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In silico analysis of antifungal peptides.

Authors: Saeed, Soltani; Keykhosrow, Keymanesh; Soroush, Sardari;

In silico analysis of antifungal peptides.

Abstract

Antimicrobial peptides are short peptides (< 100 amino acids) that have a potent function against microbial invasion. These peptides are produced by various organisms, including bacteria, fungi, flowering and non-flowering plants, insects and mammals. Antifungal peptides are a major group of antimicrobial peptides that have a specially potent effect against fungi. Several parameters affect the activity of antifungal peptides, including the sequence, size, charge, degree of structure formation, cationicity, hydrophobicity and amphipathicity. By analysis of numerous antifungal peptide sequences, the roles of these parameters in the structure of antifungal peptides are investigated in this review and by the in silico analysis of the existing residues, occupying each position of sequence, a template sequence is defined to generate potent and efficient lead antifungal peptides.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
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