results across candidates. The combined evidence establishes actionable priorities for sequences, sites or peptide candidates. The result-focused presentation supports efficient review of the main evidence and research priorities. It also supports focused comparison across the disclosed computational results.

Virtual Saturation MutagenesisStructure ModelingInteraction Analysis
Read the full case
Scientific chart in the report 1Report-backed
HS-CASE-0007 · Report-backed case · Protein complexes

High-Throughput Protein Interaction Screening and Condition Comparison

A matched batch workflow compares docking clusters, interface geometry and ranking consistency across protein pairs. The graphical abstract integrates interface poses, dynamic changes and local contributions across the complex states. The results establish clear priorities for representative models and key interface regions. The result-focused presentation supports efficient review of the main evidence and research priorities.

Protein Protein DockingBatch ScreeningCluster Analysis
Read the full case
a, the median log2 of the male and female procedural genes at each female stage, and 1+ control effects FC), and the comparison of the neutral genes matched by expression rate and network amplitude. b, the middle effects between the seeds of the core sex genes. The error range represents the quadratic spacing of the three random seeds.Report-backed
HS-CASE-0008 · Report-backed case · Omics and AI

Single-Cell Network In Silico Knockout and State Perturbation Analysis

Single-cell state models and network perturbations prioritise intervention hypotheses with explicit robustness checks. The graphical abstract integrates data distributions, model responses and feature comparisons across analytical layers. The results establish clear priorities for features, perturbations or biomarker candidates. The result-focused presentation supports efficient review of the main evidence and research priorities. It also supports focused comparison across the disclosed computational results.

Single CellNetwork ModelingVirtual Perturbation
Read the full case
Figure 2 STRING Database derived PPI networks. The nodes represent candidate proteins, the color of the connections corresponding to different sources of evidence; the central region connections are dense, and there is a wide crossover between cell proliferation, death, inflammation and growth factor signaling modules.Report-backed
HS-CASE-0009 · Report-backed case · Network pharmacology and toxicology

Integrating Network Pharmacology, Machine Learning, and Structural Simulation Evidence

Target, pathway, model and structural signals are integrated into a traceable mechanism hypothesis with explicit evidence grades. The graphical abstract connects network, functional and structural results across the evidence layers. The cross-layer results establish focused priorities for targets, pathways and mechanistic investigation. The result-focused presentation supports efficient review of the main evidence and research priorities.

Network PharmacologyMachine LearningEnrichment
Read the full case
Scientific chart in the report 9Report-backed
HS-CASE-0010 · Report-backed case · Network pharmacology and toxicology

From Risk Targets to Structural and Dynamic Review

Network toxicology, structural review and dynamics are combined to rank risks while preserving the distinction between signals and toxicological evidence. The graphical abstract connects network, functional and structural results across the evidence layers. The cross-layer results establish focused priorities for targets, pathways and mechanistic investigation. The result-focused presentation supports efficient review of the main evidence and research priorities.

Computational ToxicologyNetwork AnalysisDocking
Read the full case
Figure 2. Analysis of the structure and interactions of compounds B and A in the 100 ns molecular dynamics (MD) simulation. (A) the system's overall RMSD changes over time; (B) the rotational radius of the system changes over Time; (C) the radial direction of the representative atomic pair distribution function g (r); (D) the number of hydrogen bonds (HBonds) π-π functions in the system change over time. (E) the short-range van der Waals, SR) and the Coulomb, SR (static) interactions change with time.Report-backed
HS-CASE-0011 · Report-backed case · Self-assembly

Dynamic Evolution of Two-Component Small-Molecule Self-Assembly

A finite trajectory from one two-component system follows aggregation from the sampled initial configuration. The graphical abstract links aggregation snapshots, structural metrics and conformational distributions across the assembly process. The combined results clarify aggregation paths, key contacts and representative states. The result-focused presentation supports efficient review of the main evidence and research priorities. It also supports focused comparison across the disclosed computational results.

