Antifungal Signature: Physicochemical and Structural In Silico Analysis of Some Antifungal Peptides

High throughput screening of antifungal peptide libraries have generated large number of information on peptide activities. However scientists are still struggling to explain the specific antifungal protein motifs resulting in their activities. So a thorough antifungal peptide optimization is required. To design and predict secondary structure of synthetic as well as natural antifungal peptide using in silico approaches, various parameters such as their sequences, physicochemical characterization, structures and functions should taken care to ensure a successful prediction. The primary interest of this study is to determine the properties that stabilize bonds of helices and coils of antifungal peptides along with their domains. Fifty different antifungal peptides have been analyzed in this study which were retrieved from uniprot and pdb databases and were characterized thoroughly using in silico tools. The present analysis showed that most of the antifungal peptides were hydrophobic in nature due to high content of nonpolar residues where as the functional domains were hydrophilic because of the presence of more polar residues. Many disulphide bonds were noticed in these peptides because of the presence of high cysteine residues which may be regarded as a positive factor for stability of linear helices and coils. Maximum number of random coils were observed in the domains of the studied peptides. The present study thus indicated that the peptidal domains of antifungal peptides contain structurally conserve signature though they are evolutionary diverse. Thus the present in silico models are able to guide the antifungal peptide design in a meaningful way.