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Research articles, tutorials, and practical guidance tagged Virtual Screening.
Find a method, workflow, scientific concept, or software decision.
Choose a receptor by target state, local pocket evidence, ligand context, and validation. Compare when a holo, apo, AlphaFold, or receptor ensemble best fits a reproducible protein-small-molecule docking campaign.
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Evidence-led articles on scientific methods, reproducible workflows, and software decisions.
A docking screen ends with a ranked list, but an assay needs a defensible shortlist. Learn how to combine rank, pose quality, chemical diversity, artifact risk, availability, and controls before experimental testing.
Modern in silico drug discovery is not one algorithm. Learn how target evidence, structure prediction, molecular docking, virtual screening, AI, physics-based refinement, and experiments work as one traceable decision system.
Screen multiple ligands without losing the scientific record. Preserve stable identities, one frozen Vina protocol, failures, ranked poses, exports, and local job history across the batch.
Validate a molecular docking workflow before committing a ligand library: separate pose recovery from screening discrimination, test early enrichment and robustness, and define a defensible go/no-go decision.
A practical buyer guide for researchers evaluating molecular docking software: preparation, search-space control, engine settings, pose review, job history, export, licensing, and fit.
AlphaFold has dramatically reduced the structural bottleneck that kept many protein targets outside docking studies. Learn how predicted structures become receptor starting points for protein–small-molecule docking and virtual screening with AutoDock Vina.