Accelerating PROTAC and Molecular Glue Discovery through AI and Computational Modeling
Targeted Protein Degradation (TPD) is an emerging therapeutic strategy that eliminates disease-causing proteins by directing them to the cell’s natural protein degradation machinery. Technologies such as PROTACs (Proteolysis Targeting Chimeras) and Molecular Glues have transformed modern drug discovery by enabling the selective degradation of previously “undruggable” proteins. Artificial Intelligence (AI), structural bioinformatics, and molecular modeling are increasingly used to accelerate the identification, design, and optimization of these novel therapeutic molecules.
This 3-day international workshop introduces participants to the fundamentals of Targeted Protein Degradation and demonstrates how computational tools, structural databases, molecular visualization, and AI-assisted workflows can support the design and evaluation of PROTACs and Molecular Glues. Through practical hands-on sessions using Google Colab, Protein Data Bank (PDB), molecular visualization software, and AI-based analysis tools, participants will gain practical experience in computational TPD research.
To provide participants with a practical understanding of Targeted Protein Degradation (TPD) and demonstrate how AI, structural bioinformatics, and computational modeling can support the design, analysis, and optimization of PROTACs and Molecular Glues for next-generation drug discovery.
🛠️ Hands-on Activity:
Participants will use Protein Data Bank (PDB) and Mol* or PyMOL to visualize target proteins and E3 ligases involved in targeted protein degradation. They will explore protein structures, identify ligand-binding regions, and understand the structural basis of PROTAC-mediated protein degradation.
🛠️ Hands-on Activity:
Participants will use Google Colab and publicly available structural datasets to visualize protein–ligand interactions, explore simplified docking results, analyze binding interfaces, and investigate the formation of ternary complexes involved in targeted protein degradation.
🛠️ Hands-on Activity:
Participants will use Google Colab to analyze a curated dataset of PROTAC-like molecules, calculate molecular descriptors, compare candidate properties, and build a simple machine learning model to rank compounds based on predicted binding potential, drug-likeness, and physicochemical properties for targeted protein degradation applications.
This workshop is designed for undergraduate and postgraduate students, Ph.D. scholars and research fellows, faculty members and academicians, bioinformatics and computational biology researchers, structural biologists, medicinal chemists, drug discovery scientists, pharmaceutical and biotechnology professionals, AI and machine learning researchers, and industry professionals working in computational drug discovery, structural biology, and precision therapeutics.
November 19, 2026
IST 4:30 pm
November 19, 2026 – November 21, 2026
IST 5:00 pm
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.
