Evidence map›Paper›PMID 38647430›Full record

ArticleThe journal of physical chemistry. B2024

Identifying and Assessing Putative Allosteric Sites and Modulators for CXCR4 Predicted through Network Modeling and Site Identification by Ligand Competitive Saturation.

Tugce Inan, Robin Flinko, George K Lewis, Alexander D MacKerell, Ozge Kurkcuoglu

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Article in The journal of physical chemistry. B, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Tugce InanDepartment of Chemical Engineering, Istanbul Technical University, Istanbul 34469, Turkey.
Robin FlinkoInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States.
George K LewisInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States.
Alexander D MacKerellUniversity of Maryland Computer-Aided Drug Design Center, Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland 21201, United States.ORCID 0000-0001-8287-6804
Ozge KurkcuogluDepartment of Chemical Engineering, Istanbul Technical University, Istanbul 34469, Turkey.ORCID 0000-0003-0228-3211

Funding

Structure-Function Analytics CoreP01AI162242 · NIAID · DUKE UNIVERSITY · PI TOMARAS, GEORGIA DORIS · 2021 to 2025
$22.2M
Macromolecular Conformational HeterogeneityR35GM131710 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI ALEXANDER D MACKERELL · 2019 to 2026
$6.2M
NIAID NIH HHS P01 AI162242NIGMS NIH HHS R35 GM131710
6 · The paper itself

Abstract

The chemokine receptor CXCR4 is a critical target for the treatment of several cancer types and HIV-1 infections. While orthosteric and allosteric modulators have been developed targeting its extracellular or transmembrane regions, the intramembrane region of CXCR4 may also include allosteric binding sites suitable for the development of allosteric drugs. To investigate this, we apply the Gaussian Network Model (GNM) to the monomeric and dimeric forms of CXCR4 to identify residues essential for its local and global motions located in the hinge regions of the protein. Residue interaction network (RIN) analysis suggests hub residues that participate in allosteric communication throughout the receptor. Mutual residues from the network models reside in regions with a high capacity to alter receptor dynamics upon ligand binding. We then investigate the druggability of these potential allosteric regions using the site identification by ligand competitive saturation (SILCS) approach, revealing two putative allosteric sites on the monomer and three on the homodimer. Two screening campaigns with Glide and SILCS-Monte Carlo docking using FDA-approved drugs suggest 20 putative hit compounds including antifungal drugs, anticancer agents, HIV protease inhibitors, and antimalarial drugs.

Indexed as

Allosteric SiteReceptors, CXCR4Allosteric RegulationHumansLigandsMolecular Docking SimulationMonte Carlo MethodCXCR4 protein, humanLigandsReceptors, CXCR4

Identifiers

PMID38647430
PMCPMC11139592

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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.