Self Assembly MDCluster AnalysisRDF
Read the full case
Scientific chart in the report 1Report-backed
HS-CASE-0012 · Report-backed case · Self-assembly

Host–Guest Recognition and Dynamic Stability Review

Matched host–guest models are compared through trajectory diagnostics, contact persistence and conformational-state review. The graphical abstract links aggregation snapshots, structural metrics and conformational distributions across the assembly process. The combined results clarify aggregation paths, key contacts and representative states. The result-focused presentation supports efficient review of the main evidence and research priorities. It also supports focused comparison across the disclosed computational results.

Host Guest ModelingMDTrajectory Diagnostics
Read the full case
Scientific chart in the report 3Report-backed
HS-CASE-0013 · Report-backed case · Drug screening

Proteome-Wide Reverse Target Screening with Structural Cross-Validation

An small molecule is used for pocket-representation retrieval, followed by structure preparation, batch docking, distribution review and functional enrichment. The graphical abstract brings together candidate distributions, structural review and property comparisons across the screening funnel. The results establish a clear candidate hierarchy for experimental selection and subsequent lead optimisation. The result-focused presentation supports efficient review of the main evidence and research priorities.

Proteome Reverse ScreeningDrugclipDocking
Read the full case
Scientific chart in the report 1Report-backed
HS-CASE-0014 · Report-backed case · Drug screening

Ultra-Scale Active-Learning Virtual Screening

A structure-diverse seed set produces screening labels; active learning selects informative candidates for docking, dynamics, approximate-energy and property-risk review. The graphical abstract brings together candidate distributions, structural review and property comparisons across the screening funnel. The results establish a clear candidate hierarchy for experimental selection and subsequent lead optimisation. The result-focused presentation supports efficient review of the main evidence and research priorities.

Active LearningVirtual ScreeningDocking
Read the full case
Figure 1. Molecular docking and molecular dynamics (MD) simulation analysis of protein-rich complexes. (A) The total binding conformation of the small molecule in the protein binding pocket, with a local enlargement diagram on the right of the binding point, showing the patterns of interactions between the critical residue and ligand, the green void representing the action of hydrogen bonds, the gray void represents the action to drain the hydrogen bond, and the orange void the pi-pi action; (B) the two-dimensional interaction between the ligand and the critical amino acid residue; (C) the protein、ligand and complex simulation in 100 ns molecular dynamics (MD) Changes in RMSD during tion; (D) RMSF distribution of protein main chain residues; (E) complex changes in radius of gyration during simulation; (Rg) changes in the surface area of solvent F) complex change over time; (G) changes of the distance between ligand mass and protein mass; (H) changes to the purpose of hydrogen bonds between protein ligand during simulated process; (I) analysis of the energy contribution of the critical amino acid residues to approximate binding free energy; (J) a two-dimensional projection map of the free-energy landscape (FEL) built on the basis of RMSD and Rg; (K) a static electricity distribution map of protein surfaces; (M) a complexconformation superimposition map of molecular dynamics (MD) simulation at 0 ns、50 ns and 100 ns.Report-backed
HS-CASE-0015 · Report-backed case · Membrane systems

Membrane-Protein/Lipid-Bilayer Dynamics and Binding-Stability Review

An membrane-protein–ligand system is rebuilt in a mixed lipid bilayer and reviewed through trajectory diagnostics, interface contacts and relative energetic trends. The graphical abstract combines conformations, trajectories and interface contacts in the membrane environment. The results provide clear leads for comparing membrane-system states and guiding structural follow-up. The result-focused presentation supports efficient review of the main evidence and research priorities.

DockingMembrane MDMD
Read the full case
Scientific chart in the report 1Report-backed
HS-CASE-0016 · Report-backed case · Protein complexes

Multi-Complex Condition Comparison with Unified Structural, Dynamic, and Energy Review

Multiple complexes are compared under matched preparation, sampling and analysis to separate robust trends from system-specific differences. The graphical abstract integrates interface poses, dynamic changes and local contributions across the complex states. The results establish clear priorities for representative models and key interface regions. The result-focused presentation supports efficient review of the main evidence and research priorities.

