An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies-Reference-Cited by-同舟云学术

An advanced approach to identify antimicrobial peptides and their function types for penaeus through machine learning strategies

Published:2019-06 Issue:S8 Volume:20 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Lin Yuan,Cai Yinyin,Liu Juan,Lin Chen,Liu Xiangrong

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-019-2766-9.pdf

Reference41 articles.

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3. Nannette YY, Michael RY. Multidimensional signatures in antimicrobial peptides. Proc Natl Acad Sci. 2004; 7363:7368. https://doi.org/10.1073/pnas.0401567101 .

4. Meher PK, Sahu TK, Saini V, Rao AQ. Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into chou’s general PseAAC; 2017. https://doi.org/10.1038/srep42362 .

5. Khosravian M. Predicting antibacterial peptides by the concept of chou’s pseudo-amino acid composition and machine learning methods. Protein Pept Lett. 2013; 180:186. https://doi.org/10.2174/0929866511320020009 .

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