Training Drug discovery
ML-Driven Bioactivity Prediction: from data to discovery
A two-week live program applying machine learning to predict the biological activity of chemical compounds for modern drug discovery.
- 2 weeksMon–Fri, live online
- 1 houra day, evening IST
- 7 modulesMachine learning
Next cohort
Dates to be announced
- Duration2 weeks
- ScheduleMon–Fri · 1 hour a day
- ModeLive online (Google Meet)
Curriculum
Machine learning for drug discovery
Seven modules from chemical data to predictive models and virtual screening.
Google ColabJupyterPaDELRDKitPythonpandasAutoDock Vina
01
Foundations of bioactivity prediction and ML
How machine learning is used to predict bioactivity.
02
Chemical databases and descriptors
Retrieve compounds and generate molecular descriptors. Tools: PaDEL, RDKit.
03
Core ML algorithms for bioactivity prediction
The algorithms behind bioactivity models.
04
Building and evaluating predictive models
Train, evaluate and compare models. Tools: Python, pandas.
05
ML-driven virtual screening
Screen compounds with trained models.
06
Molecular docking essentials
Complement ML predictions with docking. Tool: AutoDock Vina.
07
ADME prediction
Predict absorption, distribution, metabolism and excretion properties.
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.
| Category | India (INR) | International (USD) |
|---|---|---|
| Students (up to Master’s) | ₹2,250 | USD 40 |
| PhD scholars | ₹2,500 | USD 45 |
| Postdocs / research scholars | ₹2,750 | USD 50 |
| Staff / faculty | ₹3,000 | USD 55 |
| Industry professionals | ₹3,500 | USD 60 |
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 ML-Driven Bioactivity Prediction?
Get notified when the next cohort opens, or ask us about prerequisites and fees.