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A comparative study on the alignment quality of multiple protein sequences
Published in Pharmainfo Publications
2015
Volume: 7
   
Issue: 6
Pages: 314 - 318
Abstract
Aim: The objective of this study is to infer into the protein sequences in order to solve the multiple sequence alignment problem of protein sequences using genetic algorithm optimizing technique. Methods: In this work, a genetic algorithm based approach has been presented and used accordingly. Different genetic operators along with a fitness function is proposed so as to obtain a optimal quality solutions for protein sequences. Results & Discussions: Results based on various parameters have been recorded and analyzed over a set of clusters orthologous groups of proteins and were compared with the results obtained with other alignment algorithms, e.g. Clustal W and Central Star algorithms. The obtained results show the superiority of the proposed technique as it achieves betters solution in terms of scores, when compared with the methods mention above. © 2015, Pharmainfo Publications. All rights reserved.
About the journal
JournalJournal of Pharmaceutical Sciences and Research
PublisherPharmainfo Publications
ISSN09751459