Find a computational service by research question
Browse eight research areas, focused topics or keywords to review method choices, input requirements, quality controls and concrete deliverables.
Showing 90 of 90 research services
AI-assisted drug discovery
Combine representation learning, property prediction and physics-based screening into an auditable prioritisation workflow.
AI-assisted drug target discovery
Integrate genetics, multi-omics, literature and knowledge-graph evidence into traceable disease-target priorities and validation hypotheses.
Structure-based drug design
Start from target structures, pocket states and interaction hypotheses, then combine hotspot mapping, fragment growth, pose filtering and lead optimisation.
Ligand design, pharmacophores and QSAR
When structural information is limited, build interpretable chemical-space models around active ligands, descriptors and applicability domains.
ADMET and computational toxicology
Integrate structural alerts, property models, analogues and network evidence to triage absorption, distribution, metabolism, excretion and toxicity risks.
Virtual screening
Build a traceable hit-finding path from library quality control and staged screening to expert review.
Small-molecule–protein docking
Evaluate plausible small-molecule binding poses and interactions across protein pockets, ligand microstates and conformational sampling.
Peptide–protein docking
Explore plausible binding modes for flexible peptides using peptide ensembles, receptor interfaces and available restraints.
Protein–protein docking
Combine global or local search, conformational ensembles and interface evidence to propose testable protein-complex assemblies.
Antigen–antibody docking
Build candidate antigen–antibody recognition modes around CDR conformations, antigen epitopes and experimental evidence.
Nucleic-acid–protein docking
Explore candidate nucleic-acid–protein interfaces while explicitly considering DNA/RNA conformation, charge and known recognition sites.
Metal–protein docking
Assess candidate metal-binding modes using oxidation state, coordination geometry, protein protonation and site evidence.
Fully flexible docking
Expand ligand and receptor side-chain/backbone sampling for systems with possible induced fit or multi-conformation recognition.
Covalent docking
Build reaction-aware covalent-complex hypotheses around the warhead, protein nucleophile and non-covalent pre-complex.
Molecular dynamics
Use time-evolution sampling to assess conformational stability, interaction occupancy and plausible mechanistic paths.
Free-energy calculations
Select endpoint, absolute or relative free-energy strategies according to system similarity, budget and precision goals.
Protein design
Connect sequence generation, structure screening, interface assessment and experimental prioritisation in traceable design cycles.
Antibody modelling and computational design
Build a computational assessment path around Fv structure, CDR conformations, antigen epitopes and antibody developability.
Protein interaction and interface analysis
Combine complex-structure prediction, docking, interface hotspots and dynamics review to study protein recognition and regulation.
Peptide and cyclic-peptide design
Design peptide candidates around target interfaces, conformational constraints and developability, then build a screening funnel.
Bioinformatics and multi-omics
Start from study design and quality control, then connect statistical testing, pathways, networks and biological interpretation.
Single-cell and spatial omics
Start with sample and sequencing QC, then resolve cell populations, state trajectories, spatial neighbourhoods and associations in tissue microenvironments.
AI bioinformatics
Use biological foundation models and machine learning through task adaptation, baseline comparison and uncertainty assessment.
AI virtual cells and perturbation prediction
Use single-cell and multi-omics representations for genetic or chemical perturbation scenarios that generate experimental priorities and testable hypotheses.
Self-assembly and supramolecular simulation
Study aggregation, morphology evolution and stability from molecular units, scale choice and initial conditions.
Computational chemistry
Use an explicit level of theory to study molecular conformations, non-covalent interactions, spectra and reaction trends.
Quantum chemistry and reaction mechanisms
Build reviewable mechanistic hypotheses around transition states, barriers and electronic rearrangement.
Protein structure modelling and refinement
Build structural models from sequences, templates and experimental restraints, with systematic assessment of local geometry, confidence and usable scope.
Membrane-protein and biomembrane modelling
Construct membrane environments with lipids, ions, ligands and glycosylation to study membrane-protein conformations and interfaces.
Enhanced sampling and conformational free energy
Select collective variables and sampling strategies for high barriers and rare conformations, comparing transitions and relative free energies.
Materials modelling and candidate screening
Combine electronic structure, atomistic simulation and data-driven screening for catalysts, batteries, adsorption and functional materials.
