An Improved Chemical Reaction-Based Approach for Multiple Sequence Alignment

In bioinformatics, multiple sequence alignment (MSA) is an NP-hard problem. Nature-inspired approaches can provide an approximate solution compared to conventional approaches. In this article, the MSA problem is dealt with using chemical reaction optimization (CRO). The limitations of CRO are slow convergence and low population diversity. Therefore, the initialization process is improved by pairwise alignment technique which maintains diversity. In the performance analysis, we have taken benchmark datasets from Bali base version 2.0. The Bali score of the proposed approach is compared with those of the existing approaches such as SB-PIMA, SAGA, RBT-GA and GAPAM, HMMT. Simulation results confirm the superiority of the proposed approach over others.