Finding identical sequence repeats in multiple protein sequences: An algorithm

Maurya, VK and Sanjeevi, M and Rahul, CN and Mohan, A and Ramachandran, D and Siddalingappa, R and Rauniyar, R and Kanagaraj, S (2024) Finding identical sequence repeats in multiple protein sequences: An algorithm. In: Journal of Biosciences, 49 (1).

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Abstract

In 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. © Indian Academy of Sciences 2024.

Item Type:	Journal Article
Publication:	Journal of Biosciences
Publisher:	Springer
Additional Information:	The copyright for this article belongs to the Springer.
Keywords:	algorithm; amino acid; database; protein; software, algorithm; amino acid repeat; Article; CRISPR Cas system; disease association; epitope mapping; intermethod comparison; internal sequence repeats across multiple protein sequence; molecular evolution; amino acid sequence; factual database, amino acid, Algorithms; Amino Acid Sequence; Amino Acids; Databases, Factual
Department/Centre:	Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited:	22 Apr 2024 11:16
Last Modified:	22 Apr 2024 11:16
URI:	https://eprints.iisc.ac.in/id/eprint/84657

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