DockingMulti System MDMM/GBSA
Read the full case
Figure 1: The combination of Compound A and Target A during dynamic simulation can change over time.Report-backed
HS-CASE-0017 · Report-backed case · Protein complexes

Competitive Binding and Free-Energy Landscape Review

Matched complexes with and without a competitor are compared using dynamics, interface contacts, approximate energies and free-energy landscapes. The graphical abstract integrates interface poses, dynamic changes and local contributions across the complex states. The results establish clear priorities for representative models and key interface regions. The result-focused presentation supports efficient review of the main evidence and research priorities.

Protein Protein DockingCompetitive BindingMD
Read the full case
Scientific chart in the report 1Report-backed
HS-CASE-0018 · Report-backed case · Materials and complex mixtures

Aggregation and Interfacial Partitioning Trends in a Multicomponent Mixture

An multicomponent mixture is simulated in explicit water, with clustering, compactness, solvent exposure and interface analyses used to review finite-system aggregation and partitioning trends. The graphical abstract integrates cluster evolution, interface structure and component distributions in the complex system. The results provide a direct basis for formulation comparison, structural control and subsequent materials research. The result-focused presentation supports efficient review of the main evidence and research priorities.

Mixture MDPhase BehaviorCluster Analysis
Read the full case
Figure 1. Compound H (Compound A, green) ∙ Compounds I (EB, orange) and Compounder C (Composed B, red)  Conformation distribution of three-membered mixing systems in aqueous solution at different time points in the molecular dynamics (MD) simulation process, showing the overall configuration of the 0 ns,10 ns、 30 ns、 50 ns、 80 ns and 100 ns time systems respectively  For clarity of view the hidden water molecules and ions. Below is a local enlarged graph of the 100 ns moment of configuration, in which the yellow void represents the action of hydrogen bonds and the blue void representing the pi-π stacking action.Report-backed
HS-CASE-0019 · Report-backed case · Self-assembly

Model-Based Evidence Review of Ternary Self-Assembly with MD, MM/GBSA and PCA

Explicit-solvent dynamics, clustering, RDF, contacts, SASA, PCA/FEL and conditional MM/GBSA are combined to review ternary co-assembly and conformational modes. The graphical abstract links aggregation snapshots, structural metrics and conformational distributions across the assembly process. The combined results clarify aggregation paths, key contacts and representative states. The result-focused presentation supports efficient review of the main evidence and research priorities.

Self Assembly MDMM/GBSAPca
Read the full case
The results of the IGM analysis of the compound I + compound G+ compound H triangles in the 100 ns snapshot. (a) Tripolymer conformation, Compound A for green, Compaund B for orange, Compuund C for red, oxygen for red and zinc for blue, and mercury for white, black vacuum lines for the nearest heavy atomic contact of the three pairs and their distance; (b) Equivalent values for the intermolecular interactions described by δg^inter, given by 0.005 a.u., according to λ2)ρ color, blue for attractive force-determination, green-dispersed van der Waals interactions, red for blockage, scope ±0.05 a.U., skeleton represented by gray bars; and (c) the same value. The angle of rotation of the face around the longitudinal axis is 90°. Level of computation: Promoter molecular density IGM ((non-quantum chemistry computation), Multiwfn 3.8, characteristic number 117 × 121 × 124 ⋅ G with a Bohr distance of 0.2891.Report-backed
HS-CASE-0020 · Report-backed case · Self-assembly

IGM Analysis of Weak Interactions in a Ternary Aggregate

A representative local trimer from an assembly trajectory is reviewed using promolecular-density IGM, δg and contact geometry to help suggest possible directional hydrogen-bond-like or dispersion-dominated contact regions. The graphical abstract links aggregation snapshots, structural metrics and conformational distributions across the assembly process. The combined results clarify aggregation paths, key contacts and representative states. The result-focused presentation supports efficient review of the main evidence and research priorities.

IgmWeak Interaction AnalysisContact Geometry
Read the full case
Chart 1 Three molecules have a molecular surface static electricity at pH 7. ESP is mapped at electron density ρ = 0.001 a.u., where red is negative, blue is positive, and white is near zero. (a) Compound A (net charge -1); (b) Compaund C (neutral); (c) Compuund B (net voltage +1). Because of the difference in net charge of the three, each panel uses its own color range. Calculation level: B3LYP-D3 ((BJ)/6-311+G(d,p)/SMD(water) single pointReport-backed
HS-CASE-0021 · Report-backed case · Quantum chemistry

Electronic-Structure Analysis with ESP and HOMO–LUMO Descriptors

Electrostatic potential, frontier-orbital localisation and relative gaps are compared under explicit charge, protonation, conformation and solvent assumptions. The graphical abstract combines electronic structure, electrostatic distribution and energetic features of the candidate system. The results provide clear leads for reactivity comparison, interaction interpretation and molecular optimisation. The result-focused presentation supports efficient review of the main evidence and research priorities.

