Evidence map›Paper›PMID 41282418›Full record

ArticleComputational and structural biotechnology journal2025

Nucleotide asymmetry and flexible linker dynamics modulate drug efflux cycle of P-glycoprotein, A computational study.

Sungho B Han, Jim Warwicker, Hao Fan, Stephen M Prince

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sungho B HanSchool of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Rd, Manchester M13 9PL, United Kingdom.
Jim WarwickerSchool of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Rd, Manchester M13 9PL, United Kingdom.
Hao FanBioinformatics Institute (BII), Agency for Science, Technology and Research (A⁎STAR), 30 Biopolis Street #07-01 Matrix, Singapore 138671, Singapore.
Stephen M PrinceSchool of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Rd, Manchester M13 9PL, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advancements in oncology, multidrug resistance (MDR) mediated by P-glycoprotein (P-gp/ABCB1) remains a major barrier to chemotherapy. P-gp is an ATP-binding cassette transporter that undergoes nucleotide-driven structural rearrangements to efflux chemotherapeutics, but the mechanistic details of the substrate transport remain poorly resolved. Here, we performed high-throughput multi-replica molecular dynamics to simulate P-gp in a lipid bilayer (totaling ∼110 µs) to dissect nucleotide-dependent conformational changes across the transport cycle. Our adaptive sampling strategy reveals asymmetric nucleotide coordination at nucleotide-binding sites (NBS), which correlates with transmembrane domain (TMD) restructuring for substrate efflux. The experimentally unresolved flexible linker transiently forms up to five turns of α-helix that affects the nucleotide binding domain (NBD) dimerization process. We identified conformation-dependent substrate/allocrite pathways including nucleotide-specific access routes, while TMD-linker interaction facilitates substrate access tunnel formation. Together, these pathways reveal that the concerted interplay of nucleotide occupancy, linker dynamics, and overall protein conformation governs the structural plasticity and broad substrate promiscuity of the substrate binding cavity in P-gp. By integrating these findings, this work bridges static structural data with dynamic functional insights to further our understanding of the P-gp substrate translocation cycle.

Indexed as

Ligand tunnelsMolecular dynamicsP-glycoproteinProtein dynamicsProtein-nucleotide interactions

Identifiers

PMID41282418
PMCPMC12636386

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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.