Hypothesis on Serenoa repens (Bartram) small extract inhibition of prostatic 5α-reductase through an in silico approach on 5β-reductase x-ray structure

Department of Physical Sciences, Earth and Environment, University of Siena, Siena, Italy
Department of Chemistry, University of Copenhagen, Copenhagen, Denmark
Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy
DOI
10.7287/peerj.preprints.2543v1
Subject Areas
Computational Biology, Pharmacology
Keywords
Serenoa repens (Bartram) Small, Benign prostatic hyperplasia, 5α-reductase, Molecular docking, PyRosetta, AutoDock
Copyright
© 2016 Governa et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Governa P, Giachetti D, Biagi M, Manetti F, De Vico L. 2016. Hypothesis on Serenoa repens (Bartram) small extract inhibition of prostatic 5α-reductase through an in silico approach on 5β-reductase x-ray structure. PeerJ Preprints 4:e2543v1

Abstract

Benign prostatic hyperplasia is a common disease in men aged over 50 years old, with an incidence increasing to more than 80% over the age of 70, that is increasingly going to attract pharmaceutical interest. Within conventional therapies, such as α-adrenoreceptor antagonists and 5α-reductase inhibitor, there is a large requirement for treatments with less adverse events on, e.g., blood pressure and sexual function: phytotherapy may be the right way to fill this need. Serenoa repens standardized extract has been widely studied and its ability to reduce lower urinary tract symptoms related to benign prostatic hyperplasia is comprehensively described in literature. An innovative investigation on the mechanism of inhibition of 5α-reductase by Serenoa repens extract active principles is proposed in this work through computational methods, performing molecular docking simulations on the crystal structure of human liver 5β-reductase. The results confirm that both sterols and fatty acids can play a role in the inhibition of the enzyme, thus, suggesting a competitive mechanism of inhibition. This work proposes a further confirmation for the rational use of herbal products in the management of benign prostatic hyperplasia, and suggests computational methods as an innovative, low cost, and non-invasive process for the study of phytocomplex activity toward proteic targets.

Author Comment

This is a submission to PeerJ for review.

Supplemental Information

Autodock binding energy evaluation of 5AR homology model in complex with different substrates (kcal/mol)

DOI: 10.7287/peerj.preprints.2543v1/supp-1

PyRosetta computed absolute energies and computed binding energies (kcal/mol)

DOI: 10.7287/peerj.preprints.2543v1/supp-2

Unproductive position interactions

DOI: 10.7287/peerj.preprints.2543v1/supp-3

Productive position interactions

DOI: 10.7287/peerj.preprints.2543v1/supp-4

DUD-E generated decoys binding energies (kcal/mol) obtained by PyRosetta, using 5BR as a target protein

DOI: 10.7287/peerj.preprints.2543v1/supp-5

Stigmasterol (a,b), campesterol (c,d) and daucosterol (e,f) in the unproductive (left) and productive (right) position

DOI: 10.7287/peerj.preprints.2543v1/supp-6

Lauric acid (a,b), miristic acid (c,d), palmitic acid (e,f) and linoleic acid (h,i) in the unproductive (left) and productive (right) position

DOI: 10.7287/peerj.preprints.2543v1/supp-7

5AR type 1 and 5BR sequence alignment

Binding site residues are sharpened in light green; active site residues are sharpened in olive green.

DOI: 10.7287/peerj.preprints.2543v1/supp-8

5AR type 2 and 5BR sequence alignment

Binding site residues are sharpened in light green; active site residues are sharpened in olive green.

DOI: 10.7287/peerj.preprints.2543v1/supp-9

Formulas of the top 6 decoys generated by DUD-E

DOI: 10.7287/peerj.preprints.2543v1/supp-10