New distance measure for comparing protein using cellular automata image

被引：0

作者：

Souza, Luryane F. ^{[1
,2
]}

Pereira, Hernane B. de B. ^{[2
,3
]}

da Rocha Filho, Tarcisio M. ^{[4
]}

Machado, Bruna A. S. ^{[2
]}

Moret, Marcelo A. ^{[2
,5
]}

机构：

[1] Univ Fed Oeste Bahia, Ctr Ciencias Exatas & Tecnol, Barreiras, BA, Brazil

[2] SENAI CIMATEC, Programa Modelagem Computac & Tecnol Ind, Salvador, BA, Brazil

[3] Univ Estado Bahia, DEDC, Salvador, BA, Brazil

[4] Univ Brasilia, Inst Fis, Brasilia, DF, Brazil

[5] Univ Estado Bahia, DCET, Salvador, BA, Brazil

来源：

PLOS ONE | 2023年 / 18卷 / 10期

关键词：

TRANSFERRIN; REPRESENTATION; EVOLUTION;

D O I：

10.1371/journal.pone.0287880

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

One of the first steps in protein sequence analysis is comparing sequences to look for similarities. We propose an information theoretical distance to compare cellular automata representing protein sequences, and determine similarities. Our approach relies in a stationary Hamming distance for the evolution of the automata according to a properly chosen rule, and to build a pairwise similarity matrix and determine common ancestors among different species in a simpler and less computationally demanding computer codes when compared to other methods.

引用

页数：14

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