Investigation of protein-ligand complexes by ligand-based NMR methods.

3D structure Glycan-protein interaction NMR spectroscopy NOE STD NMR

Journal

Carbohydrate research
ISSN: 1873-426X
Titre abrégé: Carbohydr Res
Pays: Netherlands
ID NLM: 0043535

Informations de publication

Date de publication:
May 2021
Historique:
received: 27 01 2021
revised: 31 03 2021
accepted: 06 04 2021
pubmed: 18 4 2021
medline: 27 10 2021
entrez: 17 4 2021
Statut: ppublish

Résumé

Molecular recognition is at the base of all biological events and its knowledge at atomic level is pivotal in the development of new drug design approaches. NMR spectroscopy is one of the most widely used technique to detect and characterize transient ligand-receptor interactions in solution. In particular, ligand-based NMR approaches, including NOE-based NMR techniques, diffusion experiments and relaxation methods, are excellent tools to investigate how ligands interact with their receptors. Here we describe the key structural information that can be achieved on binding processes thanks to the combined used of advanced NMR and computational methods. Saturation Transfer Difference NMR (STD-NMR), WaterLOGSY, diffusion- and relaxation-based experiments, together with tr-NOE techniques allow, indeed, to investigate the ligand behavior when bound to a receptor, determining, among others, the epitope map of the ligand and its bioactive conformation. The combination of these NMR techniques with computational methods, including docking, molecular dynamics and CORCEMA-ST analysis, permits to define and validate an accurate 3D model of protein-ligand complexes.

Identifiants

pubmed: 33865181
pii: S0008-6215(21)00082-3
doi: 10.1016/j.carres.2021.108313
pii:
doi:

Substances chimiques

Ligands 0
Proteins 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

108313

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Cristina Di Carluccio (C)

Dipartimento di Scienze Chimiche, Complesso Universitario Monte Sant'Angelo, Università di Napoli Federico II, Via Cintia 4, I-80126, Napoli, Italy.

Maria Concetta Forgione (MC)

Dipartimento di Scienze Chimiche, Complesso Universitario Monte Sant'Angelo, Università di Napoli Federico II, Via Cintia 4, I-80126, Napoli, Italy; GSK, Via Fiorentina 1, 53100, Siena, Italy.

Silvia Martini (S)

GSK, Via Fiorentina 1, 53100, Siena, Italy.

Francesco Berti (F)

GSK, Via Fiorentina 1, 53100, Siena, Italy.

Antonio Molinaro (A)

Dipartimento di Scienze Chimiche, Complesso Universitario Monte Sant'Angelo, Università di Napoli Federico II, Via Cintia 4, I-80126, Napoli, Italy.

Roberta Marchetti (R)

Dipartimento di Scienze Chimiche, Complesso Universitario Monte Sant'Angelo, Università di Napoli Federico II, Via Cintia 4, I-80126, Napoli, Italy. Electronic address: roberta.marchetti@unina.it.

Alba Silipo (A)

Dipartimento di Scienze Chimiche, Complesso Universitario Monte Sant'Angelo, Università di Napoli Federico II, Via Cintia 4, I-80126, Napoli, Italy; CNR, Institute for Polymers, Composites and Biomaterials, IPCB ss, Catania, Italy. Electronic address: silipo@unina.it.

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Classifications MeSH