A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
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Updated
Oct 30, 2023 - Jupyter Notebook
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
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
An ultra-high-performance protein-protein docking for heterogeneous supercomputers
Code for ICLR 2024 (Spotlight) paper "MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding"
Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.
This repository has been integrated in https://github.com/DeepRank/deeprank2
[ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding
Webpage of the Bonvinlab @ Utrecht University and HADDOCK software
Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
Contact map analysis for biomolecules; based on MDTraj
Cancer-dedicated gene set interpretation
Methods for mapping genomic data onto 3D protein structure.
Partner specific prediction of protein binding sites
Rosetta FunFolDes – a general framework for the computational design of functional proteins.
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Rosetta FunFolDes – a general framework for the computational design of functional proteins.
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