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Classifying the superfamily of small heat shock proteins by using g-gap dipeptide compositions.
- Source :
-
International journal of biological macromolecules [Int J Biol Macromol] 2021 Jan 15; Vol. 167, pp. 1575-1578. Date of Electronic Publication: 2020 Nov 17. - Publication Year :
- 2021
-
Abstract
- Small heat shock protein (sHSP) is a superfamily of molecular chaperone and is found from archaea to human. Recent researches have demonstrated that sHSPs participate in a series of biological processes and are even closely associated with serious diseases. Since sHSP is a very large superfamily and members from different superfamilies exhibit distinct functions, accurate classification of the subfamily of sHSP will be helpful for unrevealing its functions. In the present work, a support vector machine-based method was proposed to classify the subfamily of sHSPs. In the 10-fold cross validation test, an overall accuracy of 93.25% was obtained for classifying the subfamily of sHSPs. The superiority of the proposed method was also demonstrated by comparing it with the other methods. It is anticipated that the proposed method will become a useful tool for classifying the subfamily of sHSPs.<br />Competing Interests: Declaration of competing interest The authors declare that there is no conflict of interest.<br /> (Copyright © 2020 Elsevier B.V. All rights reserved.)
- Subjects :
- Amino Acid Sequence
Animals
Databases, Protein
Dipeptides chemistry
Dipeptides genetics
Heat-Shock Proteins, Small chemistry
Heat-Shock Proteins, Small genetics
Humans
Proteomics methods
Sequence Alignment
Computational Biology methods
Dipeptides classification
Heat-Shock Proteins, Small classification
Machine Learning
Subjects
Details
- Language :
- English
- ISSN :
- 1879-0003
- Volume :
- 167
- Database :
- MEDLINE
- Journal :
- International journal of biological macromolecules
- Publication Type :
- Academic Journal
- Accession number :
- 33212104
- Full Text :
- https://doi.org/10.1016/j.ijbiomac.2020.11.111