Literature DB >> 26892689

Dynamical Network of HIV-1 Protease Mutants Reveals the Mechanism of Drug Resistance and Unhindered Activity.

Rajeswari Appadurai1, Sanjib Senapati1.   

Abstract

HIV-1 protease variants resist drugs by active and non-active-site mutations. The active-site mutations, which are the primary or first set of mutations, hamper the stability of the enzyme and resist the drugs minimally. As a result, secondary mutations that not only increase protein stability for unhindered catalytic activity but also resist drugs very effectively arise. While the mechanism of drug resistance of the active-site mutations is through modulating the active-site pocket volume, the mechanism of drug resistance of the non-active-site mutations is unclear. Moreover, how these allosteric mutations, which are 8-21 Å distant, communicate to the active site for drug efflux is completely unexplored. Results from molecular dynamics simulations suggest that the primary mechanism of drug resistance of the secondary mutations involves opening of the flexible protease flaps. Results from both residue- and community-based network analyses reveal that this precise action of protease is accomplished by the presence of robust communication paths between the mutational sites and the functionally relevant regions: active site and flaps. While the communication is more direct in the wild type, it traverses across multiple intermediate residues in mutants, leading to weak signaling and unregulated motions of flaps. The global integrity of the protease network is, however, maintained through the neighboring residues, which exhibit high degrees of conservation, consistent with clinical data and mutagenesis studies.

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Year:  2016        PMID: 26892689     DOI: 10.1021/acs.biochem.5b00946

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  8 in total

1.  Eigenvector centrality for characterization of protein allosteric pathways.

Authors:  Christian F A Negre; Uriel N Morzan; Heidi P Hendrickson; Rhitankar Pal; George P Lisi; J Patrick Loria; Ivan Rivalta; Junming Ho; Victor S Batista
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-10       Impact factor: 11.205

2.  Elucidating the Interdependence of Drug Resistance from Combinations of Mutations.

Authors:  Debra A Ragland; Troy W Whitfield; Sook-Kyung Lee; Ronald Swanstrom; Konstantin B Zeldovich; Nese Kurt-Yilmaz; Celia A Schiffer
Journal:  J Chem Theory Comput       Date:  2017-10-09       Impact factor: 6.006

3.  Disulfide Reduction Allosterically Destabilizes the β-Ladder Subdomain Assembly within the NS1 Dimer of ZIKV.

Authors:  Priti Roy; Subhajit Roy; Neelanjana Sengupta
Journal:  Biophys J       Date:  2020-09-06       Impact factor: 4.033

4.  Structural analyses of 2015-updated drug-resistant mutations in HIV-1 protease: an implication of protease inhibitor cross-resistance.

Authors:  Chinh Tran-To Su; Wei-Li Ling; Wai-Heng Lua; Yu-Xuan Haw; Samuel Ken-En Gan
Journal:  BMC Bioinformatics       Date:  2016-12-22       Impact factor: 3.169

Review 5.  Reviewing HIV-1 Gag Mutations in Protease Inhibitors Resistance: Insights for Possible Novel Gag Inhibitor Designs.

Authors:  Chinh Tran-To Su; Darius Wen-Shuo Koh; Samuel Ken-En Gan
Journal:  Molecules       Date:  2019-09-06       Impact factor: 4.411

6.  Combining Molecular Dynamic Information and an Aspherical-Atom Data Bank in the Evaluation of the Electrostatic Interaction Energy in Multimeric Protein-Ligand Complex: A Case Study for HIV-1 Protease.

Authors:  Prashant Kumar; Paulina Maria Dominiak
Journal:  Molecules       Date:  2021-06-24       Impact factor: 4.411

Review 7.  Biophysical and computational methods to analyze amino acid interaction networks in proteins.

Authors:  Kathleen F O'Rourke; Scott D Gorman; David D Boehr
Journal:  Comput Struct Biotechnol J       Date:  2016-06-22       Impact factor: 7.271

Review 8.  The Determination of HIV-1 RT Mutation Rate, Its Possible Allosteric Effects, and Its Implications on Drug Resistance.

Authors:  Joshua Yi Yeo; Ghin-Ray Goh; Chinh Tran-To Su; Samuel Ken-En Gan
Journal:  Viruses       Date:  2020-03-09       Impact factor: 5.048

  8 in total

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