Correlation between Targeted Protein and Drug Side Effects: A Step towards the Prediction of Drug Toxicity
7 Pages Posted: 3 Sep 2019
Date Written: September 2, 2019
Drug toxicity being a pressing health problem is additionally a hindrance in the improvement of therapeutically effective drugs. Adverse drug reactions continue to stay one of the fundamental reasons for the failure of drug and its withdrawal once they have accomplished the market. Extensive scale clinical investigations for finding such symptoms are exorbitant and may miss unpretentious or uncommon reactions or side effects. In this study, we start by discussing the various databases available that provide many drug-related features and then we further investigate the techniques used in the past to enhance the drugs side effects predictions on the basis of different features. We then calculate the correlation of the targeted proteins and side effect pairs. The results indicate their weak and strong dependency on each other. Also, the clustering of drugs is done based on their use in the treatment of various diseases and medical conditions which can be helpful further in the emerging field of pharmacology as there is still a room for improvement in predicting and understanding drug side effects.
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