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A time series representation of protein sequences for similarity comparison.
Li, Cancan; Dai, Qi; He, Ping-An.
  • Li C; School of Science, Zhejiang Sci-Tech University, Hangzhou 310018, China.
  • Dai Q; College of Life Science, Zhejiang Sci-Tech University, Hangzhou 310018, China.
  • He PA; School of Science, Zhejiang Sci-Tech University, Hangzhou 310018, China. Electronic address: pinganhe@zstu.edu.cn.
J Theor Biol ; 538: 111039, 2022 04 07.
Article in English | MEDLINE | ID: covidwho-1654848
ABSTRACT
Based on the physicochemical indexes of 20 amino acids and the Hungarian algorithm, each amino acid was mapped into a vector. And, the protein sequence can be represented as time series in eleven-dimensional space. In addition, the DTW algorithm was applied to calculate the distance between two time series to compare the similarities of protein sequences. The validity and accuracy of this method was illustrated by similarity comparison of ND5 proteins of nine species. Furthermore, homology analysis of eleven ACE2 proteins, which included human, Malayan pangolin and six species of bats, confirmed that the human had shorter evolutionary distance from the pangolin than those bats. The phylogenetic tree of spike protein sequences of 36 coronaviruses, which were divided into five groups, Class I, Class II, Class III, SARS-CoVs and COVID-19, was constructed.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Chiroptera / COVID-19 Type of study: Experimental Studies / Randomized controlled trials Limits: Animals / Humans Language: English Journal: J Theor Biol Year: 2022 Document Type: Article Affiliation country: J.jtbi.2022.111039

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Chiroptera / COVID-19 Type of study: Experimental Studies / Randomized controlled trials Limits: Animals / Humans Language: English Journal: J Theor Biol Year: 2022 Document Type: Article Affiliation country: J.jtbi.2022.111039