|
Poster
|
|
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
Wei Lu · Qifeng Wu · Jixian Zhang · Jiahua Rao · Chengtao Li · Shuangjia Zheng
|
|
|
Poster
|
|
[Re] Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
Urša Zrimšek
|
|
|
Workshop
|
|
A Federated Learning benchmark for Drug-Target Interaction
Filip Svoboda · Gianluca Mittone · Nicholas Lane · Pietro Lió
|
|
|
Workshop
|
|
Deep Local Analysis estimates effects of mutations on protein-protein interactions
Yasser Mohseni Behbahani · Elodie Laine · Alessandra Carbone
|
|
|
Workshop
|
|
ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions
Matan Halfon · Dina Schneidman · Tomer Cohen · raanan fattal
|
|
|
Affinity Workshop
|
|
Task-conditioned modelling of drug-target interactions
Emma Svensson · Pieter-Jan Hoedt · Sepp Hochreiter · Günter Klambauer
|
|
|
Poster
|
Tue 14:00
|
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
Arian Jamasb · Ramon Viñas Torné · Eric Ma · Yuanqi Du · Charles Harris · Kexin Huang · Dominic Hall · Pietro Lió · Tom Blundell
|
|
|
Workshop
|
|
Robust task-specific adaption of models for drug-target interaction prediction
Emma Svensson · Pieter-Jan Hoedt · Sepp Hochreiter · Günter Klambauer
|
|
|
Workshop
|
|
Predicting Drug-Drug Interactions using Deep Generative Models on Graphs
Khang Ngo · Truong Son Hy · Risi Kondor
|
|
