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• W2895146543 endingPage "2535" @default.
• W2895146543 startingPage "2535" @default.
• W2895146543 abstract "Hot spots are the subset of interface residues that account for most of the binding free energy, and they play essential roles in the stability of protein binding. Effectively identifying which specific interface residues of protein–protein complexes form the hot spots is critical for understanding the principles of protein interactions, and it has broad application prospects in protein design and drug development. Experimental methods like alanine scanning mutagenesis are labor-intensive and time-consuming. At present, the experimentally measured hot spots are very limited. Hence, the use of computational approaches to predicting hot spots is becoming increasingly important. Here, we describe the basic concepts and recent advances of machine learning applications in inferring the protein–protein interaction hot spots, and assess the performance of widely used features, machine learning algorithms, and existing state-of-the-art approaches. We also discuss the challenges and future directions in the prediction of hot spots." @default.
• W2895146543 created "2018-10-12" @default.
• W2895146543 creator A5005431252 @default.
• W2895146543 creator A5048351513 @default.
• W2895146543 creator A5085608332 @default.
• W2895146543 date "2018-10-04" @default.
• W2895146543 modified "2023-10-13" @default.
• W2895146543 title "Machine Learning Approaches for Protein–Protein Interaction Hot Spot Prediction: Progress and Comparative Assessment" @default.
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• W2895146543 cites W1989181256 @default.
• W2895146543 cites W1999390565 @default.
• W2895146543 cites W2002827932 @default.
• W2895146543 cites W2004360551 @default.
• W2895146543 cites W2014957977 @default.
• W2895146543 cites W2033893117 @default.
• W2895146543 cites W2039058965 @default.
• W2895146543 cites W2043338013 @default.
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• W2895146543 doi "https://doi.org/10.3390/molecules23102535" @default.
• W2895146543 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6222875" @default.
• W2895146543 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30287797" @default.
• W2895146543 hasPublicationYear "2018" @default.
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