Genomics and transcriptomics analysis
Build an end-to-end path from raw-data QC to statistical interpretation and external validation for variation, expression and regulation.
Proteomics, metabolomics and lipidomics
Start from feature tables and identification evidence, handling batch, missingness and annotation uncertainty to connect molecular changes, pathways and phenotypes.
Network pharmacology and target-mechanism analysis
Integrate compound, target, disease and pathway evidence into traceable multi-target hypotheses and experimental priorities.
Reverse target screening
Start from an anonymized small molecule and combine pocket-representation retrieval, structure preparation, batch docking and functional evidence to reduce the target-validation space.
Competitive binding simulation
Compare interface contacts, conformational states and approximate energetic trends under matched conditions with and without a competitor to form a testable competition hypothesis.
Electronic structure and molecular properties
Analyse electrostatic potential, frontier orbitals and relative molecular descriptors under explicit charge, protonation, conformation and solvent assumptions.
Non-covalent weak-interaction analysis
Combine IGM, contact geometry and appropriate density descriptors to locate hydrogen-bonding, dispersion and steric regions and compare relative interaction patterns.
Multicomponent mixture and phase-behaviour simulation
Track clustering, interfaces and aggregation dynamics in explicit multicomponent systems to identify finite-scale phase-behaviour trends.
Custom scientific computing platforms
Organise data, models, compute jobs, permissions and reports into a deployable and auditable research system.
Pharmacophore modelling
Derive essential interaction features from active ligands or complex structures for chemical-space search, activity interpretation and candidate prioritisation.
Fragment-based drug design
Use pocket hotspots and fragment poses to support fragment screening, linking, growing and scaffold replacement with synthesizable proposals.
PROTAC design and assessment
Evaluate target ligands, E3 ligands, linkers and ternary-complex conformations together to compare geometry and developability constraints in degrader design.
PROTAC linker design and optimisation
Sample linker length, flexibility, exit vectors and physicochemical properties to reduce the synthesizable linker design space.
Molecular-glue design
Compare small-molecule designs that may stabilise induced protein interfaces through binding-site and neomorphic-contact analysis.
Drug repurposing
Integrate disease mechanisms, drug targets, transcriptional responses, structural compatibility and safety information into traceable repurposing priorities.
Covalent virtual screening
Combine warhead filtering, nucleophilic-residue geometry, non-covalent preorganisation and covalent docking to triage covalent candidates.
Multi-target virtual screening
Compare candidate binding across primary targets, homologues or antitargets to support polypharmacology design and selectivity-risk ranking.
Compound-library design and database mining
Build screening-ready collections around chemical quality, scaffold diversity, property windows, availability and project hypotheses.
PBPK and pharmacokinetic modelling
Build research-use pharmacokinetic models from species physiology, compound properties and in-vitro or in-vivo data to compare exposure scenarios and parameter sensitivity.
Molecular docking and SAR interpretation
Relate activity changes in a congeneric series to candidate poses, substituent vectors and local environments to form testable SAR explanations.
Residue-interaction and hotspot analysis
Combine interface geometry, contact occupancy, energy decomposition and conservation to locate regions that may influence binding or recognition.
AlphaFold model docking-readiness assessment
Review local confidence, pocket geometry, conformational state and template support to decide which predicted regions are suitable for docking.
Small-molecule–DNA/RNA docking
Consider nucleic-acid conformation, charge, grooves and base stacking when exploring candidate small-molecule recognition modes for DNA or RNA.
Carbohydrate–protein docking
Account for ring conformations, glycosidic torsions and hydroxyl networks when comparing oligosaccharide, glycan or glycomimetic binding modes.
Enzyme–small-molecule interaction modelling
Compare candidate recognition modes for substrates, inhibitors or modulators around catalytic states, access channels, cofactors and protonation.
All-atom molecular dynamics
Track biomolecules, ligands, solvent and ions at atomic resolution to analyse reproducible structural and interaction trends.
Coarse-grained molecular dynamics
Reduce degrees of freedom to access larger scales for membranes, self-assembly, polymers and large complex systems.
Umbrella sampling and PMF
Place overlapping windows along a defined reaction coordinate to reconstruct a relative potential of mean force with overlap and convergence checks.
Steered molecular dynamics
Apply controlled external forces along defined directions to compare dissociation paths, mechanical response and follow-up free-energy windows.
