Evidence map›Paper›PMID 39291929›Full record

ArticleProtein science : a publication of the Protein Society2024

Inhibitor binding and disruption of coupled motions in MmpL3 protein: Unraveling the mechanism of trehalose monomycolate transport.

Likun Zhao, Bo Liu, Henry H Y Tong, Xiaojun Yao, Huanxiang Liu, Qianqian Zhang

Abstract read
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Article in Protein science : a publication of the Protein Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Likun ZhaoCentre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.ORCID 0000-0003-3817-2329
Bo LiuCentre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.
Henry H Y TongCentre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.
Xiaojun YaoCentre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.
Huanxiang LiuCentre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.
Qianqian ZhangCentre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.ORCID 0000-0002-4422-4968

Funding

Macao Polytechnic University RP/FCA-11/2023Macao Science and Technology Development Fund 0043/2023/AFJ
6 · The paper itself

Abstract

Mycobacterial membrane protein Large 3 (MmpL3) of Mycobacterium tuberculosis (Mtb) is crucial for the translocation of trehalose monomycolate (TMM) across the inner bacterial cell membrane, making it a promising target for anti-tuberculosis (TB) drug development. While several structural, microbiological, and in vitro studies have provided significant insights, the precise mechanisms underlying TMM transport by MmpL3 and its inhibition remain incompletely understood at the atomic level. In this study, molecular dynamic (MD) simulations for the apo form and seven inhibitor-bound forms of Mtb MmpL3 were carried out to obtain a thorough comprehension of the protein's dynamics and function. MD simulations revealed that the seven inhibitors in this work stably bind to the central channel of the transmembrane domain and primarily forming hydrogen bonds with ASP251, ASP640, or both residues. Through dynamical cross-correlation matrix and principal component analysis analyses, several types of coupled motions between different domains were observed in the apo state, and distinct conformational states were identified using Markov state model analysis. These coupled motions and varied conformational states likely contribute to the transport of TMM. However, simulations of inhibitor-bound MmpL3 showed an enlargement of the proton channel, potentially disrupting coupled motions. This indicates that inhibitors may impair MmpL3's transport function by directly blocking the proton channel, thereby hindering coordinated domain movements and indirectly affecting TMM translocation.

Indexed as

Bacterial ProteinsMolecular Dynamics SimulationMycobacterium tuberculosisBiological TransportCord FactorsMembrane Transport ProteinsProtein BindingTrehaloseBacterial ProteinsCord FactorsMembrane Transport ProteinsMmpL3 protein, Mycobacterium tuberculosisTrehalosetrehalose monomycolatehomology modelinginhibition mechanisminhibitormolecular dynamic simulationmycobacterial membrane protein Large 3Mycobacterium tuberculosistransport mechanismtrehalose monomycolate

Identifiers

PMID39291929
PMCPMC11409367

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.