Rheumatoid arthritis (RA) is a chronic inflammatory disorder affecting many joints including those in the hands and feet. In Rheumatoid arthritis, the body’s immune system attacks its own tissue, including joints. It (RA)also affects joint linings, causing painful swelling. Extra-articular manifestations are common and a variety of immunological abnormalities that leads to disability are evident. A variety of disease modifying antirheumatic drugs (DMARDs) are available to control the activity of rheumatoid arthritis. The RA is more prevalent among women and typically manifests between the ages of 30 and 60. Docking studies of DMARDS with various receptors in human like interleukin-6 receptor, tumor necrosis factor-?, thymidylate synthase, human serum albumin, dihydrofolate reductase which has various properties and mechanism. It concludes that the receptors like TNF-? and IL-6 have better binding affinity towards the DMARDs of Rheumatoid arthritis. This review describes the computational methods like molecular docking and protein optimization plays a crucial role in enhancing the effectiveness and safety profiles of anti-rheumatic drugs