Evidence map›Paper›PMID 38731888›Full record

ArticleInternational journal of molecular sciences2024

Differential Solvent DEEP-STD NMR and MD Simulations Enable the Determinants of the Molecular Recognition of Heparin Oligosaccharides by Antithrombin to Be Disentangled.

Michela Parafioriti, Stefano Elli, Juan C Muñoz-García, Jonathan Ramírez-Cárdenas, Edwin A Yates, Jesús Angulo, Marco Guerrini

Abstract read
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Article in International journal of molecular sciences, 2024. 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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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

7 authors.

Michela ParafioritiIstituto di Ricerche Chimiche e Biochimiche "G. Ronzoni", Via Giuseppe Colombo 81, 20133 Milano, Italy.
Stefano ElliIstituto di Ricerche Chimiche e Biochimiche "G. Ronzoni", Via Giuseppe Colombo 81, 20133 Milano, Italy.ORCID 0000-0003-0686-2480
Juan C Muñoz-GarcíaInstituto de Investigationes Químicas (IIQ)-Consejo Superior de Investigaciones Científicas (CSIC), Avenida Americo Vespucio 49, 41092 Sevilla, Spain.ORCID 0000-0003-2246-3236
Jonathan Ramírez-CárdenasInstituto de Investigationes Químicas (IIQ)-Consejo Superior de Investigaciones Científicas (CSIC), Avenida Americo Vespucio 49, 41092 Sevilla, Spain.
Edwin A YatesDepartment of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Jesús AnguloInstituto de Investigationes Químicas (IIQ)-Consejo Superior de Investigaciones Científicas (CSIC), Avenida Americo Vespucio 49, 41092 Sevilla, Spain.ORCID 0000-0001-7250-5639
Marco GuerriniIstituto di Ricerche Chimiche e Biochimiche "G. Ronzoni", Via Giuseppe Colombo 81, 20133 Milano, Italy.

Funding

G Ronzoni FoundationMinisterio de Ciencia e Innovación AEI/10.13039/501100011033
6 · The paper itself

Abstract

The interaction of heparin with antithrombin (AT) involves a specific sequence corresponding to the pentasaccharide GlcNAc/NS6S-GlcA-GlcNS3S6S-IdoA2S-GlcNS6S (AGA*IA). Recent studies have revealed that two AGA*IA-containing hexasaccharides, which differ in the sulfation degree of the iduronic acid unit, exhibit similar binding to AT, albeit with different affinities. However, the lack of experimental data concerning the molecular contacts between these ligands and the amino acids within the protein-binding site prevents a detailed description of the complexes. Differential epitope mapping (DEEP)-STD NMR, in combination with MD simulations, enables the experimental observation and comparison of two heparin pentasaccharides interacting with AT, revealing slightly different bound orientations and distinct affinities of both glycans for AT. We demonstrate the effectiveness of the differential solvent DEEP-STD NMR approach in determining the presence of polar residues in the recognition sites of glycosaminoglycan-binding proteins.

Indexed as

AntithrombinsHeparinOligosaccharidesBinding SitesEpitope MappingHumansMagnetic Resonance SpectroscopyMolecular Dynamics SimulationProtein BindingSolventsAntithrombinsHeparinOligosaccharidesSolventsDEEP-STD NMRglycosaminoglycan–protein interactionsligand-based NMRMD simulationsmolecular recognitionradial distribution functionSTD NMR

Identifiers

PMID38731888
PMCPMC11083112

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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.