Finding identical sequence repeats in multiple protein sequences: An algorithm

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dc.contributor.authorMAURYA, VIKAS KUMARen_US
dc.contributor.authorSANJEEVI, MADHUMATHIen_US
dc.contributor.authorRAHUL, CHANDRASEKAR NARAYANANen_US
dc.contributor.authorMOHAN, AJITHAen_US
dc.contributor.authorRAMACHANDRAN, DHANALAKSHMIen_US
dc.contributor.authorSIDDALINGAPPA, RASHMIen_US
dc.contributor.authorRAUNIYAR, ROSHANen_US
dc.contributor.authorKANAGARAJ, SEKARen_US
dc.date.accessioned2024-11-30T11:24:41Z
dc.date.available2024-11-30T11:24:41Z
dc.date.issued2024-02
dc.description.abstractIn recent years, several experimental evidences suggest that amino acid repeats are closely linked to many disease conditions, as they have a significant role in evolution of disordered regions of the polypeptide segments. Even though many algorithms and databases were developed for such analysis, each algorithm has some caveats, like limitation on the number of amino acids within the repeat patterns and number of query protein sequences. To this end, in the present work, a new method called the internal sequence repeats across multiple protein sequences (ISRMPS) is proposed for the first time to identify identical repeats across multiple protein sequences. It also identifies distantly located repeat patterns in various protein sequences. Our method can be applied to study evolutionary relationships, epitope mapping, CRISPR-Cas sequencing methods, and other comparative analytical assessments of protein sequences.en_US
dc.identifier.affiliationsDepartment of Computational and Data Sciences, Indian Institute of Science, Bengaluru 560 012, Indiaen_US
dc.identifier.affiliationsDepartment of Computational and Data Sciences, Indian Institute of Science, Bengaluru 560 012, Indiaen_US
dc.identifier.affiliationsDepartment of Computational and Data Sciences, Indian Institute of Science, Bengaluru 560 012, Indiaen_US
dc.identifier.affiliationsDepartment of Computational and Data Sciences, Indian Institute of Science, Bengaluru 560 012, Indiaen_US
dc.identifier.affiliationsDepartment of Computational and Data Sciences, Indian Institute of Science, Bengaluru 560 012, Indiaen_US
dc.identifier.affiliationsDepartment of Computational and Data Sciences, Indian Institute of Science, Bengaluru 560 012, Indiaen_US
dc.identifier.affiliationsDepartment of Computational and Data Sciences, Indian Institute of Science, Bengaluru 560 012, Indiaen_US
dc.identifier.affiliationsDepartment of Computational and Data Sciences, Indian Institute of Science, Bengaluru 560 012, Indiaen_US
dc.identifier.citationMAURYA VIKAS KUMAR, SANJEEVI MADHUMATHI, RAHUL CHANDRASEKAR NARAYANAN, MOHAN AJITHA, RAMACHANDRAN DHANALAKSHMI, SIDDALINGAPPA RASHMI, RAUNIYAR ROSHAN, KANAGARAJ SEKAR. Finding identical sequence repeats in multiple protein sequences: An algorithm. Journal of Biosciences. 2024 Feb; 49: 1-11en_US
dc.identifier.issn0250-5991
dc.identifier.issn0973-7138
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/237960
dc.languageenen_US
dc.publisherThe Indian Academy of Sciencesen_US
dc.relation.volume49en_US
dc.source.urihttps://doi.org/10.1007/s12038-023-00410-xen_US
dc.subjectRepeat identificationen_US
dc.subjectpattern searching algorithmen_US
dc.subjectprotein sequencesen_US
dc.subjectcomputer programsen_US
dc.subjectevolutionary conservationen_US
dc.subjectdomain regionen_US
dc.titleFinding identical sequence repeats in multiple protein sequences: An algorithmen_US
dc.typeJournal Articleen_US
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