Abstract
Rheumatoid arthritis is a chronic autoimmune disorder that causes joint disfigurement and destruction leading to reduced quality of life. Effective drug therapies include the Disease Modifying Anti-Rheumatic Drugs which can help impede the progression of the disease but are not always effective. It is, therefore important to identify novel and effective therapies to combat this debilitating disorder. Several bioinformatics tools and computational approaches can be utilized to identify novel and effective therapies for rheumatoid arthritis and these are presented here.
Keywords: Drug design, rheumatoid arthritis, ADME, comparative modeling, interleukins, DMARDs, autoimmune, Anti-Rheumatic Drugs, prostaglandins, interleukin
Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry
Title: Computational Strategies for the Development of Novel Small Molecule Rheumatoid Arthritis Therapies
Volume: 10 Issue: 2
Author(s): Tarek M. Mahfouz and David H. Kinder
Affiliation:
Keywords: Drug design, rheumatoid arthritis, ADME, comparative modeling, interleukins, DMARDs, autoimmune, Anti-Rheumatic Drugs, prostaglandins, interleukin
Abstract: Rheumatoid arthritis is a chronic autoimmune disorder that causes joint disfigurement and destruction leading to reduced quality of life. Effective drug therapies include the Disease Modifying Anti-Rheumatic Drugs which can help impede the progression of the disease but are not always effective. It is, therefore important to identify novel and effective therapies to combat this debilitating disorder. Several bioinformatics tools and computational approaches can be utilized to identify novel and effective therapies for rheumatoid arthritis and these are presented here.
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Cite this article as:
M. Mahfouz Tarek and H. Kinder David, Computational Strategies for the Development of Novel Small Molecule Rheumatoid Arthritis Therapies, Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry 2011; 10 (2) . https://dx.doi.org/10.2174/1871523011107020085
DOI https://dx.doi.org/10.2174/1871523011107020085 |
Print ISSN 1871-5230 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-614X |
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