Finding identical sequence repeats in multiple protein sequences: An algorithm
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Date
2024-02
Journal Title
Journal ISSN
Volume Title
Publisher
The Indian Academy of Sciences
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.
Description
Keywords
Repeat identification, pattern searching algorithm, protein sequences, computer programs, evolutionary conservation, domain region
Citation
MAURYA 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: 1-11