Replica-exchange molecular dynamics
Expand conformational sampling through temperature- or Hamiltonian-space replica exchange for peptides, folding units and multistable systems.
Targeted molecular dynamics
Apply progressive restraints between known start and target structures to generate candidate transition paths and locate possible structural bottlenecks.
Antibody molecular dynamics
Compare antibody conformational stability and local flexibility around CDRs, frameworks, antigen interfaces and optional glycosylation states.
Antibody humanisation design
Use germline-framework selection, CDR grafting, back-mutation and structural review to propose humanised sequences that preserve recognition geometry.
Antibody affinity maturation
Combine interface hotspots, sequence constraints, mutation enumeration and structural review to reduce the experimental search space for affinity maturation.
Bispecific antibody design
Compare bispecific antibody formats around two recognition arms, molecular architecture, chain pairing and spatial accessibility.
Single-domain and nanobody design
Model and optimise single-domain antibodies around framework features, long CDR3 loops, solubility and epitope accessibility.
Enzyme design and optimisation
Propose testable enzyme mutations and substrate-selectivity designs around catalytic geometry, access channels, stability and sequence constraints.
Computational protein-vaccine design
Integrate antigen sequence, structural exposure, epitope prediction, conservation and population coverage into experimental construct proposals.
Peptide-library design
Build tractable peptide libraries around sequence diversity, interface hotspots, physicochemical properties, modifications and synthesis constraints.
Cyclic-peptide conformational modelling
Generate cyclic-peptide ensembles for head-to-tail cyclisation, side-chain bridges and non-natural modifications to compare preorganisation and target compatibility.
Epigenomics analysis
Analyse condition-associated epigenetic regulation through chromatin accessibility, histone marks, DNA methylation and regulatory elements.
mRNA expression analysis
Process raw RNA sequencing or expression matrices through QC, quantification, differential expression, splicing and functional interpretation.
microRNA analysis
Analyse small-RNA expression, differential microRNAs, candidate targets and pathways with mRNA or phenotype cross-validation.
Microbiome and metagenomics analysis
Assess community composition, functional potential, differential features and host-phenotype associations from amplicon or metagenomic data.
Biomarker and target identification
Integrate phenotype, omics, genetics and external evidence while separating predictive performance, mechanistic association and intervention feasibility.
Survival analysis
Analyse research time-to-event outcomes around event definitions, follow-up, censoring and covariates, with effect estimates, assumption checks and uncertainty.
Research clinical-data analysis
Analyse de-identified research datasets through data dictionaries, descriptive statistics, association models and sensitivity analyses for research rather than care decisions.
Gene co-expression network analysis
Identify coordinated expression modules and relate them to phenotypes, cell states and functional pathways.
Gene regulatory network analysis
Infer condition-associated candidate regulation by integrating expression, regulatory elements, transcription-factor motifs and optional perturbation data.
Conformer search and geometry optimisation
Build a low-energy conformer ensemble through staged search and quantum-chemical optimisation for spectra, reactions and property calculations.
Transition-state and reaction-pathway calculations
Search candidate transition states, validate them by frequencies and reaction-path connections, and compare relative barriers and structures across mechanisms.
QM/MM multiscale modelling
Treat bonding, electrons and metal centres in a quantum region while retaining protein or material environmental constraints with molecular mechanics.
Computational spectrum prediction
Predict IR, UV, NMR, ECD, VCD or fluorescence features from low-energy conformers and suitable theory to support peak and conformer assignment.
First-principles materials calculations
Use periodic electronic-structure calculations to compare trends in crystal stability, bands, density of states, surfaces and defects.
Catalyst discovery and reaction mechanisms
Compare catalytic centres, adsorbates, intermediates and candidate pathways to prioritise catalyst compositions and experimental conditions.
Battery materials and electrolyte design
Compare battery materials and electrolyte candidates through electrode structure, ion transport, solvation and interfacial reactions.
Porous adsorption and separation materials
Compare pore structure, adsorption sites, capacity and mixture selectivity trends in MOFs, COFs, zeolites or porous polymers.
Polymer, coating and adhesive formulation
Compare polymer, coating and adhesive candidates through chain conformation, component compatibility, interfacial adhesion and formulation descriptors.
Pharmaceutical polymorph, salt and cocrystal design
Compare pharmaceutical solid-form candidates through molecular complementarity, crystal structures, periodic energetics and property risks.