Computational study on natural products as emerging hope for arthritis

Osteoarthritis is a progressive challenge to the people of almost all ages nowadays, though initially it threatened only the geriatric group. Specific curative therapies for this ailment is still on a questionable scaffold, where prescribers are mainly relying on providing symptomatic relief to the patients through NSAIDs and even narcotic analgesics in rare but severe cases. The most common treatment horizon has been found to be knee replacement, whose success rate can be widely argued upon. Recent research have found the role of MMP13 in the degeneration of bone cartilage leading to osteoarthritis, where reverse hydroxamate based inhibitors have been found to be promisingly useful to suppress this enzyme. But further studies have identified potential risk from these. Thus, natural molecules are coming up, where selective optimization might produce range of drug like compounds. Computational drug development approach can be handy tool in this domain, where profound understanding of the natural compounds can help us to identify its interactions with target proteins, responsible for diseases. Thus, might be helpful in screening for lead candidates in drug discovery pipeline.