In Silico Approach for Prediction of Antifungal Peptides

This paper describes in silico models developed using a wide range of peptide features for predicting antifungal peptides (AFPs). Our analyses indicate that certain types of residue (e.g., C, G, H, K, R, Y) are more abundant in AFPs. The positional residue preference analysis reveals the prominence...

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Udgivet i:Front Microbiol
Main Authors: Agrawal, Piyush, Bhalla, Sherry, Chaudhary, Kumardeep, Kumar, Rajesh, Sharma, Meenu, Raghava, Gajendra P. S.
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2018
Fag:
Microbiology
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5834480/
https://ncbi.nlm.nih.gov/pubmed/29535692
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fmicb.2018.00323
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