02190nas a2200289   4500000000100000008004100001260001200042653001200054653001600066653001100082653002600093653001800119100001100137700001100148700001300159700001200172700001300184700001300197700001200210700001500222700001200237700001500249245014400264300000900408520146900417022001401886       2023                            d  c01/202310aleprosy10aPPI network10adegree10agene drug interaction10agene ontology1 aKhan M1 aKhan S1 aLohani M1 aAhmed M1 aSharma D1 aIshrat R1 aAhmad S1 aSherwani S1 aHaque S1 aBhagwath S00aAssessment of key regulatory genes and identification of possible drug targets for Leprosy (Hansen's disease) using network-based approach.  a1-203 a<p>Leprosy is a major health concern and continues to be a source of fear and stigma among people worldwide. Despite remarkable achievements in the treatment, understanding of pathogenesis and transmission, epidemiology of leprosy still remains inadequate. The prolonged incubation period, slow rates of occurrence in those exposed and deceptive clinical presentation pose challenges to develop reliable strategies to stop transmission. Hence, there is a need for improved diagnostics and therapies to prevent mortality caused by leprosy. The objectives of this study are to identify significant genes from protein-protein interactions (PPIs) network of leprosy and to choose the most effective therapeutic targets. Fifty genes related with leprosy were discovered by literature mining. These genes were used to construct a primary network. Leading Eigen Vector method was used to break down the primary network into various sub-networks or communities. It was found that the primary network was divided into many sub-networks at the 6 levels. Seed genes were traced at each level till key regulatory genes were identified. Three seed genes, namely, GNAI3, NOTCH1, and HIF1A, were able to make their way till the final motif stage. These genes along with their interacting partners were considered key regulators of the leprosy network. This study provides leprosy-associated key genes which can lead to improved diagnosis and therapies for leprosy patients.</p>
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