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
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.
A tool for calculating PPI network rewiring due to alternative splicing
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).
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