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An in silico study: Novel targets for potential drug and vaccine design against drug resistant H. pylori

Pasala, Chiranjeevi, Chilamakuri, Chandra Sekhar Reddy, Katari, Sudheer Kumar, Nalamolu, Ravina Madhulitha, Bitla, Aparna R., Umamaheswari, Amineni
Microbial pathogenesis 2018 v.122 pp. 156-161
Helicobacter pylori, computers, data collection, enzymes, genes, genomics, membrane proteins, molecular weight, multiple drug resistance, risk, stomach neoplasms, surveys, therapeutics, vaccines
Gastric cancer risk and adverse ramifications by augmented multi-drug resistance (MDR) of Helicobacter pylori are alarming serious health concern. Combating through available drugs is a difficult task due to lack of appropriate common targets against genetically diverse strains. To improve efficacy, the effective targets should be identified and critically assessed. In the present study, we aim to predict the potential novel targets against H. pylori strains by employing computer aided approach. The genomic dataset of 53 H. pylori strains was comparatively processed and eventually predicted 826 ‘conserved gene products’. Further, we performed subtractive genomic approach in search of promising crucial targets through the combination of in silico analyses. Codon adaptation index (CAI) value calculation and literature surveys were also done in order to find highly expressed gene products with novelty. Consequently, four enzymes and three membrane proteins were prioritized as new therapeutic and vaccine targets respectively which found to have more interactors in network with high-confidence score, druggability, antigenicity and molecular weight <110 kDa. Therefore, our results underpin the importance of new targets may counteract with false–positive/negatives and facilitate appropriate potential targets for a new insight of reliable therapeutic development.