Quantum ChemistrySingle Point DftEsp
Read the full case
Scientific chart in the report 1Report-backed
HS-CASE-0022 · Report-backed case · Drug screening

Joint Review of Small-Molecule Docking and Molecular Dynamics

A reviewable docking pose is connected to standardized preparation, trajectory diagnostics, key contacts and approximate energies for cross-review. The graphical abstract brings together candidate distributions, structural review and property comparisons across the screening funnel. The results establish a clear candidate hierarchy for experimental selection and subsequent lead optimisation. The result-focused presentation supports efficient review of the main evidence and research priorities.

DockingMDMM/GBSA
Read the full case
ASMD staged reaction coordinate, nonequilibrium trajectories and PMF assembly schematicMethod demo
HS-CASE-0023 · Method demonstration · Molecular interactions

ASMD Enhanced Sampling for Unbinding-Pathway Exploration

This method demonstration stages a pulling coordinate and combines stage-wise Jarzynski averages to review pathways, sampling efficiency and PMF convergence. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities.

AsmdSteered MDEnhanced Sampling
Read the full case
Anonymized protein-interface comparison of a HADDOCK restraint path and an HDOCK global pathMethod demo
HS-CASE-0024 · Method demonstration · Molecular interactions

Complementary Protein–Protein Docking with HADDOCK and HDOCK

Constraint-guided and global rigid-body docking are demonstrated side by side from preparation and residue priors to clustering, interface review and independent scoring. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities.

HaddockHdockProtein Protein Docking
Read the full case
Region-level mutation-effect map for anonymized substrate systems A, B and CMethod demo
HS-CASE-0025 · Method demonstration · Protein and peptide engineering

Multi-System Mutation Design for Substrate Selectivity

Multiple anonymized protein–substrate systems are docked and locally scanned to compare mutation effects and create region-level experimental priorities. The graphical abstract brings together the principal sequence, structure and property results across candidates. The combined evidence establishes actionable priorities for sequences, sites or peptide candidates. The result-focused presentation supports efficient review of the main evidence and research priorities.

Virtual Saturation MutagenesisSubstrate SelectivityDocking
Read the full case
Figure 2. The chain sequence A results from the analysis of structures and interactions in the 100 ns molecular dynamics (MD) simulation process. (A) systemic RMSD as a whole changes over time; (B) system rotational radius changes overtime; (C) representative atomic pairs have a radial direction distribution function g (r); (D) hydrogen bonds (HBonds)ππ interactionsπππ ionic interactions and the number of salt bridges in the system change over time. (E) short-range van der Waals, SR) and static electrical Coulomb, SR interactions change overtime. (F) system solvents and surface area (SASA) can change with time.Report-backed
HS-CASE-0026 · Report-backed case · Self-assembly

Peptide Self-Assembly and Aggregation Dynamics

Explicit-solvent trajectories follow the peptide system from dispersed contacts to aggregated conformations, with complementary structural metrics describing the main assembly states. The graphical abstract links aggregation snapshots, structural metrics and conformational distributions across the assembly process. The combined results clarify aggregation paths, key contacts and representative states. The result-focused presentation supports efficient review of the main evidence and research priorities.

Peptide Self AssemblyMDCluster Analysis
Read the full case
Scientific chart in the report 1Report-backed
HS-CASE-0027 · Report-backed case · Protein complexes

Protein–Protein Complex Dynamics and Interface Stability Review

Trajectory stability, interface contacts, local energetic contributions and free-energy landscape projections jointly describe the principal states of the protein complex. The graphical abstract integrates interface poses, dynamic changes and local contributions across the complex states. The results establish clear priorities for representative models and key interface regions. The result-focused presentation supports efficient review of the main evidence and research priorities.

