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QSAR, Pharmacophore & Virtual Screening Designs Training | QSAR Models, Pharmacophores & Hit Screening

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Structural Bioinformatics, Molecular Modeling & Simulation >> QSAR, Pharmacophore & Virtual Screening Designs Training | QSAR Models, Pharmacophores & Hit Screening

QSAR, Pharmacophore & Virtual Screening Designs — Hands-on

Learn how to design practical QSAR, pharmacophore and virtual screening workflows for hit finding and optimization. This module covers curated datasets, molecular descriptors, pharmacophore hypothesis building, screening cascades, enrichment metrics and reporting so that your designs are decision ready for discovery teams.

QSAR, Pharmacophore & Virtual Screening Designs
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Session 1
Fee: Rs 8800
QSAR Concepts, Data & Descriptors
  • QSAR problem framing and data curation
  • activity scales and endpoints duplicate and conflict handling train, validation and test splits
  • Molecular representations and descriptors overview
  • 2D and 3D descriptors fingerprints and feature counts descriptor scaling and filtering
  • Modeling ready dataset and basic statistics
  • class balance and activity histograms chemical space visualization ideas simple baseline models
Session 2
Fee: Rs 11800
Pharmacophore Hypotheses & Model Building
  • Binding mode ideas and feature definition
  • hydrogen bond donors and acceptors aromatic and hydrophobic features positive and negative ionizable sites
  • Ligand based and structure based pharmacophores
  • aligned active sets using co crystal structures optional exclusion volumes
  • Hypothesis refinement and validation ideas
  • tuning feature tolerances testing against actives and inactives visual and numerical diagnostics
Session 3
Fee: Rs 14800
Virtual Screening Cascades & Enrichment
  • Designing VS cascades that combine QSAR and pharmacophores
  • library preparation and filtering QSAR pre scoring and cutoffs pharmacophore and docking combinations
  • Enrichment metrics and applicability domain concepts
  • ROC and enrichment plots coverage of chemical space distance based applicability ideas
  • Shortlisting, diversity picking and series selection
  • ranking and clustering hits series based selection strategies exporting lists with key descriptors
Session 4
Fee: Rs 18800
Mini Capstone: QSAR + Pharmacophore Screening
  • Define target, data set and screening objectives
  • Theory + Practical
  • Build a QSAR model and pharmacophore, then run a cascade
  • QSAR scoring on a library pharmacophore filtering enrichment and ranking review
  • Deliverables: hit list, diagnostics and methods report
  • ranked compounds with scores plots and chemical space summaries documented workflow for reuse


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