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)
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
A IOT-Server,The tree root supports devices and data management, and the upper tree supports to combine various business functions by message flow
Graph regularized nonnegative matrix factorization (GNMF) in Python
Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop
Exploring the conformational ensembles of protein-protein complexes with transformer-based generative neural networks
Code associated with the paper 'Cracking the blackbox of deep sequence-based protein-protein interaction prediction'
De novo molecular design with deep molecular generative models for protein-protein interaction(PPI) inhibitors
Make implicit Perl imports explicit
Mobile based PPI survey tool powered by Google's on device machine learning SDK, MLKit.
polarPcolor draws a pseudocolor plot in polar coordinates with a polar grid.
all-paths graph kernel for protein-protein interaction extraction
Benchmarking Node2vec and DeepWalk for course on Graph Neural Networks
Official implementation of PPI Relation Extraction (IEEE BigData 2022)
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