Literature DB >> 32720098

The role of NMR in leveraging dynamics and entropy in drug design.

Abhinav Dubey1,2, Koh Takeuchi3, Mikhail Reibarkh4, Haribabu Arthanari5,6.   

Abstract

Nuclear magnetic resonance (NMR) spectroscopy has contributed to structure-based drug development (SBDD) in a unique way compared to the other biophysical methods. The potency of a ligand binding to a protein is dictated by the binding free energy, which is an intricate interplay between entropy and enthalpy. In addition to providing the atomic resolution structural information, NMR can help to identify protein-ligand interactions that potentially contribute to the enthalpic component of the free energy. NMR can also illuminate dynamic aspects of the interaction, which correspond to the entropic term of the free energy. The ability of NMR to access both terms in the free energy equation stems from the suite of experiments developed to shed light on various aspects that contribute to both entropy and enthalpy, deepening our understanding of the biological function of macromolecules and assisting to target them in physiological conditions. Here we provide a brief account of the contribution of NMR to SBDD, highlighting hallmark examples and discussing the challenges that demand further method development. In the era of integrated biology, the unique ability of NMR to directly ascertain structural and dynamical aspects of macromolecule and monitor changes in these properties upon engaging a ligand can be combined with computational and other structural and biophysical methods to provide a more complete picture of the energetics of drug engagement with the target. Such efforts can be used to engineer better drugs.

Entities:  

Keywords:  Drug discovery; Enthalpy; Entropy; Free energy; NMR; Protein–ligand interactions; Therapeutics; Thermodynamics

Mesh:

Substances:

Year:  2020        PMID: 32720098      PMCID: PMC7686249          DOI: 10.1007/s10858-020-00335-9

Source DB:  PubMed          Journal:  J Biomol NMR        ISSN: 0925-2738            Impact factor:   2.835


  158 in total

1.  Ligand configurational entropy and protein binding.

Authors:  Chia-en A Chang; Wei Chen; Michael K Gilson
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-22       Impact factor: 11.205

2.  CLIP-HSQMBC: easy measurement of small proton-carbon coupling constants in organic molecules.

Authors:  Josep Saurí; Teodor Parella; Juan F Espinosa
Journal:  Org Biomol Chem       Date:  2013-07-21       Impact factor: 3.876

3.  Design and structure of stapled peptides binding to estrogen receptors.

Authors:  Chris Phillips; Lee R Roberts; Markus Schade; Richard Bazin; Andrew Bent; Nichola L Davies; Rob Moore; Andrew D Pannifer; Andrew R Pickford; Stephen H Prior; Christopher M Read; Andrew Scott; David G Brown; Bin Xu; Stephen L Irving
Journal:  J Am Chem Soc       Date:  2011-06-06       Impact factor: 15.419

Review 4.  Protein-protein recognition.

Authors:  J Janin
Journal:  Prog Biophys Mol Biol       Date:  1995       Impact factor: 3.667

5.  Entropy in molecular recognition by proteins.

Authors:  José A Caro; Kyle W Harpole; Vignesh Kasinath; Jackwee Lim; Jeffrey Granja; Kathleen G Valentine; Kim A Sharp; A Joshua Wand
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-05       Impact factor: 11.205

Review 6.  Electron Cryo-microscopy as a Tool for Structure-Based Drug Development.

Authors:  Felipe Merino; Stefan Raunser
Journal:  Angew Chem Int Ed Engl       Date:  2017-02-06       Impact factor: 15.336

7.  Thermodynamics of hydrogen bonding in hydrophilic and hydrophobic media.

Authors:  David van der Spoel; Paul J van Maaren; Per Larsson; Nicusor Tîmneanu
Journal:  J Phys Chem B       Date:  2006-03-09       Impact factor: 2.991

8.  Atomic-resolution dynamics on the surface of amyloid-β protofibrils probed by solution NMR.

Authors:  Nicolas L Fawzi; Jinfa Ying; Rodolfo Ghirlando; Dennis A Torchia; G Marius Clore
Journal:  Nature       Date:  2011-10-30       Impact factor: 49.962

9.  Drug design from the cryptic inhibitor envelope.

Authors:  Chul-Jin Lee; Xiaofei Liang; Qinglin Wu; Javaria Najeeb; Jinshi Zhao; Ramesh Gopalaswamy; Marie Titecat; Florent Sebbane; Nadine Lemaitre; Eric J Toone; Pei Zhou
Journal:  Nat Commun       Date:  2016-02-25       Impact factor: 14.919

10.  DeepDTA: deep drug-target binding affinity prediction.

Authors:  Hakime Öztürk; Arzucan Özgür; Elif Ozkirimli
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

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  1 in total

Review 1.  The dynamic nature of the Mre11-Rad50 DNA break repair complex.

Authors:  Mahtab Beikzadeh; Michael P Latham
Journal:  Prog Biophys Mol Biol       Date:  2020-10-24       Impact factor: 4.799

  1 in total

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