Identification of glutamate ABC-Transporter component in Clostridium perfringens as a putative drug target

Bhatia, Bharti; Ponia, Sanket S.; Solanki, Amit Kumar; Dixit, Aparna; Garg, Lalit C.

doi:10.6026/97320630010401

Cited by 16 publications

(4 citation statements)

References 21 publications

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“…The ABC glutamate transporter has already been characterized in other bacterial genera and is a known vaccine target, considering its indispensable role in the survival of the bacterium (Bhatia et al 2014). Phosphate is essential for energy metabolism and is a component of nucleic acids, phospholipids, and other cell molecules.…”

Section: Drug Targetsmentioning

confidence: 99%

In silico identification of vaccine and drug targets for Corynebacterium ulcerans and the recently described C. silvaticum

Cerqueira

Viana

Jaiswal

et al. 2022

Preprint

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The availability of complete genomes of pathogens enables in silico analyzes that can be used to develop new control methods, reducing the time, cost, and necessity of pathogen cultivation. In this study, we developed a novel pipeline for the prediction of common broad-spectrum drug and vaccine candidates against the diphtheria toxin producing Corynebacterium ulcerans and the recently described C. silvaticum species, considered as a zoonotic potential. We found four common, non-host homologous, virulent, essential cytoplasmic druggable proteins that belong to metabolic pathways and are involved in the regulation in other essential genes. In addition, the docking analysis showed natural compounds from the ZINC database as drug candidate against the target proteins. We also identified nine vaccine candidates involved in transport and regulation of permeability of substances important to the cell. We hypothesize that these identified therapeutic targets and antimicrobial drugs could be considered for prophylaxis and hence, should be subjected to further experimental validations. We suggest that the pipeline can be used on any pathogen.

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Section: Drug Targetsmentioning

confidence: 99%

In silico identification of vaccine and drug targets for Corynebacterium ulcerans and the recently described C. silvaticum

Cerqueira

Viana

Jaiswal

et al. 2022

Preprint

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“…Bioinformatic analysis revealed a glutamate transport system that is present in the pathogen Clostridium perfringens but absent in mammals and birds [ 44 ]. Drugs developed against such a transport system will protect not only humans, but also domesticated mammals and fowls.…”

Section: Genomic Sequence and Exome Data In Drug Discoverymentioning

confidence: 99%

“…Galactofuranose (Gal f ) is an important constituent on the cell surface of a variety of bacterial pathogens [ 47 , 48 ], and its synthesis requires UDP-galactopyranose mutase (UGM). Because Gal f is absent in human [ 44 ], UGM has been used as a desirable drug target [ 49 ]. UGM coded by gene GLF was later found in several eukaryotic unicellular pathogens [ 50 ] as well as in nematodes [ 51 ].…”

Section: Genomic Sequence and Exome Data In Drug Discoverymentioning

confidence: 99%

Bioinformatics and Drug Discovery

Xia

2017

CTMC

172

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Bioinformatic analysis can not only accelerate drug target identification and drug candidate screening and refinement, but also facilitate characterization of side effects and predict drug resistance. High-throughput data such as genomic, epigenetic, genome architecture, cistromic, transcriptomic, proteomic, and ribosome profiling data have all made significant contribution to mechanism-based drug discovery and drug repurposing. Accumulation of protein and RNA structures, as well as development of homology modeling and protein structure simulation, coupled with large structure databases of small molecules and metabolites, paved the way for more realistic protein-ligand docking experiments and more informative virtual screening. I present the conceptual framework that drives the collection of these high-throughput data, summarize the utility and potential of mining these data in drug discovery, outline a few inherent limitations in data and software mining these data, point out news ways to refine analysis of these diverse types of data, and highlight commonly used software and databases relevant to drug discovery.

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“…Galactofuranose (Gal f ) is an important constituent on the cell surface of a variety of bacterial pathogens [47,48], and its synthesis requires UDPgalactopyranose mutase (UGM). Because Gal f is absent in human [44], UGM has been used as a desirable drug target [49]. UGM coded by gene GLF was later found in several eukaryotic unicellular pathogens [50] as well as in nematodes [51].…”

Section: Human Diseases Caused By Pathogensmentioning

confidence: 99%

Bioinformatics and Drug Discovery

Larson¹

2012

Methods in Molecular Biology

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Bioinformatic analysis can not only accelerate drug target identification and drug candidate screening and refinement, but also facilitate characterization of side effects and predict drug resistance. High-throughput data such as genomic, epigenetic, genome architecture, cistromic, transcriptomic, proteomic, and ribosome profiling data have all made significant contribution to mechanismbased drug discovery and drug repurposing. Accumulation of protein and RNA structures, as well as development of homology modeling and protein structure simulation, coupled with large structure databases of small molecules and metabolites, paved the way for more realistic protein-ligand docking experiments and more informative virtual screening. I present the conceptual framework that drives the collection of these high-throughput data, summarize the utility and potential of mining these data in drug discovery, outline a few inherent limitations in data and software mining these data, point out news ways to refine analysis of these diverse types of data, and highlight commonly used software and databases relevant to drug discovery.

show abstract

Identification of glutamate ABC-Transporter component in Clostridium perfringens as a putative drug target

Cited by 16 publications

References 21 publications

In silico identification of vaccine and drug targets for Corynebacterium ulcerans and the recently described C. silvaticum

In silico identification of vaccine and drug targets for Corynebacterium ulcerans and the recently described C. silvaticum

Bioinformatics and Drug Discovery

Bioinformatics and Drug Discovery

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