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