SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots
SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots
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London: Nature Publishing Group UK
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English
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Publisher
London: Nature Publishing Group UK
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We present SpotOn, a web server to identify and classify interfacial residues as Hot-Spots (HS) and Null-Spots (NS). SpotON implements a robust algorithm with a demonstrated accuracy of 0.95 and sensitivity of 0.98 on an independent test set. The predictor was developed using an ensemble machine learning approach with up-sampling of the minor class. It was trained on 53 complexes using various features, based on both protein 3D structure and sequence. The SpotOn web interface is freely available at:
http://milou.science.uu.nl/services/SPOTON/
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SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots
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TN_cdi_doaj_primary_oai_doaj_org_article_bcfd8d40f8554bfebb790c4ceb05f28f
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bcfd8d40f8554bfebb790c4ceb05f28f
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-017-08321-2
