A Graph Convolutional Network-based solution for PHI prediction.
-
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
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.
InteractoMIX: a suite of computational tools to exploit interactomes in biological and clinical research.
Predict protein complexes from high-throughput data
This repository contains codes for the regeneration of figures 3b and 3g in Tam, C., Kukimoto-Niino, M., Miyata-Yabuki, Y. et al. Targeting Ras-binding domain of ELMO1 by computational nanobody design. Commun Biol 6, 284 (2023).
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
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
Add a description, image, and links to the protein-protein-interaction topic page so that developers can more easily learn about it.
To associate your repository with the protein-protein-interaction topic, visit your repo's landing page and select "manage topics."