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Ligand Based Virtual Screening & Similarity Search Training | Fingerprints, Similarity & Hit Expansion

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Computational Drug Discovery, Chemoinformatics & QSAR/ADMET >> Ligand Based Virtual Screening & Similarity Search Training | Fingerprints, Similarity & Hit Expansion

Ligand Based Virtual Screening & Similarity Search — Hands-on

Learn how to exploit known actives to find new hits using ligand based virtual screening (LBVS) . This module walks through similarity principles, fingerprint based searching, clustering, simple ligand based models and practical workflows for hit expansion, scaffold hopping and library triage.

Ligand Based Virtual Screening & Similarity Search
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Session 1
Fee: Rs 8800
LBVS Foundations & Similarity Principles
  • Role of ligand based methods in discovery
  • when structure is weak or absent hit expansion and SAR mining orthogonality to docking
  • Concepts of molecular similarity and diversity
  • similar property principle local vs global similarity diversity vs enrichment trade offs
  • LBVS paradigms and workflows overview
  • similarity search substructure and SMARTS filters pharmacophore and shape ideas
Session 2
Fee: Rs 11800
Fingerprints, Similarity Metrics & Queries
  • Choosing and generating fingerprints for LBVS
  • ECFP style circular fingerprints structural keys (MACCS etc.) bit length and radius choices
  • Similarity and distance metrics in practice
  • Tanimoto and Dice indices threshold selection enrichment vs novelty behavior
  • Building and running similarity queries
  • single query by example multi query and consensus hits substructure & SMARTS filters
Session 3
Fee: Rs 14800
Hit Expansion, Clustering & Simple Models
  • Hit expansion strategies from one or few actives
  • close in analogs moderate distance exploration simple scaffold hopping
  • Clustering and diversity selection of candidates
  • fingerprint based clustering cluster representatives and medoids balancing similarity and spread
  • Using simple ligand based models to re rank hits
  • naïve Bayes / kNN on fingerprints enrichment vs complexity trade offs sanity checks with decoys
Session 4
Fee: Rs 18800
Mini Capstone: LBVS Campaign & Shortlist
  • Designing a small LBVS campaign around a reference ligand
  • Theory + Practical
  • Running similarity search, filtering and clustering
  • fingerprint generation pipeline hit list trimming with rules cluster based pick lists
  • Deliverables: ranked and clustered shortlist with rationale
  • CSV of prioritized candidates simple LBVS workflow notebook one page summary for chemists


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