Literature DB >> 28252841

Water-Restructuring Mutations Can Reverse the Thermodynamic Signature of Ligand Binding to Human Carbonic Anhydrase.

Jerome M Fox1, Kyungtae Kang1, Madhavi Sastry2, Woody Sherman3, Banumathi Sankaran4, Peter H Zwart4, George M Whitesides1.   

Abstract

This study uses mutants of human carbonic anhydrase (HCAII) to examine how changes in the organization of water within a binding pocket can alter the thermodynamics of protein-ligand association. Results from calorimetric, crystallographic, and theoretical analyses suggest that most mutations strengthen networks of water-mediated hydrogen bonds and reduce binding affinity by increasing the enthalpic cost and, to a lesser extent, the entropic benefit of rearranging those networks during binding. The organization of water within a binding pocket can thus determine whether the hydrophobic interactions in which it engages are enthalpy-driven or entropy-driven. Our findings highlight a possible asymmetry in protein-ligand association by suggesting that, within the confines of the binding pocket of HCAII, binding events associated with enthalpically favorable rearrangements of water are stronger than those associated with entropically favorable ones.
© 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  enthalpy-entropy compensation; hydrophobic effects; mutational analysis; protein-ligand interactions

Mesh:

Substances:

Year:  2017        PMID: 28252841     DOI: 10.1002/anie.201609409

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  13 in total

1.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

Authors:  Tai-Sung Lee; Bryce K Allen; Timothy J Giese; Zhenyu Guo; Pengfei Li; Charles Lin; T Dwight McGee; David A Pearlman; Brian K Radak; Yujun Tao; Hsu-Chun Tsai; Huafeng Xu; Woody Sherman; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

2.  Solvation Structure and Thermodynamic Mapping (SSTMap): An Open-Source, Flexible Package for the Analysis of Water in Molecular Dynamics Trajectories.

Authors:  Kamran Haider; Anthony Cruz; Steven Ramsey; Michael K Gilson; Tom Kurtzman
Journal:  J Chem Theory Comput       Date:  2017-12-08       Impact factor: 6.006

3.  Crystal structure correlations with the intrinsic thermodynamics of human carbonic anhydrase inhibitor binding.

Authors:  Alexey Smirnov; Asta Zubrienė; Elena Manakova; Saulius Gražulis; Daumantas Matulis
Journal:  PeerJ       Date:  2018-02-26       Impact factor: 2.984

4.  In Silico Studies of Small Molecule Interactions with Enzymes Reveal Aspects of Catalytic Function.

Authors:  Rajni Verma; Katie Mitchell-Koch
Journal:  Catalysts       Date:  2017-07-14       Impact factor: 4.146

5.  Exploring Solanum tuberosum Epoxide Hydrolase Internal Architecture by Water Molecules Tracking.

Authors:  Karolina Mitusińska; Tomasz Magdziarz; Maria Bzówka; Agnieszka Stańczak; Artur Gora
Journal:  Biomolecules       Date:  2018-11-12

Review 6.  Melting Down Protein Stability: PAPS Synthase 2 in Patients and in a Cellular Environment.

Authors:  Oliver Brylski; Simon Ebbinghaus; Jonathan W Mueller
Journal:  Front Mol Biosci       Date:  2019-05-03

7.  Abietane-Type Diterpenoids Inhibit Protein Tyrosine Phosphatases by Stabilizing an Inactive Enzyme Conformation.

Authors:  Michael K Hjortness; Laura Riccardi; Akarawin Hongdusit; Sophia Ruppe; Mengxia Zhao; Edward Y Kim; Peter H Zwart; Banumathi Sankaran; Haribabu Arthanari; Marcelo C Sousa; Marco De Vivo; Jerome M Fox
Journal:  Biochemistry       Date:  2018-09-14       Impact factor: 3.162

8.  Ligand design by targeting a binding site water.

Authors:  Pierre Matricon; R Rama Suresh; Zhan-Guo Gao; Nicolas Panel; Kenneth A Jacobson; Jens Carlsson
Journal:  Chem Sci       Date:  2020-11-19       Impact factor: 9.825

9.  Molecular mechanism of substrate selectivity of the arginine-agmatine Antiporter AdiC.

Authors:  Eva-Maria Krammer; Andrew Gibbons; Goedele Roos; Martine Prévost
Journal:  Sci Rep       Date:  2018-10-23       Impact factor: 4.379

10.  Predicting Protein-Polymer Block Copolymer Self-Assembly from Protein Properties.

Authors:  Aaron Huang; Justin M Paloni; Amy Wang; Allie C Obermeyer; Hursh V Sureka; Helen Yao; Bradley D Olsen
Journal:  Biomacromolecules       Date:  2019-09-10       Impact factor: 6.988

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.