Understanding what drug discovery is, why it is challenging, and how AI is helping researchers make the process faster, smarter, and more data-driven.
AI-Driven Drug Discovery: Tools, Workflows and Applications is a 2-day online mentor-led workshop designed to introduce UG and PG students to the growing role of Artificial Intelligence in drug discovery and pharmaceutical research. The workshop covers the fundamentals of drug discovery, biomedical and molecular data, AI-based virtual screening, drug-likeness prediction, ADMET analysis, lead optimization, and future applications of AI in biomedical innovation.
Participants will explore key databases and tools such as PubChem, ChEMBL, DrugBank, Protein Data Bank, UniProt, BindingDB, SwissADME, Molinspiration, and Google Colab. Through guided activities, students will map AI applications across the drug discovery pipeline and evaluate sample compounds based on drug-like properties and basic screening parameters.
By the end of the workshop, participants will gain a clear understanding of how AI is transforming drug discovery and how computational tools can support faster, smarter, and more efficient pharmaceutical research.
To introduce students to the basic concepts, applications, tools, databases, and workflows of Artificial Intelligence in drug discovery and pharmaceutical research. The workshop will help participants understand how AI supports target identification, virtual screening, drug-likeness prediction, ADMET analysis, lead optimization, and future biomedical innovation.
May 9, 2026
IST 5.30 PM
May 9, 2026 – May 10, 2026
IST 6.30 PM
₹2,499
$50
The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
