-
Drug Design, Development and Therapy
-
About Dovepress
Open access peer-reviewed scientific and medical journals.
-
Open Access
Dove Medical Press is now a member of the Open Access Initiative
-
An Author's Guide
A guide to help authors get their paper published.
-
Advocacy
Support Open Access and Dove Press
-
Reprints
Promotional Article Monitoring - further details
-
Favored Author Program
Real benefits for authors, including fast-track processing of papers.
Development of QSAR model for immunomodulatory activity of natural coumarinolignoids
Other
(2064) Views (760) Full article downloads
Authors: Dharmendra K Yadav, Abha Meena, Ankit Srivastava, et al
Published Date July 2010
Volume 2010:4 Pages 173 - 186
DOI: http://dx.doi.org/10.2147/DDDT.S10875
Dharmendra K Yadav, Abha Meena, Ankit Srivastava, D Chanda, Feroz Khan, SK ChattopadhyayMetabolic and Structural Biology Department, Central Institute of Medicinal and Aromatic Plants, Council of Scientific and Industrial Research, PO-CIMAP, India
Abstract: Immunomodulation is the process of alteration in immune response due to foreign intrusion of molecules inside the body. Along with the available drugs, a large number of herbal drugs are promoted in traditional Indian treatments, for their immunomodulating activity. Natural coumarinolignoids isolated from the seeds of Cleome viscose have been recognized as having hepatoprotective action and have recently been tested preclinically for their immunomodulatory activity affecting both cell-mediated and humoral immune response. To explore the immunomodulatory compound from derivatives of coumarinolignoids, a quantitative structure activity relationship (QSAR) and molecular docking studies were performed. Theoretical results are in accord with the in vivo experimental data studied on Swiss albino mice. Immunostimulatory activity was predicted through QSAR model, developed by forward feed multiple linear regression method with leave-one-out approach. Relationship correlating measure of QSAR model was 99% (R2 = 0.99) and predictive accuracy was 96% (RCV2 = 0.96). QSAR studies indicate that dipole moment, steric energy, amide group count, lambda max (UV-visible), and molar refractivity correlates well with biological activity, while decrease in dipole moment, steric energy, and molar refractivity has negative correlation. Docking studies also showed strong binding affinity to immunomodulatory receptors.
Keywords: coumarinolignoids, immunomodulation, docking, QSAR, regression model
- Testimonials
"... I was impressed at the rapidity of publication from submission to final acceptance." Dr Edwin Thrower, PhD, Yale University
- Tenofovir-associated bone density loss
- The benefits and risks of testosterone replacement therapy: a review
- Drug design with Cdc7 kinase: a potential novel cancer therapy target
- Development of mucosal adjuvants for intranasal vaccine for H5N1 influenza viruses




