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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Detaylı Bibliyografya
Yayımlandı:Front Microbiol
Asıl Yazarlar: Agrawal, Piyush, Bhalla, Sherry, Chaudhary, Kumardeep, Kumar, Rajesh, Sharma, Meenu, Raghava, Gajendra P. S.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2018
Konular:
Microbiology
Online Erişim: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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