Literature DB >> 28160639

Pharmacoinformatics study of Piperolactam A from Piper betle root as new lead for non steroidal anti fertility drug development.

Sk Abdul Amin1, Plaban Bhattacharya2, Souvik Basak3, Shovanlal Gayen1, Ashis Nandy2, Achintya Saha2.   

Abstract

Fertility control is a burning problem all over the world to regulate population overflow and maintain ecological balance. This study is an in-silico approach to explore a non-steroidal lead as contraceptive agent in order to avoid several contraindications generated by steroidal analogues. Piperolactam A, an aristolactam isolated from Piper betle Linn. showed binding affinity towards estrogen and progesterone receptor as -8.9 and -9.0Kcal/mol (inhibition constant Ki=0.294μM and 0.249μM) respectively which is even larger than that of reported antagonists such as Rohitukine and OrgC (binding affinity -8.7 and -8.4Kcal/mol; Ki 0.443μM and 0.685μM respectively). The binding site exploration displayed more hydrogen bonding of Piperolactam A (His 524, Leu 346, Thr 347) than Rohitukine and OrgC (Leu 718) with associated receptors which was further confirmed by molecular dynamics simulations. The drug-likeliness of the compound has been proved from its tally with Lipinsky's Rule of Five and lowered toxicity such as cardiac toxicity, liver toxicity, mutagenicity and ecological toxicity. Endocrine disruptome and later docking guided molecular simulations revealed that Piperolactam A has weaker binding affinity and/or lower probability of binding with nuclear receptors especially hERG and cytochrome P450. The high Caco-2 permeability suggested more bioavailability hence more therapeutic efficacy of the drug.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ADMET study; Contraceptive activity; Molecular docking; Piper betle; Piperolactam A

Mesh:

Substances:

Year:  2017        PMID: 28160639     DOI: 10.1016/j.compbiolchem.2017.01.004

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  6 in total

1.  Molecular modeling of non-covalent binding of Ligustrum lucidum secoiridoid glucosides to AP-1/matrix metalloproteinase pathway components.

Authors:  Pathomwat Wongrattanakamon; Piyarat Nimmanpipug; Busaban Sirithunyalug; Wantida Chaiyana; Supat Jiranusornkul
Journal:  J Bioenerg Biomembr       Date:  2018-04-23       Impact factor: 2.945

Review 2.  Betelvine (Piper betle L.): A comprehensive insight into its ethnopharmacology, phytochemistry, and pharmacological, biomedical and therapeutic attributes.

Authors:  Protha Biswas; Uttpal Anand; Suchismita Chatterjee Saha; Nishi Kant; Tulika Mishra; Harison Masih; Ananya Bar; Devendra Kumar Pandey; Niraj Kumar Jha; Madhumita Majumder; Neela Das; Vijaykumar Shivaji Gadekar; Mahipal S Shekhawat; Manoj Kumar; Jarosław Proćków; José M Pérez de la Lastra; Abhijit Dey
Journal:  J Cell Mol Med       Date:  2022-05-02       Impact factor: 5.295

3.  Discovery of new drug indications for COVID-19: A drug repurposing approach.

Authors:  Priyanka Kumari; Bikram Pradhan; Maria Koromina; George P Patrinos; Kristel Van Steen
Journal:  PLoS One       Date:  2022-05-24       Impact factor: 3.752

4.  In silico analysis of binding interaction of conantokins with NMDA receptors for potential therapeutic use in Alzheimer's disease.

Authors:  Maleeha Waqar; Sidra Batool
Journal:  J Venom Anim Toxins Incl Trop Dis       Date:  2017-09-20

5.  Computational Simulations Identified Two Candidate Inhibitors of Cdk5/p25 to Abrogate Tau-associated Neurological Disorders.

Authors:  Amir Zeb; Minky Son; Sanghwa Yoon; Ju Hyun Kim; Seok Ju Park; Keun Woo Lee
Journal:  Comput Struct Biotechnol J       Date:  2019-04-22       Impact factor: 7.271

6.  Molecular Docking and Dynamics Simulation of Natural Compounds from Betel Leaves (Piper betle L.) for Investigating the Potential Inhibition of Alpha-Amylase and Alpha-Glucosidase of Type 2 Diabetes.

Authors:  Sabbir Ahmed; Md Chayan Ali; Rumana Akter Ruma; Shafi Mahmud; Gobindo Kumar Paul; Md Abu Saleh; Mohammed Merae Alshahrani; Ahmad J Obaidullah; Sudhangshu Kumar Biswas; Md Mafizur Rahman; Md Mizanur Rahman; Md Rezuanul Islam
Journal:  Molecules       Date:  2022-07-15       Impact factor: 4.927

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.