Detecting antimicrobial peptides by exploring the mutual information of their sequences-Reference-Cited by-同舟云学术

Detecting antimicrobial peptides by exploring the mutual information of their sequences

Published:2019-12-18 Issue:17 Volume:38 Page:5037-5043
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Tripathi Vijay¹,Tripathi Pooja²

Affiliation:

1. Department of Molecular and Cellular Engineering, Jacob Institute of Biotechnology and Bioengineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, India;

2. Department of Computational Biology & Bioinformatics, Jacob Institute of Biotechnology and Bioengineering, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj, India

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2019.1695667

Reference50 articles.

1. CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides

2. Prediction of Antimicrobial Potential of a Chemically Modified Peptide From Its Tertiary Structure

3. AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest

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