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Workshop
TrustAffinity: accurate, reliable and scalable out-of-distribution protein-ligand binding affinity prediction using trustworthy deep learning
Amitesh Badkul · Li Xie · Shuo Zhang · Lei Xie
Workshop
DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model
Wei Lu · Jixian Zhang · Huang Weifeng · Ziqiao Zhang · Chengtao Li · Shuangjia Zheng
Workshop
Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure
Ian Dunn · David Koes
Workshop
Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
Workshop
De Novo Drug Design with Joint Transformers
Adam Izdebski · Ewelina Weglarz-Tomczak · Ewa Szczurek · Jakub Tomczak
Workshop
PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
Rakesh Bal · Yijia Xiao · Wei Wang
Workshop
SALSA: Semantically-Aware Latent Space Autoencoder
Kathryn E. Kirchoff · Travis Maxfield · Alexander Tropsha · Shawn Gomez
Workshop
DiffDock-Pocket: Diffusion for Pocket-Level Docking with Sidechain Flexibility
Michael Plainer · Marcella Toth · Simon Dobers · Hannes Stärk · Gabriele Corso · Céline Marquet · Regina Barzilay
Workshop
RetroBridge: Modeling Retrosynthesis with Markov Bridges
Ilia Igashov · Arne Schneuing · Marwin Segler · Michael Bronstein · Bruno Correia
Workshop
Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning
Youhan Lee · Hasun Yu · Jaemyung Lee · Jaehoon Kim
Workshop
Towards a more inductive world for drug repurposing approaches
Jesus de la Fuente Cedeño · Guillermo Serrano · Uxia Veleiro · Mikel Casals · Laura Vera · Marija Pizurica · Antonio Pineda-Lucena · Idoia Ochoa · Silve Vicent · Olivier Gevaert · Mikel Hernaez
Workshop
DGFN: Double Generative Flow Networks
Elaine Lau · Nikhil Murali Vemgal · Doina Precup · Emmanuel Bengio