Loading Video...
NTHRYS
Arrow

Capstone — Integrated Computational Drug Design Project Training | End to End Discovery Case

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Computational Drug Discovery, Chemoinformatics & QSAR/ADMET >> Capstone — Integrated Computational Drug Design Project Training | End to End Discovery Case

Capstone — Integrated Computational Drug Design Project — Hands-on

Apply the full workflow from this track in a guided capstone that simulates a small discovery project. Starting from a concise target or problem brief, you will curate data, build QSAR models, run focused virtual screening, analyze binding stability and ADMET risks, and deliver a ranked, defendable hit or lead proposal with a project style report.

Capstone — Integrated Computational Drug Design Project
Help Desk · WhatsApp
Session 1
Fee: Rs 8800
Project Brief, Data & Plan
  • Reading and clarifying the target or project brief
  • target biology and indication success criteria and constraints timeline and realistic scope
  • Data collection, curation and problem framing
  • public and provided data pulls cleaning, standardization and splits defining tasks and endpoints
  • Designing the integrated in silico work plan
  • which QSAR, docking and MD pieces to run ADMET and chemogenomics checks to include simple milestones and deliverables
Session 2
Fee: Rs 11800
Modeling, Screening & Design Loops
  • Building compact QSAR or property models for the case
  • baseline models with clean splits simple interpretability and sanity checks using predictions to guide design
  • Virtual screening and docking for the project brief
  • choosing structure vs ligand based routes shortlisted libraries or de novo ideas basic consensus and rescore views
  • Optional MD and free energy checks for key poses
  • simple stability or interaction metrics identifying fragile vs robust binders notes on resource trade offs
Session 3
Fee: Rs 14800
Prioritization, Risks & Shortlist
  • Integrating potency, selectivity and ADMET views
  • multiparameter and rank based views chemogenomics and off target hints simple risk and opportunity tagging
  • Selecting a defendable hit or lead shortlist
  • top candidates and back up options chemistry feasibility and library context flagging experimental priorities
  • Documenting assumptions, limits and uncertainties
  • clear notes on data quality model and applicability caveats next step suggestions and risks
Session 4
Fee: Rs 18800
Final Report, Slides & Review
  • Assembling a project style report and appendix
  • Theory + Practical
  • Creating a concise slide deck for stakeholders
  • problem, approach and key results shortlist and rationale risks, next steps and requests
  • Review feedback and reflection on the workflow
  • peer or mentor style comments what worked and what to change next time mapping skills to real project roles


PDF