A Graph Convolutional Network-based solution for PHI prediction.
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Updated
Sep 21, 2022 - Python
A Graph Convolutional Network-based solution for PHI prediction.
Prediction of protein-protein interaction between anti-crispr protein (acr) and CRISPR-associated (cas) protein using machine learning algorithm
Fast AlphaFold-Multimer based pipeline for Protein-Protein Interaction (PPI) screening
Code for ICML 2024 paper "Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning"
Post-acquisition targeted search (PATS) by Yu (Tom) Gao @ Yates Lab
CaMELS: In silico prediction of calmodulin binding proteins and their binding sites
Jupyter notebooks for BFG-PCA related simulation and analysis.
Multiple experiment to determine how to best use the MSA Transformer for the task of protein protein interaction prediction.
Protein-protein interaction network (with orthology) querying library
This code was written and used to perform the comparative interactome analysis of β-arrestin1 and 2.
Investigating Protein Interaction Networks with Python Visualizations
Measuring gene pleiotropy through Gene Ontologies and Protein Interactions
Prioritization with a Warped Network
A python solution towards classifying different protein-protein interactions among Protein Sequences.
Inferring hot spot residues on protein-protein interfaces by solvent occlusion
Code for using EVcomplex to generate "interaction scores" for individual sequences in a multiple sequence alignment.
Protein-protein bindings prediction using ML
Comprehensive human PPI network and TF network
Pipeline allowing parallel computation of protein interface mutation Gibbs Free Energy changes.
This package provides an basic implementation of the contact prediction network used in AlphaFold 1 for beginner, associated model weights and CASP13 dataset as used for CASP13 (2018) and published in Nature
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