Training Drug discovery

Network Pharmacology & Molecular Docking for Modern Drug Discovery

An 8-day live program on how bioactive compounds interact with biological targets: identifying compound–target interactions, building protein interaction networks and analyzing binding with modern tools.

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  • 8 daysMon–Fri, live online
  • 1 houra day, evening IST
  • 8 modulesNetworks and docking

Next cohort

Dates to be announced

  • Duration8 days
  • ScheduleMon–Fri · 1 hour a day
  • ModeLive online (Google Meet)
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Curriculum

From compounds to networks to binding

Eight modules covering the full network pharmacology workflow, with case studies.

PubChemSwissADMESwissTargetPredictionGeneCardsVennySTRINGCytoscapeAutoDock Vina

01

Introduction to network pharmacology

Principles of computational network pharmacology.

02

Chemical structure retrieval

Retrieve compound structures. Tool: PubChem.

03

Physicochemical property analysis

Assess drug-likeness and properties. Tool: SwissADME.

04

Disease target identification

Predict and select targets. Tools: SwissTargetPrediction, GeneCards, Venny.

05

Protein interaction networks

Build protein–protein interaction networks. Tool: STRING.

06

Network visualization

Visualize and analyze networks. Tool: Cytoscape.

07

Molecular docking

Analyze molecular binding. Tool: AutoDock Vina.

08

Case studies

Apply the workflow to real examples.

Who should apply

Eligibility

  • Students in B.Sc., B.Tech., M.Sc., M.Tech. or PhD programs in life sciences or computer science
  • Postdocs and research scholars
  • Teaching and industry professionals
  • Researchers and professionals in pharma, biotech, chemistry and data science

What’s included

Program benefits

  • Live, instructor-led sessions
  • Recordings of every session
  • Workshop materials
  • Certificate
  • Online technical support after the workshop

Fees

Course fees

One fee covers all live sessions, recordings, materials and the certificate. Payment and registration open when the next cohort is announced.

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CategoryIndia (INR)International (USD)
Students (up to Master’s)₹2,000USD 45
PhD scholars₹2,500USD 50
Postdocs / research scholars₹2,750USD 55
Staff / faculty₹3,000USD 60
Industry professionals₹3,500USD 65
Fees from the most recent cohort. USD fees apply to anyone living, working or studying outside India.

Teaching team

Course instructors

AADr. Ajitha AntonyBioinformatics Trainer, CBIRT

TADr. Tamanna AnwarFounder, CBIRT

Format

How the course runs

  • DatesTo be announced
  • SessionsMon–Fri, 1 hour a day (last cohort: 6:00–7:00 PM IST)
  • PlatformGoogle Meet (live)
  • Missed a session?Recordings provided

FAQ

Course questions

When does the next cohort start?

Dates are not announced yet. Click Notify me or message us on WhatsApp, and we’ll tell you when enrollment opens.

Do I need prior experience?

A basic understanding of bioinformatics is expected.

What will I need on my computer?

A computer running Windows 10/11, macOS or Linux, with a reliable internet connection. Google Meet runs in your web browser.

What if I miss a live session?

Every session is recorded, and you get access to the recordings.

Will I get a certificate?

Yes. The certificate is awarded on completing the course assignment.

Interested in Computational Network Pharmacology?

Get notified when the next cohort opens, or ask us about prerequisites and fees.

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