Literature DB >> 30925009

Fast NMR Methods for Measuring in the Direct and/or Competition Mode the Dissociation Constants of Chemical Fragments Interacting with a Receptor.

Claudio Dalvit1, Annick Parent2, Francois Vallée2, Magali Mathieu2, Alexey Rak2.   

Abstract

Ligand-based NMR screening represents a powerful method in fragment-based drug discovery for the identification of chemical matter interacting with the receptor of interest. The large dynamic range of these methods allows the detection of weakly binding ligands. However, the methodology has not been extensively used for quantifying the strength of these interactions. This knowledge is important for ranking fragments according to their binding strength and for prioritizing structure-based and medicinal chemistry activities. Rapid NMR methods for measuring the dissociation constant in direct and competition modes are presented here. The theory underpinning these methods are presented, along with their application to the measurement of the binding affinities of several ligands of the heat shock protein 90.
© 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  NMR spectroscopy; dissociation constant determination; fragment-based drug discovery; heat shock protein 90; host-guest interactions

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Year:  2019        PMID: 30925009     DOI: 10.1002/cmdc.201900152

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  2 in total

Review 1.  Metal Chelation Therapy and Parkinson's Disease: A Critical Review on the Thermodynamics of Complex Formation between Relevant Metal Ions and Promising or Established Drugs.

Authors:  Marianna Tosato; Valerio Di Marco
Journal:  Biomolecules       Date:  2019-07-09

2.  Determination of intracellular protein-ligand binding affinity by competition binding in-cell NMR.

Authors:  Enrico Luchinat; Letizia Barbieri; Matteo Cremonini; Matteo Pennestri; Alessio Nocentini; Claudiu T Supuran; Lucia Banci
Journal:  Acta Crystallogr D Struct Biol       Date:  2021-09-27       Impact factor: 7.652

  2 in total

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