Accurate prediction of bacterial type IV secreted effectors using amino acid composition and PSSM profiles-Reference-Cited by-同舟云学术

Accurate prediction of bacterial type IV secreted effectors using amino acid composition and PSSM profiles

Published:2013-09-23 Issue:24 Volume:29 Page:3135-3142
ISSN:1460-2059
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Zou Lingyun¹,Nan Chonghan¹,Hu Fuquan¹

Affiliation:

1. Department of Microbiology, College of Basic Medical Sciences, Third Military Medical University (TMMU), Chongqing 40038, China and 2Department of Tuberculosis, Institute of Infectious TB Prevention, Third Hospital of PLA, Baoji, Shanxi 721006, China

Funder

NIH

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/29/24/3135/25499498/btt554.pdf

Reference31 articles.

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2. SecReT4: a web-based bacterial type IV secretion system TF4resource;Bi;Nucleic Acids Res.,2013

3. Genome-scale identification of Legionella pneumophila effectors using a machine learning approach;Burstein;PLoS Pathog.,2009

4. Recognition and delivery of effector proteins into eukaryotic cells by bacterial secretion systems;Cambronne;Traffic,2006

5. Structure of the outer membrane complex of a type IV secretion system;Chandran;Nature,2009

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