Ontology highlight
ABSTRACT:
SUBMITTER: Agrawal P
PROVIDER: S-EPMC5834480 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Agrawal Piyush P Bhalla Sherry S Chaudhary Kumardeep K Kumar Rajesh R Sharma Meenu M Raghava Gajendra P S GPS
Frontiers in microbiology 20180226
This paper describes <i>in silico</i> 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 of the particular type of residues (e.g., R, V, K) at N-terminus and a certain type of residues (e.g., C, H) at C-terminus. In this study, models have been developed for predicting AFPs using a ...[more]