Computer aided screening of natural products in search of lead molecules for design and development of potent anti-inflammatory agents

Journal Title: Scholars Academic Journal of Pharmacy - Year 2014, Vol 3, Issue 6

Abstract

The aim of this study was to examine correlation between anti-inflammatory activity and molecular properties of the ten selected natural products in search of a lead compound through Molinspiration, Osiris and PASS cheminformatics software. Ten naturally occurring natural products of diverse chemical classes which seem to be promising and potential candidate for the drug development or identification of lead molecules as anti-inflammatory drugs were selected for bioactivity prediction and drug likeness score on the basis of Lipinski’s rule of five. Aceclofenac and Hydrocortisone (cortisol) were used as reference standard for comparing the bioactivity score, molecular and pharmacokinetic properties of natural products. All the compounds except AKBA obeyed Lipinski’s rule of five. All natural products showed good bioactivity score for drug targets including nuclear receptor ligand and enzyme inhibition and thus expected to have excellent pharmacological activity in vivo. All the screened compounds except rosmarinic acid and lovastatin showed Pa values above 0.5 for possible anti-inflammatory activity by PASS software. The majority of the compounds are predicted to have low toxicity potential by Osiris online software. AKBA, celastrol and silybin emerged as potential candidates for the further research as their molecular properties, pharmacokinetic profile and toxicity potential were found to be better than the other tested compounds including standard anti-inflammatory drugs, cortisol and aceclofenac. Keywords: Anti-inflammatory activity, Lipinski’s rule of five, Molinspiration, PASS

Authors and Affiliations

Lakshmi Sree Nath, Shah Alam Khan, Ayaz Ahmad

Keywords

Related Articles

Malaria prevalence and health-seeking behaviour in two Niger Delta communities

The persistence of malaria in Nigeria is a source of public health challenge and this has resulted in various treatment-seeking behaviour among the citizenry. Many factors have been shown to influence the choice of healt...

In vitro Cytotoxic Activity of Luffa acutangula on Human Neuronal Glioblastoma and Human Lung Adenocarcinoma Cell Lines

In vitro studies were carried out to evaluate the cytotoxic potential of the ethanolic and aqueous extracts of Luffa acutangula against human neuronal glioblastoma cells (U343) and human lung cancer cells (A549). Screeni...

Medicinal plants with anticancer effects (part 2)- plant based review

Herbal medicine is the oldest form of medicine known to mankind. It was the mainstay of many early civilizations and still the most widely practiced form of medicine in the world today. Plants generally produce many se...

Event Monitoring in Patients Prescribed with Anti-tubercular Therapy

Tuberculosis is a chronic, granulomatous infectious disease caused by Mycobacterium tuberculosis. Multi-drug resistance is a chronic problem associated with treatment of tuberculosis where a substantial proportion of tub...

Formulation and Evaluation of Econazole Niosomes

This article to investigate the effectiveness of using Niosomes in a transdermal drug delivery system for Econazole. Topically applied Niosomes can increase the longer action on the skin (stratum corneum and epidermis),...

Download PDF file
  • EP ID EP378111
  • DOI -
  • Views 83
  • Downloads 0

How To Cite

Lakshmi Sree Nath, Shah Alam Khan, Ayaz Ahmad (2014). Computer aided screening of natural products in search of lead molecules for design and development of potent anti-inflammatory agents. Scholars Academic Journal of Pharmacy , 3(6), 496-503. https://europub.co.uk./articles/-A-378111