Comparison of Tumor and Normal Cells Protein-Protein Interaction Network Parameters
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Updated
Mar 24, 2020 - R
Comparison of Tumor and Normal Cells Protein-Protein Interaction Network Parameters
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
Official implementation of article "Including explicitly treated interfacial water molecules improved the free energy calculation for the binding of SARS-CoV-2 spike RBD and antibodies".
Sequence based PPI prediction algorithm is developed using Xgboost. Around 73,000 positive and negative interacting protein pairs were extracted from Pan’s PPI dataset
WeSA (Weighted SocioAffinity): a tool for improving affinity proteomics data.
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
Code for ICML 2024 paper "Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning"
Working with biological data in flutter.
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 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
InteractoMIX: a suite of computational tools to exploit interactomes in biological and clinical research.
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