ArticleJournal of chemical biology2010
In silico identification of common putative drug targets in Leptospira interrogans.
Article in Journal of chemical biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 83 citations in OpenAlex.
- Core Proteome Subtractive Genomics Reveals Potential Therapeutic Targets in Bacillus anthracis.Current microbiology · 2026Article
- Subtractive proteomics and molecular docking identify therapeutic targets and drug candidates in drug resistant Klebsiella Michiganensis THO-011.Scientific reports · 2025Article
- In silico discovery of druggable targets in Citrobacter koseri using echinoderm metabolites and molecular dynamics simulation.Scientific reports · 2024Article
- Identification of Putative Vaccine and Drug Targets against the Methicillin-ResistantMolecules (Basel, Switzerland) · 2022Article
- Proteome based mapping and molecular docking revealed DnaA as a potential drug target againstSaudi journal of biological sciences · 2022Article
- Recent developments on UDP-N-acetylmuramoyl-L-alanine-D-gutamate ligase (Mur D) enzyme for antimicrobial drug development: An emphasis on in-silico approaches.Current research in pharmacology and drug discovery · 2022Review
- Multi-epitope chimeric vaccine designing and novel drug targets prioritization against multi-drug resistantFrontiers in microbiology · 2022Article
- Genetic Determinants in Salmonella enterica Serotype Typhimurium Required for OvercomingMicrobiology spectrum · 2021Article
- Article
- In Silico Core Proteomics and Molecular Docking Approaches for the Identification of Novel Inhibitors againstInternational journal of environmental research and public health · 2021Article
- Prioritization of potential drug targets and antigenic vaccine candidates againstJournal of proteins and proteomics · 2021Article
- Putative Drug Target Identification in Tinea Causing Pathogen Trichophyton rubrum Using Subtractive Proteomics Approach.Current microbiology · 2020Article
- Modeling Novel Putative Drugs and Vaccine Candidates against Tick-Borne Pathogens: A Subtractive Proteomics Approach.Veterinary sciences · 2020Article
- In Silico Subtractive Proteomics Approach for Identification of Potential Drug Targets inInternational journal of environmental research and public health · 2020Article
- Network-Based Metabolism-Centered Screening of Potential Drug Targets inFrontiers in cellular and infection microbiology · 2019Article
- An in silico approach towards identification of novel drug targets in pathogenic species of Leptospira.PloS one · 2019Article
- Long-chain flavodoxin FldX1 improves Paraburkholderia xenovorans LB400 tolerance to oxidative stress caused by paraquat and H2O2.PloS one · 2019Article
- Identification of potential drug targets and inhibitor of the pathogenic bacteriaIn silico pharmacology · 2018Article
- LeptoDB: an integrated database of genomics and proteomics resource of Leptospira.Database : the journal of biological databases and curation · 2018Article
- Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infectious diseases are the leading causes of death worldwide. Hence, there is a need to develop new antimicrobial agents. Traditional method of drug discovery is time consuming and yields a few drug targets with little intracellular information for guiding target selection. Thus, focus in drug development has been shifted to computational comparative genomics for identifying novel drug targets. Leptospirosis is a worldwide zoonosis of global concern caused by Leptospira interrogans. Availability of L. interrogans serovars and human genome sequences facilitated to search for novel drug targets using bioinformatics tools. The genome sequence of L. interrogans serovar Copenhageni has 5,124 genes while that of serovar Lai has 4,727 genes. Through subtractive genomic approach 218 genes in serovar Copenhageni and 158 genes in serovar Lai have been identified as putative drug targets. Comparative genomic approach had revealed that 88 drug targets were common to both the serovars. Pathway analysis using the Kyoto Encyclopaedia of Genes and Genomes revealed that 66 targets are enzymes and 22 are non-enzymes. Sixty two common drug targets were predicted to be localized in cytoplasm and 16 were surface proteins. The identified potential drug targets form a platform for further investigation in discovery of novel therapeutic compounds against Leptospira.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.