Training Drug discovery

QSAR: from molecular data to predictive models

An 8-day live program on QSAR concepts and predictive model building, using Python and visual workflow tools on real-world data.

  • 8 daysMon–Fri, live online
  • 1 houra day, evening IST
  • 8 modulesPython and KNIME

Next cohort

Dates to be announced

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

Curriculum

Build, validate and deploy QSAR models

Eight modules from QSAR concepts to complete visual workflows.

ChEMBLPubChemJupyterRDKitPythonPandasscikit-learnXGBoostMatplotlibSeabornKNIME

01

QSAR concepts, applications and workflow

What QSAR is and how a QSAR project runs.

02

Data collection and molecular formats

Collect compound data and work with molecular formats. Tools: ChEMBL, PubChem.

03

Python basics for QSAR

The Python you need for QSAR modeling.

04

Descriptor calculation

Calculate molecular descriptors. Tool: RDKit.

05

Data processing with Python and Pandas

Clean and prepare data for modeling. Tool: Pandas.

06

Model training

Linear regression, random forest, decision trees, XGBoost and MLP. Tools: scikit-learn, XGBoost.

07

Model validation and visualization

Validate models and visualize results. Tools: Matplotlib, Seaborn.

08

Visual QSAR pipelines

Create workflows visually and compare with Python. Tool: KNIME.

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.

CategoryIndia (INR)International (USD)
Students (up to Master’s)₹2,000USD 40
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 QSAR Modeling?

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

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