Protein Protein ComplexMDRmsd Rmsf Rg Sasa
Read the full case
Figure 1: Through the machine learning screening center genes. A-B) LASSO regression algorithm. C-D) SVM-RFE algorithm; E-F) RF algorithm.; LASSO, the smallest absolute contraction and selection algorithm, supporting vector regression characteristic elimination; RF, random forest.Report-backed
HS-CASE-0028 · Report-backed case · Omics and AI

Multi-Algorithm Machine-Learning Feature Screening and Core-Feature Prioritization

Feature rankings and intersections from three machine-learning algorithms are cross-compared to establish model-level priorities for the core features. The graphical abstract integrates data distributions, model responses and feature comparisons across analytical layers. The results establish clear priorities for features, perturbations or biomarker candidates. The result-focused presentation supports efficient review of the main evidence and research priorities.

LassoSvm RfeRandom Forest
Read the full case
Scientific chart in the report 4Related report subcase
HS-CASE-0029 · Report-backed case · Drug screening

Comparative Docking Modes Across Multiple Anonymous Compounds

Candidate compounds are compared under one protocol across binding poses, pocket fit and key contacts to establish a clear model-level ranking. The graphical abstract brings together candidate distributions, structural review and property comparisons across the screening funnel. The results establish a clear candidate hierarchy for experimental selection and subsequent lead optimisation. The result-focused presentation supports efficient review of the main evidence and research priorities.

Multi Compound DockingPose ReviewRelative Score
Read the full case
Scientific chart in the report 1Related report subcase
HS-CASE-0030 · Report-backed case · Molecular interactions

Paired-Ligand Docking Pose and Relative-Score Review

Representative poses, key contacts and relative-ranking trends for Candidates A and B are compared under a matched protocol. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities.

Paired Ligand DockingPose ReviewRelative Score
Read the full case
Figure 1. Molecular docking and molecular dynamics (MD) simulation analysis of protein-rich complexes. (A) The total binding conformation of the small molecule in the protein binding pocket, with a local enlargement diagram on the right of the binding point, showing the patterns of interactions between the critical residue and ligand, the green void representing the action of hydrogen bonds, the gray void represents the action to drain the hydrogen bond, and the orange void the pi-pi action; (B) the two-dimensional interaction between the ligand and the critical amino acid residue; (C) the protein、ligand and complex simulation in 100 ns molecular dynamics (MD) Changes in RMSD during tion; (D) RMSF distribution of protein main chain residues; (E) complex changes in radius of gyration during simulation; (Rg) changes in the surface area of solvent F) complex change over time; (G) changes of the distance between ligand mass and protein mass; (H) changes to the purpose of hydrogen bonds between protein ligand during simulated process; (I) analysis of the energy contribution of the critical amino acid residues to approximate binding free energy; (J) a two-dimensional projection map of the free-energy landscape (FEL) built on the basis of RMSD and Rg; (K) a static electricity distribution map of protein surfaces; (M) a complexconformation superimposition map of molecular dynamics (MD) simulation at 0 ns、50 ns and 100 ns.Related report subcase
HS-CASE-0031 · Report-backed case · Molecular interactions

In-Depth Protein–Ligand Dynamics Review

Trajectory stability, contact persistence and conformational overlays jointly describe the main dynamic features of the protein–ligand complex in explicit solvent. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities.

DockingMDRmsd Rmsf Rg Sasa
Read the full case
Distribution of activity data in training and testing centers.Report-backed
HS-CASE-0032 · Report-backed case · Drug screening

Candidate Inhibitor Discovery by Coupling Machine Learning with Physics-Based Models

Ligand-feature learning, structure-based screening, dynamics and property assessment are combined into a traceable prioritisation path. The graphical abstract brings together candidate distributions, structural review and property comparisons across the screening funnel. The results establish a clear candidate hierarchy for experimental selection and subsequent lead optimisation. The result-focused presentation supports efficient review of the main evidence and research priorities.

