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Metaheuristics for multiple sequence alignment: A systematic review.
Amorim, Anderson Rici; Zafalon, Geraldo Francisco Donegá; Contessoto, Allan de Godoi; Valêncio, Carlos Roberto; Sato, Liria Matsumoto.
Afiliação
  • Amorim AR; Department of Computer and Digital Systems Engineering, Universidade de São Paulo (USP) - Escola Politécnica, Av. Prof. Luciano Gualberto, Travessa 3, 158, Butantã, São Paulo, SP 05508-010, Brazil.
  • Zafalon GFD; Department of Computer Science and Statistics, Universidade Estadual Paulista (UNESP), Rua Cristóvão Colombo, 2265, Jardim Nazareth, São José do Rio Preto, SP 15054-000, Brazil; Universidade Paulista - ICET - Campus de São José do Rio Preto, Av. Presidente Juscelino Kubitschek de Oliveira, s/n, Jard
  • Contessoto AG; Department of Computer and Digital Systems Engineering, Universidade de São Paulo (USP) - Escola Politécnica, Av. Prof. Luciano Gualberto, Travessa 3, 158, Butantã, São Paulo, SP 05508-010, Brazil.
  • Valêncio CR; Department of Computer Science and Statistics, Universidade Estadual Paulista (UNESP), Rua Cristóvão Colombo, 2265, Jardim Nazareth, São José do Rio Preto, SP 15054-000, Brazil.
  • Sato LM; Department of Computer and Digital Systems Engineering, Universidade de São Paulo (USP) - Escola Politécnica, Av. Prof. Luciano Gualberto, Travessa 3, 158, Butantã, São Paulo, SP 05508-010, Brazil.
Comput Biol Chem ; 94: 107563, 2021 Oct.
Article em En | MEDLINE | ID: mdl-34425495
The Multiple Sequence Alignment (MSA) is a key task in bioinformatics, because it is used in different important biological analysis, such as function and structure prediction of unknown proteins. There are several approaches to perform MSA and the use of metaheuristics stands out because of the search ability of these methods, which generally leads to good results in a reasonable amount of time. This paper presents a Systematic Literature Review (SLR) on metaheuristics for MSA, compiling relevant works published between 2014 and 2019. The results of our SLR show the constant interest in this subject, due to the several recent publications that use different metaheuristics to obtain more accurate alignments. Moreover, the final results of our SLR show a multi-objective and hybrid approaches trends, which generally leads these methods to achieve even better results. Thus, we show in this work how the use of metaheuristics to perform MSA still remains an important and promising open research field.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Biologia Computacional Tipo de estudo: Systematic_reviews Idioma: En Revista: Comput Biol Chem Assunto da revista: BIOLOGIA / INFORMATICA MEDICA / QUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Biologia Computacional Tipo de estudo: Systematic_reviews Idioma: En Revista: Comput Biol Chem Assunto da revista: BIOLOGIA / INFORMATICA MEDICA / QUIMICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido