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Drug Discovery Fundamentals & Cheminformatics Basics Training | R&D Pipeline, Targets & Chemical Space

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Computational Drug Discovery, Chemoinformatics & QSAR/ADMET >> Drug Discovery Fundamentals & Cheminformatics Basics Training | R&D Pipeline, Targets & Chemical Space

Drug Discovery Fundamentals & Cheminformatics Basics — Hands-on

Build a strong foundation in modern small-molecule drug discovery and cheminformatics. From the R&D pipeline and target selection to chemical space, molecular properties and in-silico thinking, this module prepares you for downstream QSAR, virtual screening, docking and ADMET workflows in later tracks.

Drug Discovery Fundamentals & Cheminformatics Basics
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Session 1
Fee: Rs 8800
Drug Discovery Landscape & R&D Pipeline
  • Pharma R&D lifecycle and discovery pipeline
  • discovery → preclinical → clinical attrition & decision gates small vs large molecules
  • Target product profiles and modality choices
  • TPP & unmet need small molecules / biologics / peptides risk/benefit framing
  • Role of in-silico methods in discovery
  • virtual screening QSAR & property prediction ADMET & risk triage
Session 2
Fee: Rs 11800
Targets, Ligands & Chemical Space
  • Target selection and validation concepts
  • genetic & pathway evidence phenotypic vs target-based druggability
  • Ligand types and binding basics
  • agonist / antagonist / inhibitor affinity & potency selectivity & off-targets
  • Chemical space and libraries
  • fragments & scaffolds HTS vs focused sets diversity vs depth
Session 3
Fee: Rs 14800
Cheminformatics Foundations & Toolchain
  • Molecular file formats and identifiers
  • SMILES / canonical SMILES InChI / InChIKey SDF / MOL2
  • Basic molecular properties and rules
  • MW, logP, HBD/HBA Lipinski & Veber rules alerts & red flags
  • Open-source toolchain overview
  • RDKit (Python) KNIME workflows Open Babel & CDK basics
Session 4
Fee: Rs 18800
Mini Capstone: From Brief to Design Sketch
  • Framing a simple discovery problem and constraints
  • Theory + Practical
  • Searching and curating a small virtual library
  • PubChem / ChEMBL concepts basic filters & rules simple prioritization grid
  • Deliverables: rationale, library sheet and next-step plan
  • spreadsheet with key properties one-page design note link to future QSAR/VS modules


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