Machine LearningVirtual ScreeningDocking
Read the full case
Figure 1. The binding mode of the Target A compound Acomplex. A) The surface of the protein and ligand static forces and the pocket sample combined; B) the ligand combined conformation in Target A; C) Local interactions chart.Report-backed
HS-CASE-0033 · Report-backed case · Molecular interactions

Docking, Dynamics and Energetic Review of a Metal-Complex Candidate

Metal-complex parameterisation is followed by binding-pose, sampling-stability, local-interaction and approximate-energy review. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities. It also supports focused comparison across the disclosed computational results.

Metal ComplexDockingMD
Read the full case
Scientific chart in the report 1Report-backed
HS-CASE-0034 · Report-backed case · Quantum chemistry

Frontier-Orbital and Electrostatic-Potential Analysis of a Candidate Compound

Geometry optimisation with HOMO, LUMO and electrostatic-potential mapping describes donor/acceptor regions and reactivity clues. The graphical abstract combines electronic structure, electrostatic distribution and energetic features of the candidate system. The results provide clear leads for reactivity comparison, interaction interpretation and molecular optimisation. The result-focused presentation supports efficient review of the main evidence and research priorities.

DftGeometry OptimizationHomo Lumo
Read the full case
Figure 1, public targets for small molecules and diseases, as shown in the Venn diagram.Report-backed
HS-CASE-0035 · Report-backed case · Network pharmacology and toxicology

Layered Evidence Integration across Network Pharmacology, Docking and Dynamics

Evidence is organised across compounds, targets, pathways, structural poses and dynamic stability to build traceable priorities. The graphical abstract connects network, functional and structural results across the evidence layers. The cross-layer results establish focused priorities for targets, pathways and mechanistic investigation. The result-focused presentation supports efficient review of the main evidence and research priorities. It also supports focused comparison across the disclosed computational results.

Network PharmacologyEnrichmentDocking
Read the full case
Figure 1: All the ryanide sites in Target A.Report-backed
HS-CASE-0036 · Report-backed case · Protein and peptide engineering

Protein Lactylation (Kla) Site Prediction and Prioritisation

Protein-sequence-based Kla prediction is combined with local-window and confidence information to prioritise candidate modification sites. The graphical abstract brings together the principal sequence, structure and property results across candidates. The combined evidence establishes actionable priorities for sequences, sites or peptide candidates. The result-focused presentation supports efficient review of the main evidence and research priorities. It also supports focused comparison across the disclosed computational results.

Ptm PredictionKlaSequence Analysis
Read the full case
Figure 2. Analysis of the structure and interactions of tartaric acid and nitric acid in the 100 ns molecular dynamics (MD) simulation process. (A) Systemic RMSD as a whole changes over time; (B) System rotational radius changes overtime; (Rg) System radius varies over time. (C) Representative atomic pairs have a radial direction distribution function g (r); (D) The number of hydrogen bonds in the system changes with time.Report-backed
HS-CASE-0037 · Report-backed case · Self-assembly

Aggregation and Structural Evolution in Binary Co-Assembly

Explicit-solvent dynamics, aggregation snapshots and structural metrics trace a binary system from dispersion to co-aggregation. The graphical abstract links aggregation snapshots, structural metrics and conformational distributions across the assembly process. The combined results clarify aggregation paths, key contacts and representative states. The result-focused presentation supports efficient review of the main evidence and research priorities. It also supports focused comparison across the disclosed computational results.

Self Assembly MDCluster AnalysisRmsd Rg Sasa
Read the full case
Scientific chart in the report 4Related report subcase
HS-CASE-0038 · Report-backed case · Drug screening

Reverse Target Identification with Structural Docking and Functional Enrichment Review

Reverse-target retrieval, structural docking and functional enrichment are linked to form a tiered target shortlist. The graphical abstract brings together candidate distributions, structural review and property comparisons across the screening funnel. The results establish a clear candidate hierarchy for experimental selection and subsequent lead optimisation. The result-focused presentation supports efficient review of the main evidence and research priorities.

Reverse TargetingDockingEnrichment
Read the full case
Scientific chart in the report 1Related report subcase
HS-CASE-0039 · Report-backed case · Molecular interactions

Protein–Ligand Docking, Dynamics and MM/GBSA Review

A docked pose is reviewed through explicit-solvent dynamics, trajectory diagnostics, contact networks and approximate MM/GBSA energy. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities.

