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Molecular Representations — SMILES InChI Fingerprints Training | Encoding Molecules for QSAR & Screening

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Computational Drug Discovery, Chemoinformatics & QSAR/ADMET >> Molecular Representations — SMILES InChI Fingerprints Training | Encoding Molecules for QSAR & Screening

Molecular Representations — SMILES, InChI & Fingerprints — Hands-on

Understand how real molecules are converted into machine-usable objects for QSAR, virtual screening and molecular ML. This module covers chemical graph concepts, SMILES and InChI encodings, and practical use of fingerprints for similarity, clustering and basic library analytics using open-source toolkits.

Molecular Representations — SMILES InChI Fingerprints
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Session 1
Fee: Rs 8800
Atoms, Bonds & Molecular Graphs
  • Chemical graphs and internal representation of molecules
  • atoms, bonds, adjacency valence & formal charge aromaticity flags
  • Isomerism, tautomers and stereocenters at representation level
  • constitutional isomers E/Z and R/S centers tautomer handling
  • From drawings to data structures
  • sketchers & structure editors file import and sanitization basic quality checks
Session 2
Fee: Rs 11800
SMILES & InChI Encodings
  • SMILES basics and writing rules
  • atoms and branches rings and aromaticity isomeric SMILES
  • Canonicalization, stereochemistry and charges in SMILES
  • canonical vs input SMILES stereo flags charged species handling
  • InChI and InChIKey layers
  • connectivity layer stereo and charge layers linking databases with InChIKey
Session 3
Fee: Rs 14800
Fingerprints for Similarity & QSAR
  • Structural keys and substructure fingerprints
  • MACCS keys PubChem style keys substructure presence flags
  • Circular and path based fingerprints
  • ECFP style circular encoding radius and bit length choices hashing and collisions
  • Similarity metrics and distance notions
  • Tanimoto and Dice cosine and Hamming thresholds for hits
Session 4
Fee: Rs 18800
Mini Capstone: Similarity Search & Clustering
  • Building a fingerprint matrix from a small library
  • Theory + Practical
  • Running simple similarity search and enrichment checks
  • query by example hit lists and cutoffs basic scaffold overview
  • Clustering and simple visualization of chemical space
  • hierarchical or k means clustering heatmaps and similarity maps deliverables for later QSAR modules


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