ArticlePloS one2012
Comparative genomics analysis of Mycobacterium ulcerans for the identification of putative essential genes and therapeutic candidates.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
28 citing papers in PubMed, 74 citations in OpenAlex.
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- In Silico Subtractive Proteomics Approach for Identification of Potential Drug Targets inInternational journal of environmental research and public health · 2020Article
- Pharmacodynamics of Ceftiofur Selected by Genomic and Proteomic Approaches ofInternational journal of genomics · 2020Article
- Identifying miltefosine-resistant key genes in protein-protein interactions network and experimental verification in Iranian Leishmania major.Molecular biology reports · 2019Article
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- Identification and Evaluation of Novel Drug Targets against the Human Fungal Pathogen Aspergillus fumigatus with Elaboration on the Possible Role of RNA-Binding Protein.Iranian biomedical journal · 2017Article
- Surface proteome mining for identification of potential vaccine candidates against Campylobacter jejuni: an in silico approach.Functional & integrative genomics · 2017Article
- An integrative in-silico approach for therapeutic target identification in the human pathogen Corynebacterium diphtheriae.PloS one · 2017Article
- Pangenome and immuno-proteomics analysis of Acinetobacter baumannii strains revealed the core peptide vaccine targets.BMC genomics · 2016Article
- Drug Target Identification and Prioritization for Treatment of Ovine Foot Rot: An In Silico Approach.International journal of genomics · 2016Article
- Finding Potential Therapeutic Targets againstFrontiers in microbiology · 2016Article
- Novel Drug Targets for Food-Borne Pathogen Campylobacter jejuni: An Integrated Subtractive Genomics and Comparative Metabolic Pathway Study.Omics : a journal of integrative biology · 2015Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mycobacterium ulcerans, the causative agent of Buruli ulcer, is the third most common mycobacterial disease after tuberculosis and leprosy. The present treatment options are limited and emergence of treatment resistant isolates represents a serious concern and a need for better therapeutics. Conventional drug discovery methods are time consuming and labor-intensive. Unfortunately, the slow growing nature of M. ulcerans in experimental conditions is also a barrier for drug discovery and development. In contrast, recent advancements in complete genome sequencing, in combination with cheminformatics and computational biology, represent an attractive alternative approach for the identification of therapeutic candidates worthy of experimental research. A computational, comparative genomics workflow was defined for the identification of novel therapeutic candidates against M. ulcerans, with the aim that a selected target should be essential to the pathogen, and have no homology in the human host. Initially, a total of 424 genes were predicted as essential from the M. ulcerans genome, via homology searching of essential genome content from 20 different bacteria. Metabolic pathway analysis showed that the most essential genes are associated with carbohydrate and amino acid metabolism. Among these, 236 proteins were identified as non-host and essential, and could serve as potential drug and vaccine candidates. Several drug target prioritization parameters including druggability were also calculated. Enzymes from several pathways are discussed as potential drug targets, including those from cell wall synthesis, thiamine biosynthesis, protein biosynthesis, and histidine biosynthesis. It is expected that our data will facilitate selection of M. ulcerans proteins for successful entry into drug design pipelines.
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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.