What is this course about?

It teaches the end-to-end practical application of Generative AI for Drug Design, focusing on building measurable, production-relevant outcomes.

Basic familiarity with interpreting data is needed; however, the course is structured to handle implementation details without requiring an advanced coding background.

🧬 Open Datasets & Research Resources

Drug Discovery & Pharmaceutical Sciences

Open-access datasets and repositories to practise the methods taught in AI for De Novo Drug Design | Generative AI Chemistry Course.

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Protein Data Bank
Target structures for docking
Open ↗
ChEMBL
Bioactivity & assay data
Open ↗
PubChem
Compound libraries
Open ↗
DrugBank
Drug & target reference
Open ↗

External links open in a new tab; DSTC is not affiliated with these repositories.

Earn government-registered certification in AI for De Novo Drug Design | Generative AI Chemistry Course

e-Certificate and e-Marksheet issued on successful completion.

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Scholar Registration

For scholars whose department, college or employer pays the fee. We raise a proforma invoice to your institution; you attach the signed processing letter or bank slip.

Academic Registry Hub

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