An ensemble method for multi-type Gram-negative bacterial secreted protein prediction by integrating different PSSM-based features-Reference-Cited by-同舟云学术

An ensemble method for multi-type Gram-negative bacterial secreted protein prediction by integrating different PSSM-based features

Published:2019-02-11 Issue:3 Volume:30 Page:181-194
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Kong L.¹,Zhang L.²³

Affiliation:

1. School of Mathematics and Information Science & Technology, Hebei Normal University of Science & Technology, Qinhuangdao, PR China

2. School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, PR China

3. College of Science, Northeastern University, Shenyang, PR China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Research Foundation of Hebei Normal University of Science & Technology

Research Foundation of Qinhuangdao Engineering and Technology

Foundation of Northeastern University at Qinhuangdao

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2019.1573438

Reference35 articles.

1. M. Desvaux, M. Hebraud, R. Talon, and I.R. Henderson, Secretion and subcellular localizations of bacterial proteins: A semantic awareness issue, Trends Microbiol. 17 (2009), pp. 139–145.

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