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SUMMARY:Geometric Deep Learning for Structure-Based Drug Design - Zixing S
 ong
DTSTART:20250219T110000Z
DTEND:20250219T123000Z
UID:TALK228670@talks.cam.ac.uk
CONTACT:120952
DESCRIPTION:Geometric deep learning is revolutionizing structure-based dru
 g design (SBDD)\, enabling us to harness the full potential of three-dimen
 sional protein structures for drug development. In this talk\, I will pres
 ent a comprehensive overview of how geometric deep learning approaches adv
 ance critical tasks in SBDD\, from binding site prediction to linker desig
 n. I will examine the latest architectures that can effectively process an
 d learn from 3D structural data and discuss their practical applications i
 n drug discovery pipelines. Looking ahead\, I will also highlight some eme
 rging opportunities in this rapidly evolving field.
LOCATION:Cambridge University Engineering Department\, CBL Seminar room BE
 4-38.
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