Project Design for Active-Learning Large-Scale Virtual Screening
Graphical abstract
Summary
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.
Computational results
Data curation
Data curation. Project path from seed sampling and iterative selection to physics-based review.
This figure presents the principal structures and trends in “Data curation” and connects them to the case-level ranking and result interpretation.
Full case PDF
Complete results, high-resolution figures and analysis are provided in the client PDF. Add our service account on WeChat and send HS-CASE-0051 to request it.