Machine Learning Approaches for Protein–Protein Interaction Hot Spot Prediction: Progress and Compar...
Machine Learning Approaches for Protein–Protein Interaction Hot Spot Prediction: Progress and Comparative Assessment
About this item
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Author / Creator
Liu, Siyu , Liu, Chuyao and Deng, Lei
Publisher
Switzerland: MDPI
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI
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Scope and Contents
Contents
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...
Alternative Titles
Full title
Machine Learning Approaches for Protein–Protein Interaction Hot Spot Prediction: Progress and Comparative Assessment
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_fc22176993004e81b02d2a141ed35fe0
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fc22176993004e81b02d2a141ed35fe0
Other Identifiers
ISSN
1420-3049
E-ISSN
1420-3049
DOI
10.3390/molecules23102535
