Predicting Rheumatoid Arthritis Associated Significant Amino-Acid Residues Using Residue-Residue Interaction Analysis

Rheumatoid Arthritis (RA) is a prevalent autoimmune and inflammatory disease that requires restructuring. A lot of research information available, but clear etiology drug target still unclear. bottom-up approach can add more to existing knowledge about RA. One better way understanding the disease-related mechanism objectives be detailed residue-residue interaction proteins involved with In current work, we have studied significant reported in Indian population are RA progression represented each them as complex network amino acid residues understand significance individual network. We implied graph theory identity central important residue, based on topological properties This allows us look at precise method identify potential targets. Our result identified leucine, phenylalanine, tyrosine, tryptophan essential nodes network, their activity was mainly connected immune system. Understanding function these acids CTLA4, CD40, IRF5, IL2RB, TRAF could lead new treatment options fight against Arthritis. Bangladesh Journal Medical Science Vol. 21 No. 04 October’22 Page : 698-710