A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
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Updated
Jun 10, 2024 - Jupyter Notebook
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
Code for ICLR 2024 (Spotlight) paper "MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding"
Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
This repository has been integrated in https://github.com/DeepRank/deeprank2
[ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
Dataset and package for working with protein-protein interactions in 3D
Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.
Structural Bioinformatics Training Workshop & Hackathon 2018
Explore the cancer relevance of your gene list
An ultra-high-performance protein-protein docking for heterogeneous supercomputers
SaprotHub: Making Protein Modeling Accessible to All Biologists
Contact map analysis for biomolecules; based on MDTraj
Code for Pre-training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction (https://arxiv.org/abs/2301.12068)
Code for ICML 2024 paper "Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning"
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model (NeurIPS 2023 Poster)
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