COMPUTATIONAL ANALYSIS OF SIMILAR REPEAT PATTERNS AND THEIR SECONDARY STRUCTURE VARIATION
- Division of Applied Sciences, Indian Institute of Information Technology, Allahabad-211012, India.
- Department of Biotechnology, Sri Guru Granth Sahib World University, Fatehgarh Sahib-140406, Punjab, India.
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Abstract
Repeats in proteins are represented by repetitive occurrence of amino acids as short sub-sequences. Protein sequences from PROTEIN DATA BANK database were analyzed for the occurrence of similar repeats. Similar repeats of varying length were identified using an algorithm. Analyzing the secondary structure of similar repeats, it appears that similar repeats attain different secondary structures. We also probe the mutation rate of amino acids, to identify those amino acids that have maximum probability of being replaced by another amino acid or amino acids that are most conserved during the course of evolution in similar repeats. Understanding these repeats may shed light on the underlying structural dynamics of repeats.
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How to Cite This Article
Shikha Suman, Anurag Kulshrestha, Ravinder Singh and Ashutosh Mishra (2015); COMPUTATIONAL ANALYSIS OF SIMILAR REPEAT PATTERNS AND THEIR SECONDARY STRUCTURE VARIATION, Int. J. of Adv. Res., 3 (09), 1186-1193, ISSN 2320-5407.
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