1st International and 10th National Iranian Conference on Bioinformatics
Home Accepted Papers
In Silico Design of a novel peptide inhibitor derivative of azurin peptide affecting gastric cancer
Paper ID : 1194-ICB10
Authors:
Shahrzad Shahbazi *, somayeh reiisi
دانشگاه شهرکرد
Abstract:
Background: Antimicrobial peptides are short amino acid sequences, involved in diverse functions. They have anti-cancer properties, probably due to controlling mutagenic compounds by direct binding to carcinogens or inhibition of microbes that produce these agents [1]. Azurin is a copper-comprising redox protein secreted by Pseudomonas aeruginosa [2]. Azurin and its derived peptide can selectively enter into different types of cancer cells and induce cell cycle arrest or apoptosis. The use of computational methods for drug designing has been considered a powerful technique in recent decades. Thus, the aim of the current study is to improve the approach for the identification of possible peptide drug molecules for gastric cancer targeting through bioinformatics analysis.
Materials and Methods: Azurin peptide sequence submits to AntiCP server for predict and design of newly anticancer peptides. The 2D and 3D structures of these peptides were drawn with Protean (DNAstar software) and Phyre2 respectively. The 3D structures of peptides were docked with the VEGFR using docking server swissdock and the peptide with the maximum binding energy value was identified. As well, anticancer activity for each peptide was estimated with iACP software.
Results: AntiCP server predicts >200 peptides with the anticancer property. Anticancer activity of newly designed peptides showed 98-99% anticancer specificity. Results of this study indicated that among 200 peptides that were virtually screened, 18 peptides showed the high anticancer property and among these peptides, DSRVIEHTKLIGSGEKDSVTFDVSK was identified as a potential sequence for VEGFR ligand.
Conclusion: Our results revealed the possibility of a successful design of a new anticancer peptide derived from the Azurin peptide. Therefore, the newly designed peptide can be proposed as a potential inhibitor agent against gastric cancer.
Keywords:
Anti-cancer peptides; Azurin peptide; Gastric cancer; In Silico
Status : Paper Accepted (Poster Presentation)