all-paths graph kernel for protein-protein interaction extraction
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Updated
Apr 22, 2014 - Python
all-paths graph kernel for protein-protein interaction extraction
MSM model of SH2-phosphoprotein cancer networks
InteractoMIX: a suite of computational tools to exploit interactomes in biological and clinical research.
Pipeline to create and analyze protein-protein interaction networks.
Use circular permutation approach to solve and visualize chiral assemblies of collagen trimers (DRAFT)
Inferring novel protein-protein interactions with deep learning. Data analysis project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.
An automated method to map yeast variants to proteins modifications and functional regions
A representation learning method for predicting protein-protein interactions
Reads protein functional associations (e.g. from STRING-DB) and finds direct (0-hops) or indirect (1,2-hops) protein-links between a pair of proteins (C/C++).This work was done while working at the Institute of Cancer Research in London in association with people from the Erler Lab.
Post-acquisition targeted search (PATS) by Yu (Tom) Gao @ Yates Lab
An end-to-end system for extracting protein-protein interactions affected by a genetic mutation.
defines the interface region of a protein complex making possible to calculate the i_rmsd between native and predicted structures following the CAPRI criteria
CSBB - Computational Suite For Bioinformaticians and Biologists
A machine learning tool to assign edges in protein-protein interaction networks with a function.
Protein-protein interaction network analysis
CaMELS: In silico prediction of calmodulin binding proteins and their binding sites
SVM with Learning Using Privileged Information (LUPI) framework
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