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Structural and Molecular Docking Analytical Studies of the Predicted Ligand Binding Sites of Cadherin-1 in Cancer Prognostics

Authors Bakare OO, Fadaka AO, Keyster M, Pretorius A

Received 23 March 2020

Accepted for publication 5 June 2020

Published 28 July 2020 Volume 2020:13 Pages 1—9

DOI https://doi.org/10.2147/AABC.S253851

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 3

Editor who approved publication: Dr Juan Fernandez-Recio


Olalekan Olanrewaju Bakare,1 Adewale Oluwaseun Fadaka,1 Marshall Keyster,2 Ashley Pretorius1

1Bioinformatics Research Group, University of the Western Cape, Cape Town 7535, South Africa; 2Biotechnology Department, University of the Western Cape, Cape Town 7535, South Africa

Correspondence: Olalekan Olanrewaju Bakare Tel +27 603112776
Email lekanbakare77@gmail.com

Introduction: Several studies have explored the design of antimicrobial peptides (AMPs) for the development of therapeutic and diagnostic molecules for the treatment and identification of pathogenic diseases as well as cancer. Human cadherin-1 protein has been identified to be involved in adhesion-mediated signalling pathways in normal cells and its loss through genetic and epigenetic alterations can result in an enhanced invasion and metastasis of malignancy in tumours. Therefore, the identification of cadherin during treatment of cancer can be used as prognostic biomarker to establish the responsiveness of patients to treatment regimen. Antimicrobial peptides (AMPs) offer several compensatory advantages in biomedical applications and have been used for treatment of diseases, dietary supplements and diagnosis of diseases. The aim of this research work was to use in silico approaches to analyse retrieved human cadherin-1 as prognostic targets in cancer treatments using modelled putative anticancer AMPs.
Methods: The structures of the putative AMPs and cadherin-1 were modelled using I-TASSER server and the protein overall quality was validated using PROCHECK. Thereafter, the protein motifs were predicted and the molecular interaction between the putative anticancer AMPs and protein was carried out using PatchDock.
Results: The results revealed that all the AMPs were good prognostic molecules for cancer with BOO1 having the highest binding affinity of 15,874.
Conclusion: This study revealed that all the generated AMPs have good prognostic value for monitoring the progress of cancer treatment using human cadherin-1 as receptor. This is the first report where AMPs were used in prognostics of cancer using human cadherin-1.

Keywords: cancer, antimicrobial peptides, prognosis, homology, modelling, docking, physicochemical, binding, validation, cadherin-1

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