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Workshop
Integrating Protein Structure Prediction and Bayesian Optimization for Peptide Design
Negin Manshour · Fei He · Duolin Wang · Dong Xu
Workshop
Conditioned Protein Structure Prediction
Tengyu Xie · Zilin Song · Jing Huang
Workshop
Scalable Multimer Structure Prediction using Diffusion Models
Peter Pao-Huang · Bowen Jing · Bonnie Berger
Workshop
GraphPrint: Extracting Features from 3D Protein Structure for Drug Target Affinity Prediction
Amritpal Singh
Workshop
Parameter-Efficient Fine Tuning of Protein Language Models Improves Prediction of Protein-Protein Interactions
Samuel Sledzieski · Meghana Kshirsagar · Rahul Dodhia · Bonnie Berger · Juan Lavista Ferres
Workshop
Pair-EGRET: Enhancing the prediction of protein-protein interaction sites through graph attention networks and protein language models
Ramisa Alam · Sazan Mahbub · Md. Shamsuzzoha Bayzid
Workshop
DSMBind: an unsupervised generative modeling framework for binding energy prediction
Wengong Jin · Caroline Uhler · Nir HaCohen
Poster
Tue 8:45 Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model
Shiwei Liu · Tian Zhu · Milong Ren · Chungong Yu · Dongbo Bu · Haicang Zhang
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
TriFold: A New Architecture for Predicting Protein Sequences from Structural Data
Harish Srinivasan · Jian Zhou
Workshop
DiffDock-Site: A Novel Paradigm for Enhanced Protein-Ligand Predictions through Binding Site Identification
Huanlei Guo · Song LIU · Mingdi HU · Yilun Lou · Bingyi Jing
Workshop
DiffDock-Site: A Novel Paradigm for Enhanced Protein-Ligand Predictions through Binding Site Identification
Huanlei Guo · Song LIU · Mingdi HU · Yilun Lou · Bingyi Jing