DockingMDMM/GBSA
Read the full case
Scientific chart in the report 1Related report subcase
HS-CASE-0040 · Report-backed case · Protein complexes

Protein-Complex Dynamics, Local Contributions and FEL Review

Representative conformations are reviewed through trajectory stability, interface contacts, local energetic contributions and FEL projections. The graphical abstract integrates interface poses, dynamic changes and local contributions across the complex states. The results establish clear priorities for representative models and key interface regions. The result-focused presentation supports efficient review of the main evidence and research priorities.

Protein Complex MDMM/GBSAResidue Decomposition
Read the full case
Table 2  DKK2-LRP6 contact interface hydrogen bonds and salt bridgesinteractionsRelated report subcase
HS-CASE-0041 · Report-backed case · Protein complexes

HADDOCK Restraint-Guided Docking, Clustering and Interface Review

Known or hypothesised interface restraints guide complex generation, followed by clustering, score-component and contact review. The graphical abstract integrates interface poses, dynamic changes and local contributions across the complex states. The results establish clear priorities for representative models and key interface regions. The result-focused presentation supports efficient review of the main evidence and research priorities.

HaddockRestraint DockingCluster Analysis
Read the full case
In Figure 1, the binding mode of the POSTN-FN1 complex is shown in blue as POSTn and in purple as PUSTNprotein. The yellow line represents hydrogen bonds, and the red line represent salt bridges.Related report subcase
HS-CASE-0042 · Report-backed case · Protein complexes

HDOCK Protein–Protein Pose and Interface Review

Representative HDOCK poses are reviewed by score, interface geometry and key contacts to identify working models for refinement. The graphical abstract integrates interface poses, dynamic changes and local contributions across the complex states. The results establish clear priorities for representative models and key interface regions. The result-focused presentation supports efficient review of the main evidence and research priorities.

HdockProtein Protein DockingInterface Analysis
Read the full case
Table 2 Hydrogen bond interactions with the ligand-receptor contact interfaceRelated report subcase
HS-CASE-0043 · Report-backed case · Protein complexes

Protein–Protein Docking Scores and Representative-Pose Comparison

Multiple protein-docking poses are compared under one protocol using model scores, cluster positions and interface features. The graphical abstract integrates interface poses, dynamic changes and local contributions across the complex states. The results establish clear priorities for representative models and key interface regions. The result-focused presentation supports efficient review of the main evidence and research priorities.

Protein Protein DockingScoringCluster Analysis
Read the full case
In Figure 1, the binding mode of the aaa-bbbcomplex, blue as aaa and purple as bbbprotein.Related report subcase
HS-CASE-0044 · Report-backed case · Protein complexes

Structure-Prediction-Guided Protein-Complex Modelling Review

Predicted monomer structures are quality-controlled, docked and inspected at the interface to produce working models for validation. The graphical abstract integrates interface poses, dynamic changes and local contributions across the complex states. The results establish clear priorities for representative models and key interface regions. The result-focused presentation supports efficient review of the main evidence and research priorities.

Structure PredictionProtein Protein DockingInterface Analysis
Read the full case
Scientific chart in the report 1Related report subcase
HS-CASE-0045 · Report-backed case · Molecular interactions

Candidate Binding-Pose Review across a Global Protein Search Space

Candidate binding regions are searched across the protein surface and ranked poses are reviewed for geometry and interactions. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities.

Global DockingPose ClusteringInteraction Analysis
Read the full case
Figure 1, based on the ligand-proteinbinding mode obtained by pairing; A-B: 3D mode of action of small molecule proteins, green lines represent the action of hydrogen bonds; C: 2D mode for small molecules and proteins.Related report subcase
HS-CASE-0046 · Report-backed case · Molecular interactions

Small-Molecule Docking Review in a Crystal-Defined Pocket

A crystal ligand or known pocket constrains the search space before pose geometry and key contacts are reviewed. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities.

Pocket DockingCrystal StructureInteraction Analysis
Read the full case
Scientific chart in the report 1Related report subcase
HS-CASE-0047 · Report-backed case · Molecular interactions

Docking-Pose Review of Hydrogen-Bond, Halogen-Bond and Electrostatic Interactions

Candidate poses are reviewed for the directionality, distance and local environment of hydrogen-bond, halogen-bond and electrostatic contacts. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities.

