Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition
Joint Authors
Ding, Hui
Lin, Hao
Chen, Wei
Chen, Xin-Xin
Tang, Hua
Li, Wen-Chao
Wu, Hao
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-29
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Owing to the abuse of antibiotics, drug resistance of pathogenic bacteria becomes more and more serious.
Therefore, it is interesting to develop a more reasonable way to solve this issue.
Because they can destroy the bacterial cell structure and then kill the infectious bacterium, the bacterial cell wall lyases are suitable candidates of antibacteria sources.
Thus, it is urgent to develop an accurate and efficient computational method to predict the lyases.
Based on the consideration, in this paper, a set of objective and rigorous data was collected by searching through the Universal Protein Resource (the UniProt database), whereafter a feature selection technique based on the analysis of variance (ANOVA) was used to acquire optimal feature subset.
Finally, the support vector machine (SVM) was used to perform prediction.
The jackknife cross-validated results showed that the optimal average accuracy of 84.82% was achieved with the sensitivity of 76.47% and the specificity of 93.16%.
For the convenience of other scholars, we built a free online server called Lypred.
We believe that Lypred will become a practical tool for the research of cell wall lyases and development of antimicrobial agents.
American Psychological Association (APA)
Chen, Xin-Xin& Tang, Hua& Li, Wen-Chao& Wu, Hao& Chen, Wei& Ding, Hui…[et al.]. 2016. Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition. BioMed Research International،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1096931
Modern Language Association (MLA)
Chen, Xin-Xin…[et al.]. Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition. BioMed Research International No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1096931
American Medical Association (AMA)
Chen, Xin-Xin& Tang, Hua& Li, Wen-Chao& Wu, Hao& Chen, Wei& Ding, Hui…[et al.]. Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1096931
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1096931