CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins
Joint Authors
Nantasenamat, Chanin
Shoombuatong, Watshara
Prachayasittikul, Virapong
Pratiwi, Reny
Malik, Aijaz Ahmad
Schaduangrat, Nalini
Wikberg, Jarl E. S.
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-09
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Antifreeze protein (AFP) is an ice-binding protein that protects organisms from freezing in extremely cold environments.
AFPs are found across a diverse range of species and, therefore, significantly differ in their structures.
As there are no consensus sequences available for determining the ice-binding domain of AFPs, thus the prediction and characterization of AFPs from their sequence is a challenging task.
This study addresses this issue by predicting AFPs directly from sequence on a large set of 478 AFPs and 9,139 non-AFPs using machine learning (e.g., random forest) as a function of interpretable features (e.g., amino acid composition, dipeptide composition, and physicochemical properties).
Furthermore, AFPs were characterized using propensity scores and important physicochemical properties via statistical and principal component analysis.
The predictive model afforded high performance with an accuracy of 88.28% and results revealed that AFPs are likely to be composed of hydrophobic amino acids as well as amino acids with hydroxyl and sulfhydryl side chains.
The predictive model is provided as a free publicly available web server called CryoProtect for classifying query protein sequence as being either AFP or non-AFP.
The data set and source code are for reproducing the results which are provided on GitHub.
American Psychological Association (APA)
Pratiwi, Reny& Malik, Aijaz Ahmad& Schaduangrat, Nalini& Prachayasittikul, Virapong& Wikberg, Jarl E. S.& Nantasenamat, Chanin…[et al.]. 2017. CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins. Journal of Chemistry،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1172621
Modern Language Association (MLA)
Pratiwi, Reny…[et al.]. CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins. Journal of Chemistry No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1172621
American Medical Association (AMA)
Pratiwi, Reny& Malik, Aijaz Ahmad& Schaduangrat, Nalini& Prachayasittikul, Virapong& Wikberg, Jarl E. S.& Nantasenamat, Chanin…[et al.]. CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins. Journal of Chemistry. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1172621
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1172621