ArticlePloS one2017
An integrative in-silico approach for therapeutic target identification in the human pathogen Corynebacterium diphtheriae.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 38 citations in OpenAlex.
- A proteome-driven strategy to discover novel therapeutic targets in Orientia tsutsugamushi.Antonie van Leeuwenhoek · 2026Article
- Risk Factors and Antibiotic Utilization Patterns in Multidrug-Resistant Surgical Infections: A Retrospective Study From a Romanian Tertiary-Care Center.International journal of microbiology · 2026Article
- An integrated in-silico approach for drug target identification in human pathogen Shigella dysenteriae.PloS one · 2024Article
- Designing a multi-epitope vaccine againstFrontiers in genetics · 2024Article
- Proteomics of Toxigenic Corynebacteria.Proteomes · 2023Review
- Subtractive sequence analysis aided druggable targets mining in Burkholderia cepacia complex and finding inhibitors through bioinformatics approach.Molecular diversity · 2023Article
- Genomic landscape of the emerging XDR Salmonella Typhi for mining druggable targets clpP, hisH, folP and gpmI and screening of novel TCM inhibitors, molecular docking and simulation analyses.BMC microbiology · 2023Article
- Attenuation of Scopolamine-Induced Amnesia via Cholinergic Modulation in Mice by Synthetic Curcumin Analogs.Molecules (Basel, Switzerland) · 2022Article
- Proteome based mapping and molecular docking revealed DnaA as a potential drug target againstSaudi journal of biological sciences · 2022Article
- Neuroprotective Potential of Synthetic Mono-Carbonyl Curcumin Analogs Assessed by Molecular Docking Studies.Molecules (Basel, Switzerland) · 2021Article
- Reverse vaccinology and subtractive genomics approaches for identifying common therapeutics againstThe journal of venomous animals and toxins including tropical diseases · 2021Article
- Article
- An Integrated Database of Small RNAs and Their Interplay With Transcriptional Gene Regulatory Networks in Corynebacteria.Frontiers in microbiology · 2021Article
- Genome-Based Drug Target Identification in Human PathogenFrontiers in genetics · 2021Article
- Article
- Reverse vaccinology and subtractive genomics reveal new therapeutic targets againstRoyal Society open science · 2019Article
- Network-Based Metabolism-Centered Screening of Potential Drug Targets inFrontiers in cellular and infection microbiology · 2019Article
- Putative vaccine candidates and drug targets identified by reverse vaccinology and subtractive genomics approaches to controlJournal of the Royal Society, Interface · 2018Article
- Identification of novel drug targets in bovine respiratory disease: an essential step in applying biotechnologic techniques to develop more effective therapeutic treatments.Drug design, development and therapy · 2018Article
- The Druggable Pocketome ofFrontiers in genetics · 2018Article
Corrections and comments
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Authors and funding
14 authors at 7 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Corynebacterium diphtheriae (Cd) is a Gram-positive human pathogen responsible for diphtheria infection and once regarded for high mortalities worldwide. The fatality gradually decreased with improved living standards and further alleviated when many immunization programs were introduced. However, numerous drug-resistant strains emerged recently that consequently decreased the efficacy of current therapeutics and vaccines, thereby obliging the scientific community to start investigating new therapeutic targets in pathogenic microorganisms. In this study, our contributions include the prediction of modelome of 13 C. diphtheriae strains, using the MHOLline workflow. A set of 463 conserved proteins were identified by combining the results of pangenomics based core-genome and core-modelome analyses. Further, using subtractive proteomics and modelomics approaches for target identification, a set of 23 proteins was selected as essential for the bacteria. Considering human as a host, eight of these proteins (glpX, nusB, rpsH, hisE, smpB, bioB, DIP1084, and DIP0983) were considered as essential and non-host homologs, and have been subjected to virtual screening using four different compound libraries (extracted from the ZINC database, plant-derived natural compounds and Di-terpenoid Iso-steviol derivatives). The proposed ligand molecules showed favorable interactions, lowered energy values and high complementarity with the predicted targets. Our proposed approach expedites the selection of C. diphtheriae putative proteins for broad-spectrum development of novel drugs and vaccines, owing to the fact that some of these targets have already been identified and validated in other organisms.
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