Unveiling Attributes of Human 15-Lipoxygenase-1 as a Potential Candidate for Prostate Cancer Drug Development Using in Silico Approaches

Author:

Fathi Shirin12ORCID,Sakhteman Amirhossein3,Solhjoo Aida3

Affiliation:

1. Department of Pharmaceutical Biotechnology, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran

2. Pharmaceutical Sciences Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

3. Department of Medicinal Chemistry, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

Prostate carcinoma is one of the most commonly diagnosed visceral malignancies and the fifth leading cause of cancer-related mortality in males. Reportedly, a series of dietary lipids are identified as 1-cis-4-cis-pentadiene polyunsaturated fatty acids (PUFAs), which play a dominant role in prostate carcinogenesis. Four species of human lipoxygenases (LOXs), a family of nonheme iron-containing enzymes, mediate the deoxygenation of the aforementioned PUFAs. 15-LOX-1 in particular metabolizes the [Formula: see text]-6 lipids and generates certain metabolites (e.g., 13-(S)-hydroxyoctadecaenoic acid) which results in vascular homeostasis, cell proliferation and tissue differentiation in the prostate. Furthermore, in prostate cancer (PCa), the expression of 15-LOX-1 is elevated and positively correlated with the Gleason score of the tumor (an indicator of the disease severity). As membrane receptors, kinases and transcriptional factors are all affected by carcinogenic signals of 15-LOX-1, therapeutic agents that directly inhibit this enzyme can be advantageous in the treatment of PCa. To our knowledge, there are limited effective treatments for PCa, and there is no therapy for its metastatic condition. In this respect, 15-LOX-1, as an appropriate candidate for drug development, was subjected to homology modeling, phylogenic assessment, cross-docking analysis and molecular dynamics (MD) simulation to identify an eligible inhibiting agent amongst a library of 30 potential targeting compounds for PCa management.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computational Theory and Mathematics,Physical and Theoretical Chemistry,Computer Science Applications

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