


A Machine Learning tool called PPI_SVM was developed in 2011 to predict protein-protein interactions. This tool is based on ML, domain-domain affinities and frequency tables.
It was developed by Chatterjee P, Basu S, Kundu M et al (2011).


University of Illinois at Urbana-Champaign


Analyzing protein-protein interations (PPI) is an importannt part of drug development. Bayesian Network (BN) has been used to predict PPIs using gene co-expression, gene ontology and other biological processes. Machine and statisticlal learning approaches (KNN, Naive Bayes, SVM, etc.) have been used to predict hindrance in PPIs. 
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Prediction of protein-protein interactions through AI

Gupta, R., Srivastava, D., Sahu, M. et al. Artificial intelligence to deep learning: machine intelligence approach for drug discovery. Mol Divers (2021). https://doi.org/10.1007/s11030-021-10217-3

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