Metaheuristics for multiple sequence alignment: A systematic review

In silico Identification and Characterization of Molecules with Antimicrobial Activity in Legumes from the Northeastern Semiarid Region subjected to stress

“…Sequence alignment is a fundamental task in bioinformatics, as it is used in several important biological analyses, such as predicting the function and structure of unknown proteins, to identify regions of similarity that may be a consequence of functional, structural or evolutionary relationships between sequences (Amorim, A. R. et al, 2021). It can be seen from Table 2 that these peptides share the conserved 6-cysteine domain as well as the conserved three-dimensional structure, which consists of an α-helix and three antiparallel β-strands.…”

Solving multiple sequence alignment problems by using a swarm intelligent optimization based approach

“…For every particle, we find the particle in the similar manner. (9,1,5,3,4). The calculate the pbest values as pbest1=(8, 4, 2, 1,1), pbest2= (6,2,4,3,8), pbest3= (5,3,7,0,2), pbest4= (2,2,8,0,4), and pbest5= (6,1,8,2,2).…”

“…(9,1,5,3,4). The calculate the pbest values as pbest1=(8, 4, 2, 1,1), pbest2= (6,2,4,3,8), pbest3= (5,3,7,0,2), pbest4= (2,2,8,0,4), and pbest5= (6,1,8,2,2). Later, find the fitness value of each particle by using (3) suppose after calculating the fitness value for five particles the values like Fit (P1)=13, similarly 19, 18, 7, 15,13, and 19 for respective particle fitness values.…”

“…However, 4 is the updated position, then every particle in each dimension gets updated in the similar manner. Hence, we will get new particles like P1=(4, 0, 3, 0, 2), P2=(4, 2, 4, 1, 2), P3=(2, 4, 0, 1, 2), P4= (3,6,0,1,4), and P5= (1,5,0,1,4). Also, fitness value for new particles can be foundFit (P1)=44, Fit (P2)=5, Fit (P3)=12, Fit (P4)=30, and Fit (P5)=10.…”

“…MSA helps in finding the phylogenetic distance for a particular sequence. In computational biology, the main task is to predict the order of the structure of a given molecule [1], [2] and also MSA makes it more useful to find the structure. In computational biology, the MSA will be useful for solving a variety of tasks.…”