Literature DB >> 31741402

Thermodynamic profiling for fragment-based lead discovery and optimization.

György G Ferenczy1, György M Keserű1.   

Abstract

Introduction: The enthalpic and entropic components of the ligand-protein binding free energy reflect the type and quality of the interactions and relate to the physicochemical properties of the ligands. These findings have significance in medicinal chemistry optimizations since they suggest that the thermodynamic profiling of the binding may help monitor and control the unfavorable size and hydrophobicity increase typically accompanying affinity improvements and leading to suboptimal pharmacokinetic properties.Areas covered: This review describes the ligand-protein binding event in terms of elementary steps, their associated interactions, and their enthalpic and entropic consequences. The relationships among the breaking and forming interactions, the binding thermodynamic profile, and the physicochemical properties of the ligands are also discussed.Expert opinion: Analysis of the size dependence of available affinity and favorable enthalpy highlights the limitation of the simultaneous optimization of these quantities. Indeed, moderate, rather than very high affinities can be conciliated with favorable physicochemical and pharmacokinetic profiles as it is supported by the affinity range of historical oral drugs. Although thermodynamic quantities are not suitable endpoints for medicinal chemistry optimizations owing to the complexity of the binding thermodynamics, thermodynamic profiling together with structural studies can be advantageously used to understand the details of the binding process and to optimize it.

Entities:  

Keywords:  Binding thermodynamics; enthalpy driven optimization; entropy driven optimization; fragment binding; fragment optimization

Year:  2019        PMID: 31741402     DOI: 10.1080/17460441.2020.1691166

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  3 in total

1.  Fragment Binding to the Nsp3 Macrodomain of SARS-CoV-2 Identified Through Crystallographic Screening and Computational Docking.

Authors:  Marion Schuller; Galen J Correy; Stefan Gahbauer; Daren Fearon; Taiasean Wu; Roberto Efraín Díaz; Iris D Young; Luan Carvalho Martins; Dominique H Smith; Ursula Schulze-Gahmen; Tristan W Owens; Ishan Deshpande; Gregory E Merz; Aye C Thwin; Justin T Biel; Jessica K Peters; Michelle Moritz; Nadia Herrera; Huong T Kratochvil; Anthony Aimon; James M Bennett; Jose Brandao Neto; Aina E Cohen; Alexandre Dias; Alice Douangamath; Louise Dunnett; Oleg Fedorov; Matteo P Ferla; Martin Fuchs; Tyler J Gorrie-Stone; James M Holton; Michael G Johnson; Tobias Krojer; George Meigs; Ailsa J Powell; Victor L Rangel; Silvia Russi; Rachael E Skyner; Clyde A Smith; Alexei S Soares; Jennifer L Wierman; Kang Zhu; Natalia Jura; Alan Ashworth; John Irwin; Michael C Thompson; Jason E Gestwicki; Frank von Delft; Brian K Shoichet; James S Fraser; Ivan Ahel
Journal:  bioRxiv       Date:  2020-11-24

2.  A New Spectral Shift-Based Method to Characterize Molecular Interactions.

Authors:  Andreas Langer; Tanja Bartoschik; Ondrej Cehlar; Stefan Duhr; Philipp Baaske; Werner Streicher
Journal:  Assay Drug Dev Technol       Date:  2022-02-15       Impact factor: 1.738

3.  Exploring protein hotspots by optimized fragment pharmacophores.

Authors:  Dávid Bajusz; Warren S Wade; Grzegorz Satała; Andrzej J Bojarski; Janez Ilaš; Jessica Ebner; Florian Grebien; Henrietta Papp; Ferenc Jakab; Alice Douangamath; Daren Fearon; Frank von Delft; Marion Schuller; Ivan Ahel; Amanda Wakefield; Sándor Vajda; János Gerencsér; Péter Pallai; György M Keserű
Journal:  Nat Commun       Date:  2021-05-27       Impact factor: 14.919

  3 in total

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