DockingHalogen BondHydrogen Bond
Read the full case
Scientific chart in the report 1Related report subcase
HS-CASE-0048 · Report-backed case · Molecular interactions

Hydrophobic-Pocket Docking Review on a Predicted Structure

Docking is performed in a candidate hydrophobic pocket on a predicted structure and interpreted with local structural confidence. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities.

Predicted StructurePocket DetectionDocking
Read the full case
Scientific chart in the report 1Related report subcase
HS-CASE-0049 · Report-backed case · Molecular interactions

Docking-Pose Review of Salt Bridges and Aromatic Interactions

Representative poses are reviewed through salt bridges, π interactions and pocket-shape complementarity. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities. It also supports focused comparison across the disclosed computational results.

DockingSalt BridgePi Interactions
Read the full case
Scientific chart in the report 1Related report subcase
HS-CASE-0050 · Report-backed case · Molecular interactions

Candidate Docking-Mode Comparison across Two Receptors

The same candidate is compared across two receptor environments using matched preparation, docking, representative poses, scores and key contacts. The graphical abstract aligns representative poses, key contacts and cross-condition comparisons so interaction patterns can be reviewed quickly. The combined results establish pose priorities and actionable interaction leads. The result-focused presentation supports efficient review of the main evidence and research priorities.

Cross Target DockingPose ComparisonInteraction Analysis
Read the full case
Active-learning virtual-screening workflowMethod demo
HS-CASE-0051 · Method demonstration · Drug screening

Project Design for Active-Learning Large-Scale Virtual Screening

A method demonstration for organising large-scale virtual screening around seed sampling, active-learning iterations and physics-based review. The graphical abstract brings together candidate distributions, structural review and property comparisons across the screening funnel. The results establish a clear candidate hierarchy for experimental selection and subsequent lead optimisation. The result-focused presentation supports efficient review of the main evidence and research priorities.

Active LearningLarge Scale Virtual ScreeningUncertainty Sampling
Read the full case
Transient pockets and ensemble docking in a disordered regionMethod demo
HS-CASE-0052 · Method demonstration · Drug screening

Virtual-Screening Workflow Driven by Pockets in Disordered Regions

A method demonstration spanning disordered-state ensembles, transient-pocket identification, ensemble docking and review. The graphical abstract brings together candidate distributions, structural review and property comparisons across the screening funnel. The results establish a clear candidate hierarchy for experimental selection and subsequent lead optimisation. The result-focused presentation supports efficient review of the main evidence and research priorities.

Disordered RegionPocket EnsembleVirtual Screening
Read the full case
Scientific chart in the report 1Report-backed
HS-CASE-0053 · Report-backed case · Protein and peptide engineering

Temperature-Dependent Dynamics and End-State Comparison of a Protein Mutant

This case compares RMSD, RMSF, radius of gyration, SASA and end-state conformations for a protein mutant under two temperature conditions. The graphical abstract shows differences in global fluctuations, local flexibility and structural compactness, together with temperature-associated secondary-structure features in the final snapshots. These results provide a focused basis for conformational prioritisation and subsequent structural review.

Mutation ModelingMolecular DynamicsRmsd Rmsf Rg Sasa
Read the full case
Figure 1. Binding mode of the Target A–Target B complex. Target A is shown in rose, Target B in blue, and yellow dashed lines indicate hydrogen bonds.Related report subcase
HS-CASE-0054 · Report-backed case · Protein complexes

Binding-Score and Interface Hydrogen-Bond Review of a Predicted Protein Complex

This case reviews a predicted protein-complex working model by integrating a model-derived score, the three-dimensional interface and a two-dimensional hydrogen-bond network. The graphical abstract aligns the overall assembly, interface contact regions and key hydrogen-bond positions. Together, these results connect the score with structural geometry and establish a representative conformation for interface refinement and subsequent dynamic review.

Structure PredictionProtein Protein DockingProdigy
Read the full case
START WITH THE QUESTION

Describe your research question and we will evaluate the right computational path

Start a project