KIDDS monthly seminar series 2023

	Title	Speaker	Affiliation	Date
Dec.	Protein-ligand docking	Xiaoquin Zou	U of Misso	12/1
Nov.	Deep learning methods for protein-RNA interaction modeling	Yu Li	Chinese University of Hong Kong	11/16
Oct.	Free energy calculation in drug discovery	Frank Pickard	Moderna	11/3
Sep.	Building and validating biomolecular structure models for cryo-EM maps using deep learning	Daisuke Kihara	Purdue Univ.	9/22
Aug.	The interpretability of protein language models for protein structure prediction and design	Sergey Ovchinnikov	Havard Univ.	8/16
Jul.	Skip due to KIDDS summer workshop
Jun.	Protein design for epitope-specific molecular recognition	Possu Huang	Stanford Univ.	6/16
May	Mega-scale experimental analysis of protein folding stability in biology and protein design	Kotaro Tsuboyama	Tokyo Univ.	5/26
Apr.	Computational structural biology in the era of deep learning	John Moult	Univ. Maryland	4/21
Mar.	General approach to design of miniprotein binders to arbitrary protein targets	Longxing Cao	Westlake Institute	3/31
Feb.	Skip due to KIDDS winter workshop
Jan.	Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models	Joseph Watson & David Juergens	Univ. Washington	1/27