Computational modeling and bioinformatic analyses of functional mutations in drug target genes in Mycobacterium tuberculosis-Reference-Cited by-同舟云学术

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Computational modeling and bioinformatic analyses of functional mutations in drug target genes in Mycobacterium tuberculosis

Published:2021 Issue: Volume:19 Page:2423-2446
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Singh Pooja,Jamal Salma,Ahmed Faraz,Saqib Najumu,Mehra Seema,Ali Waseem,Roy Deodutta,Ehtesham Nasreen Z.,Hasnain Seyed E.

Funder

Department of Biotechnology, Ministry of Science and Technology, India

Ministry of Science and Technology, Taiwan

Department of Health Research, India

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference138 articles.

1. Pathogeny of archaic mycobacteria at the emergence of urban life in Egypt (3400 BC);Crubézy;Infect Genet Evol,2006

2. Organization WH (2020) Global tuberculosis report 2020: executive summary.

3. Programmatic versus personalised approaches to managing the global epidemic of multidrug-resistant tuberculosis;Chakaya;Lancet Respir Med,2020

4. Comparative analyses of nonpathogenic, opportunistic, and totally pathogenic mycobacteria reveal genomic and biochemical variabilities and highlight the survival attributes of Mycobacterium tuberculosis;Rahman;mBio,2014

5. Genomic fluidity and pathogenic bacteria: applications in diagnostics, epidemiology and intervention;Ahmed;Nat Rev Microbiol,2008

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1. Genome and transcriptomic analysis of the adaptation of Escherichia coli to environmental stresses;Computational and Structural Biotechnology Journal;2024-12

2. Universal Lineage-Independent Markers of Multidrug Resistance in Mycobacterium tuberculosis;Microorganisms;2024-06-30

3. Targeting of essential mycobacterial replication enzyme DnaG primase revealed Mitoxantrone and Vapreotide as novel mycobacterial growth inhibitors.;Molecular Informatics;2023-12-20

4. Clustering minimal inhibitory concentration data through Bayesian mixture models: An application to detect Mycobacterium tuberculosis resistance mutations;Statistical Methods in Medical Research;2023-11-03

5. Polypharmacological repurposing approach identifies approved drugs as potential inhibitors of Mycobacterium tuberculosis;Biochemical Journal;2023-07-17

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