|
Poster
|
|
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
Wei Lu · Qifeng Wu · Jixian Zhang · Jiahua Rao · Chengtao Li · Shuangjia Zheng
|
|
|
Workshop
|
|
Protein-Protein Docking with Iterative Transformer
Lee-Shin Chu · Jeffrey Ruffolo · Jeffrey Gray
|
|
|
Workshop
|
|
ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions
Matan Halfon · Dina Schneidman · Tomer Cohen · raanan fattal
|
|
|
Workshop
|
|
Deep Local Analysis estimates effects of mutations on protein-protein interactions
Yasser Mohseni Behbahani · Elodie Laine · Alessandra Carbone
|
|
|
Workshop
|
|
Does Inter-Protein Contact Prediction Benefit from Multi-Modal Data and Auxiliary Tasks?
Arghamitra Talukder · Rujie Yin · Yang Shen · Yuning You
|
|
|
Workshop
|
Sat 9:00
|
Dynamic-backbone protein-ligand structure prediction with multiscale generative diffusion models
Zhuoran Qiao · Weili Nie · Arash Vahdat · Thomas Miller · Anima Anandkumar
|
|
|
Workshop
|
|
Dynamic-backbone protein-ligand structure prediction with multiscale generative diffusion models
Zhuoran Qiao · Weili Nie · Arash Vahdat · Thomas Miller · Anima Anandkumar
|
|
|
Poster
|
|
[Re] Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
Urša Zrimšek
|
|
|
Workshop
|
|
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso · Hannes Stärk · Bowen Jing · Regina Barzilay · Tommi Jaakkola
|
|
|
Workshop
|
Fri 11:40
|
A High-Throughput Platform for Efficient Exploration of Polypeptides Chemical Space via Automation and Machine Learning
Guangqi Wu · Connor Coley · Hua Lu
|
|
|
Workshop
|
|
Predicting Immune Escape with Pretrained Protein Language Model Embeddings
Kyle Swanson · Howard Chang · James Zou
|
|
|
Poster
|
|
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures
Shitong Luo · Yufeng Su · Xingang Peng · Sheng Wang · Jian Peng · Jianzhu Ma
|
|
