Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/108366
DC Field | Value | Language |
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dc.contributor.author | Moreira, Irina S. | - |
dc.contributor.author | Koukos, Panagiotis I. | - |
dc.contributor.author | Melo, Rita | - |
dc.contributor.author | Almeida, José G. | - |
dc.contributor.author | Preto, Antonio J. | - |
dc.contributor.author | Schaarschmidt, Joerg | - |
dc.contributor.author | Trellet, Mikael | - |
dc.contributor.author | Gümüş, Zeynep H | - |
dc.contributor.author | Costa, Joaquim | - |
dc.contributor.author | Bonvin, Alexandre M. J. J. | - |
dc.date.accessioned | 2023-08-25T13:15:47Z | - |
dc.date.available | 2023-08-25T13:15:47Z | - |
dc.date.issued | 2017-08-14 | - |
dc.identifier.issn | 2045-2322 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/108366 | - |
dc.description.abstract | 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/ . | pt |
dc.language.iso | eng | pt |
dc.relation | Irina S. Moreira acknowledges support by the Fundação para a Ciência e a Tecnologia (FCT) Investigator programme - IF/00578/2014 (co-financed by European Social Fund and Programa Operacional Potencial Humano), and a Marie Skłodowska-Curie Individual Fellowship MSCA-IF-2015 [MEMBRANEPROT 659826]. This work was also financed by the European Regional Development Fund (ERDF), through the Centro 2020 Regional Operational Programme under project CENTRO-01-0145-FEDER-000008: BrainHealth 2020, and through the COMPETE 2020 - Operational Programme for Competitiveness and Internationalisation and Portuguese national funds via FCT, under project POCI-01-0145-FEDER-007440. Rita Melo acknowledges support from the FCT (FCT—SFRH/BPD/97650/2013). Jörg Schaarschmidt acknowledges support from the European H2020 e-Infrastructure grant West-Life grant no. 675858. Mikael Trellet acknowledges support from the European H2020 e-Infrastructure grants West-Life grant no. 675858 and BioExcel grant no. 675728. Panagiotis Koukos and Alexandre Bonvin acknowledge financial support from the Dutch Foundation for Scientific Research (NWO) (TOP-PUNT grant 718.015.001). Zeynep H. Gümüş acknowledges financial support from start-up funds at Icahn School of Medicine at Mount Sinai. | pt |
dc.rights | openAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt |
dc.subject.mesh | Animals | pt |
dc.subject.mesh | Binding Sites | pt |
dc.subject.mesh | Humans | pt |
dc.subject.mesh | Machine Learning | pt |
dc.subject.mesh | Protein Binding | pt |
dc.subject.mesh | Protein Interaction Mapping | pt |
dc.subject.mesh | Sequence Analysis, Protein | pt |
dc.subject.mesh | Software | pt |
dc.title | SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots | pt |
dc.type | article | - |
degois.publication.firstPage | 8007 | pt |
degois.publication.issue | 1 | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.1038/s41598-017-08321-2 | pt |
degois.publication.volume | 7 | pt |
dc.date.embargo | 2017-08-14 | * |
uc.date.periodoEmbargo | 0 | pt |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | open | - |
item.openairetype | article | - |
item.languageiso639-1 | en | - |
item.fulltext | Com Texto completo | - |
item.cerifentitytype | Publications | - |
crisitem.author.researchunit | CNC - Center for Neuroscience and Cell Biology | - |
crisitem.author.orcid | 0000-0003-2970-5250 | - |
crisitem.author.orcid | 0000-0003-4203-2230 | - |
Appears in Collections: | I&D CNC - Artigos em Revistas Internacionais |
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File | Description | Size | Format | |
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SpotOn-High-Accuracy-Identification-of-ProteinProtein-Interface-HotSpotsScientific-Reports.pdf | 2.62 MB | Adobe PDF | View/Open |
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