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Similarity Searching & Chemical Space Mapping Training | Tanimoto, Fingerprints, Diversity & Maps

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Cheminformatics, ADMET & Computational Toxicology >> Similarity Searching & Chemical Space Mapping Training | Tanimoto, Fingerprints, Diversity & Maps

Similarity Searching & Chemical Space Mapping — Hands-on

Gain practical expertise in similarity searching and chemical space mapping to support hit expansion, lead hopping and library design. You will work with fingerprints, distance metrics, clustering and 2D/3D projections to understand how compounds are related, how to measure diversity and how to build focused, property balanced subsets for screening and modeling.

Similarity Searching & Chemical Space Mapping
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Session 1
Fee: Rs 8800
Similarity Concepts & Metrics
  • Why similarity matters in medicinal chemistry
  • activity cliffs scaffold hopping analogue series
  • Similarity and distance measures
  • Tanimoto / Dice cosine / Euclidean metric vs non metric
  • Basic toolchain and performance aspects
  • RDKit similarity functions KNIME similarity nodes indexing and speed basics
Session 2
Fee: Rs 11800
Fingerprints & Similarity Searching
  • Choice of fingerprints for similarity
  • ECFP / FCFP / Morgan path / substructure keys bit length & radius
  • Single query and batch similarity searches
  • nearest neighbour lists similarity cutoffs enrichment thinking
  • Hit list analysis and follow up design
  • chemotype inspection series expansion basic SAR context
Session 3
Fee: Rs 14800
Chemical Space Visualization & Diversity
  • From high dimensional features to maps
  • PCA / MDS t-SNE / UMAP projection choices
  • Diversity, clustering and coverage assessment
  • cluster based views distance histograms representative selection
  • Overlaying properties and activity on maps
  • color by activity / class chemotype highlighting gaps and hot spots
Session 4
Fee: Rs 18800
Mini Capstone: Focused Set & Space Maps
  • From large library to focused, diverse subset
  • Theory + Practical
  • Apply similarity, clustering and mapping workflow
  • seed selection and NN pull diversity picking 2D space visualization
  • Deliverables: hit list, focused set and chemical space plots
  • CSV/SMI subsets projection coordinates reproducible notebook or workflow


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