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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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| Publicado no: | Front Microbiol |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2018
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| Assuntos: | |
| Acesso em linha: | 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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