This website uses cookies to improve your experience. Read our Privacy Policy
Research articles, tutorials, and practical guidance tagged Virtual Screening.
Find a method, workflow, scientific concept, or software decision.
Estimate Vina runtime from a representative local benchmark, then plan CPU allocation, exhaustiveness, concurrency, and batch throughput without relying on a universal minutes-per-ligand claim.
Read the analysisFilter the publication by research area or keyword.
Evidence-led articles on scientific methods, reproducible workflows, and software decisions.
A favorable docking score does not tell you whether a ranked list retrieves known actives early. Follow a complete numerical example and distinguish early enrichment from whole-ranking metrics.
Decide whether molecular dynamics should follow a Vina screen by the unresolved scientific question, decision value, model readiness, replicate plan, and evidence—not as a ritual confirmation step.
Choose between Vina and GNINA by the decision, target-relevant benchmark, deployment constraints, throughput, and reproducibility—not by assuming empirical or CNN scoring wins everywhere.
Use molecular docking to test scaffold-hop candidates with explicit design constraints, controlled pose comparison, multi-evidence review, and prospective experimental closure.
Build a focused ligand library with traceable identities, chemical diversity, target-specific controls, verified compound availability, and a versioned docking manifest.
Learn how to curate existing-drug libraries, validate a molecular docking protocol, review structural hypotheses, and prioritize candidates for experimental repurposing studies.
A practical AutoDock Vina reporting checklist for preserving prepared inputs, software versions, search-box geometry, parameters, seeds, raw poses, failures, and the evidence needed to re-execute a docking study.
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.
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.