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      Deciphering Isoniazid Drug Resistance Mechanisms on Dimeric Mycobacterium tuberculosis KatG via Post-molecular Dynamics Analyses Including Combined Dynamic Residue Network Metrics

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          Abstract

          Resistance mutations in Mycobacterium tuberculosis ( Mtb) catalase peroxidase protein (KatG), an essential enzyme in isoniazid (INH) activation, reduce the sensitivity of Mtb to first-line drugs, hence presenting challenges in tuberculosis (TB) management. Thus, understanding the mutational imposed resistance mechanisms remains of utmost importance in the quest to reduce the TB burden. Herein, effects of 11 high confidence mutations in the KatG structure and residue network communication patterns were determined using extensive computational approaches. Combined traditional post-molecular dynamics analysis and comparative essential dynamics revealed that the mutant proteins have significant loop flexibility around the heme binding pocket and enhanced asymmetric protomer behavior with respect to wild-type (WT) protein. Heme contact analysis between WT and mutant proteins identified a reduction to no contact between heme and residue His270, a covalent bond vital for the heme-enabled KatG catalytic activity. Betweenness centrality calculations showed large hub ensembles with new hubs especially around the binding cavity and expanded to the dimerization domain via interface in the mutant systems, providing possible compensatory allosteric communication paths for the active site as a result of the mutations which may destabilize the heme binding pocket and the loops in its vicinity. Additionally, an interesting observation came from Eigencentrality hubs, most of which are located in the C-terminal domain, indicating relevance of the domain in the protease functionality. Overall, our results provide insight toward the mechanisms involved in KatG-INH resistance in addition to identifying key regions in the enzyme functionality, which can be used for future drug design.

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              The Protein Data Bank.

              The Protein Data Bank (PDB; http://www.rcsb.org/pdb/ ) is the single worldwide archive of structural data of biological macromolecules. This paper describes the goals of the PDB, the systems in place for data deposition and access, how to obtain further information, and near-term plans for the future development of the resource.
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                Author and article information

                Journal
                ACS Omega
                ACS Omega
                ao
                acsodf
                ACS Omega
                American Chemical Society
                2470-1343
                07 April 2022
                19 April 2022
                : 7
                : 15
                : 13313-13332
                Affiliations
                [1]Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University , Makhanda 6140 South Africa
                Author notes
                Author information
                https://orcid.org/0000-0002-1275-0891
                https://orcid.org/0000-0001-8906-9482
                https://orcid.org/0000-0001-6861-7849
                Article
                10.1021/acsomega.2c01036
                9025985
                2865d240-d827-4e98-8136-626d28223ecd
                © 2022 The Authors. Published by American Chemical Society

                Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works ( https://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 20 February 2022
                : 22 March 2022
                Funding
                Funded by: U.S. Department of Health and Human Services, doi 10.13039/100000051;
                Award ID: U24HG006941
                Funded by: Styrelsen för Internationellt Utvecklingssamarbete, doi NA;
                Award ID: NA
                Funded by: Drug Discovery and Development Centre, University of Cape Town, doi NA;
                Award ID: NA
                Funded by: Bundesministerium für Bildung und Forschung, doi NA;
                Award ID: NA
                Funded by: African Academy of Sciences, doi 10.13039/501100011858;
                Award ID: GCA/DD/rnd3/023
                Funded by: New Partnership for Africa''s Development, doi 10.13039/501100009250;
                Award ID: NA
                Funded by: Medicines for Malaria Venture, doi 10.13039/501100004167;
                Award ID: NA
                Funded by: Bill and Melinda Gates Foundation, doi 10.13039/100000865;
                Award ID: NA
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                Custom metadata
                ao2c01036
                ao2c01036

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