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.
Post-acquisition targeted search (PATS) by Yu (Tom) Gao @ Yates Lab
Jupyter notebooks for BFG-PCA related simulation and analysis.
This code was written and used to perform the comparative interactome analysis of β-arrestin1 and 2.
A python solution towards classifying different protein-protein interactions among Protein Sequences.
Scipion framework plugin for the use of tools provided in the Rosetta software suite. Currently it has protocols for the use of the Rosetta DARC docking software
Cluster protein segment using precomputed distance matrix
Tools for processing and analysing PPI datasets
A tool to predict protein functions (Gene Ontology) via protein-protein and ontology networks
Incorporating Triplet Error for Predicting PPIs using Deep Learning
Exploring protein language models and machine learning algorithms for protein interactions predictive models
interpro to graphs for analyzing domains.
A method designed for proteome-scale sequence-based evaluation of protein-protein interfaces as defined by structural models of protein-protein interaction complexes.
Code to accompany the paper: ”ProteinNetworkSight efficiently transforms co-expressed protein lists into interactive networks and offers suggestions for their modifications”
Website to explore predicted planarian protein-protein interactions.
CaMELS: In silico prediction of calmodulin binding proteins and their binding sites
Analysis of 1D and 2D NMR titration experiments.
Prioritization with a Warped Network
Inferring hot spot residues on protein-protein interfaces by solvent occlusion
User Interface for PisaPy
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