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dc.creatorPerović, Vladimir R.
dc.creatorLeclercq, Jeremy Y
dc.creatorŠumonja, Neven
dc.creatorRichard, Francois D
dc.creatorVeljković, Nevena V.
dc.creatorKajava, Andrey V.
dc.date.accessioned2021-03-02T09:14:09Z
dc.date.available2021-03-02T09:14:09Z
dc.date.issued2020
dc.identifier.issn1367-4803
dc.identifier.urihttps://vinar.vin.bg.ac.rs/handle/123456789/8997
dc.description.abstractMotivation: Proteins containing tandem repeats (TRs) are abundant, frequently fold in elongated non-globular structures and perform vital functions. A number of computational tools have been developed to detect TRs in protein sequences. A blurred boundary between imperfect TR motifs and non-repetitive sequences gave rise to necessity to validate the detected TRs. Results: Tally-2.0 is a scoring tool based on a machine learning (ML) approach, which allows to validate the results of TR detection. It was upgraded by using improved training datasets and additional ML features. Tally-2.0 performs at a level of 93% sensitivity, 83% specificity and an area under the receiver operating characteristic curve of 95%.en
dc.language.isoen
dc.relationH2020-MSCA-RISE project REFRACT [GA No. 823886]
dc.relationNational Institute of Allergy and Infectious Diseases [Research Grant 1R01AI12123701]
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/173001/RS//
dc.rightsrestrictedAccess
dc.sourceBioinformatics
dc.titleTally-2.0: upgraded validator of tandem repeat detection in protein sequencesen
dc.typearticleen
dc.rights.licenseARR
dcterms.abstractРицхард, Францоис Д; Лецлерцq, Јеремy Y; Шумоња, Невен; Вељковић, Невена В.; Кајава, Aндреy В.; Перовић, Владимир Р.;
dc.rights.holder© 2020 The Author(s). Published by Oxford University Press.
dc.citation.volume36
dc.citation.issue10
dc.citation.spage3260
dc.citation.epage3262
dc.identifier.wos000537447900045
dc.identifier.doi10.1093/bioinformatics/btaa121
dc.identifier.pmid32096820
dc.type.versionpublishedVersion
dc.identifier.scopus2-s2.0-85084695735


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