{"title":"An interactomic approach for identification of putative drug targets in Listeria monocytogenes","authors":"Nikita Chordia, N. Sharma, Anil Kumar","doi":"10.1504/IJBRA.2015.070138","DOIUrl":null,"url":null,"abstract":"A wide variety of human population is infected with Listeria monocytogenes, which causes listeriosis, a deadly disease with mortality rate of about 30%. The major hindrance to cure listeriosis is the unavailability of specific or selectable drug targets. At present, antibiotics used to cure the disease are not specific and insufficient to manage the disease efficiently. Therefore, in order to search specific drugs, here, we used interactome analysis to search specific drug targets which may provide novel templates for drug designing having better efficacy without any potential adverse effects. The complete genome of L. monocytogenes having 2846 proteins has been analysed. We found 11 proteins as putative drug targets. The sequence and interactome analyses revealed that 11 proteins are non-homologous to human, but essential for pathogen and hence may be considered as potential therapeutic targets.","PeriodicalId":35444,"journal":{"name":"International Journal of Bioinformatics Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJBRA.2015.070138","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Bioinformatics Research and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJBRA.2015.070138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Health Professions","Score":null,"Total":0}
引用次数: 4
Abstract
A wide variety of human population is infected with Listeria monocytogenes, which causes listeriosis, a deadly disease with mortality rate of about 30%. The major hindrance to cure listeriosis is the unavailability of specific or selectable drug targets. At present, antibiotics used to cure the disease are not specific and insufficient to manage the disease efficiently. Therefore, in order to search specific drugs, here, we used interactome analysis to search specific drug targets which may provide novel templates for drug designing having better efficacy without any potential adverse effects. The complete genome of L. monocytogenes having 2846 proteins has been analysed. We found 11 proteins as putative drug targets. The sequence and interactome analyses revealed that 11 proteins are non-homologous to human, but essential for pathogen and hence may be considered as potential therapeutic targets.
期刊介绍:
Bioinformatics is an interdisciplinary research field that combines biology, computer science, mathematics and statistics into a broad-based field that will have profound impacts on all fields of biology. The emphasis of IJBRA is on basic bioinformatics research methods, tool development, performance evaluation and their applications in biology. IJBRA addresses the most innovative developments, research issues and solutions in bioinformatics and computational biology and their applications. Topics covered include Databases, bio-grid, system biology Biomedical image processing, modelling and simulation Bio-ontology and data mining, DNA assembly, clustering, mapping Computational genomics/proteomics Silico technology: computational intelligence, high performance computing E-health, telemedicine Gene expression, microarrays, identification, annotation Genetic algorithms, fuzzy logic, neural networks, data visualisation Hidden Markov models, machine learning, support vector machines Molecular evolution, phylogeny, modelling, simulation, sequence analysis Parallel algorithms/architectures, computational structural biology Phylogeny reconstruction algorithms, physiome, protein structure prediction Sequence assembly, search, alignment Signalling/computational biomedical data engineering Simulated annealing, statistical analysis, stochastic grammars.