{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T12:48:45Z","timestamp":1767962925353,"version":"3.49.0"},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,5,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: ELASPIC is a novel ensemble machine-learning approach that predicts the effects of mutations on protein folding and protein\u2013protein interactions. Here, we present the ELASPIC webserver, which makes the ELASPIC pipeline available through a fast and intuitive interface. The webserver can be used to evaluate the effect of mutations on any protein in the Uniprot database, and allows all predicted results, including modeled wild-type and mutated structures, to be managed and viewed online and downloaded if needed. It is backed by a database which contains improved structural domain definitions, and a list of curated domain\u2013domain interactions for all known proteins, as well as homology models of domains and domain\u2013domain interactions for the human proteome. Homology models for proteins of other organisms are calculated on the fly, and mutations are evaluated within minutes once the homology model is available.<\/jats:p>\n               <jats:p>Availability and implementation: The ELASPIC webserver is available online at http:\/\/elaspic.kimlab.org.<\/jats:p>\n               <jats:p>Contact: \u00a0pm.kim@utoronto.ca or pi@kimlab.org<\/jats:p>\n               <jats:p>Supplementary data: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btw031","type":"journal-article","created":{"date-parts":[[2016,2,15]],"date-time":"2016-02-15T01:09:07Z","timestamp":1455498547000},"page":"1589-1591","source":"Crossref","is-referenced-by-count":75,"title":["ELASPIC web-server: proteome-wide structure-based prediction of mutation effects on protein stability and binding affinity"],"prefix":"10.1093","volume":"32","author":[{"given":"Daniel K.","family":"Witvliet","sequence":"first","affiliation":[{"name":"1 Donnelly Center for Cellular and Biomolecular Research, University of Toronto,"},{"name":"2 Department of Molecular Genetics, University of Toronto,"}]},{"given":"Alexey","family":"Strokach","sequence":"additional","affiliation":[{"name":"1 Donnelly Center for Cellular and Biomolecular Research, University of Toronto,"},{"name":"3 Department of Computer Science, University of Toronto, Toronto, ON, Canada and"}]},{"given":"Andr\u00e9s Felipe","family":"Giraldo-Forero","sequence":"additional","affiliation":[{"name":"4 Department of Electrical and Electronic Engineering, Universidad Nacional De Colombia, Manizales, Colombia"}]},{"given":"Joan","family":"Teyra","sequence":"additional","affiliation":[{"name":"1 Donnelly Center for Cellular and Biomolecular Research, University of Toronto,"}]},{"given":"Recep","family":"Colak","sequence":"additional","affiliation":[{"name":"1 Donnelly Center for Cellular and Biomolecular Research, University of Toronto,"},{"name":"3 Department of Computer Science, University of Toronto, Toronto, ON, Canada and"}]},{"given":"Philip M.","family":"Kim","sequence":"additional","affiliation":[{"name":"1 Donnelly Center for Cellular and Biomolecular Research, University of Toronto,"},{"name":"2 Department of Molecular Genetics, University of Toronto,"},{"name":"3 Department of Computer Science, University of Toronto, Toronto, ON, Canada and"}]}],"member":"286","published-online":{"date-parts":[[2016,1,21]]},"reference":[{"key":"2023020112265160300_btw031-B1","doi-asserted-by":"crossref","first-page":"e107353","DOI":"10.1371\/journal.pone.0107353","article-title":"Combining structural modeling with ensemble machine learning to accurately predict protein fold stability and binding affinity effects upon mutation","volume":"9","author":"Berliner","year":"2014","journal-title":"PLoS One"},{"key":"2023020112265160300_btw031-B2","doi-asserted-by":"crossref","first-page":"402","DOI":"10.1128\/MCB.20.1.402-415.2000","article-title":"Redox-regulated recruitment of the transcriptional coactivators CREB-binding protein and SRC-1 to hypoxia-inducible factor 1\u03b1","volume":"20","author":"Carrero","year":"2000","journal-title":"Mol. Cell. Biol"},{"key":"2023020112265160300_btw031-B3","doi-asserted-by":"crossref","first-page":"D935","DOI":"10.1093\/nar\/gkr996","article-title":"SNPeffect 4.0: on-line prediction of molecular and structural effects of protein-coding variants","volume":"40","author":"De Baets","year":"2012","journal-title":"Nucleic Acids Res"},{"key":"2023020112265160300_btw031-B4","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1186\/1471-2105-12-151","article-title":"PoPMuSiC 2.1: a web server for the estimation of protein stability changes upon mutation and sequence optimality","volume":"12","author":"Dehouck","year":"2011","journal-title":"BMC Bioinformatics"},{"key":"2023020112265160300_btw031-B5","doi-asserted-by":"crossref","first-page":"W333","DOI":"10.1093\/nar\/gkt450","article-title":"BeAtMuSiC: prediction of changes in protein-protein binding affinity on mutations","volume":"41","author":"Dehouck","year":"2013","journal-title":"Nucleic Acids Res"},{"key":"2023020112265160300_btw031-B6","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1038\/bjc.2011.73","article-title":"Factor inhibiting HIF (FIH-1) promotes renal cancer cell survival by protecting cells from HIF-1\u03b1-mediated apoptosis","volume":"104","author":"Khan","year":"2011","journal-title":"Br. J. Cancer"},{"key":"2023020112265160300_btw031-B7","doi-asserted-by":"crossref","first-page":"D465","DOI":"10.1093\/nar\/gkr1181","article-title":"Gene3D: a domain-based resource for comparative genomics, functional annotation and protein network analysis","volume":"40","author":"Lees","year":"2012","journal-title":"Nucleic Acids Res"},{"key":"2023020112265160300_btw031-B8","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1038\/nmeth.3289","article-title":"dSysMap: exploring the edgetic role of disease mutations","volume":"12","author":"Mosca","year":"2015","journal-title":"Nat. Methods"},{"key":"2023020112265160300_btw031-B9","doi-asserted-by":"crossref","first-page":"1516","DOI":"10.1126\/science.273.5281.1516","article-title":"The future of genetic studies of complex human diseases","volume":"273","author":"Risch","year":"1996","journal-title":"Science"},{"key":"2023020112265160300_btw031-B10","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1186\/1471-2105-11-370","article-title":"Predicting changes in protein thermostability brought about by single-or multi-site mutations","volume":"11","author":"Tian","year":"2010","journal-title":"BMC Bioinformatics"},{"key":"2023020112265160300_btw031-B11","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1186\/1471-2105-11-548","article-title":"Protein structure analysis of mutations causing inheritable diseases. An e-science approach with life scientist friendly interfaces","volume":"11","author":"Venselaar","year":"2010","journal-title":"BMC Bioinformatics"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/32\/10\/1589\/49019463\/bioinformatics_32_10_1589.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/32\/10\/1589\/49019463\/bioinformatics_32_10_1589.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T22:30:40Z","timestamp":1675290640000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/32\/10\/1589\/1743335"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,1,21]]},"references-count":11,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2016,5,15]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btw031","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2016,5,15]]},"published":{"date-parts":[[2016,1,21]]}}}