Literature DB >> 26080356

Qgui: A high-throughput interface for automated setup and analysis of free energy calculations and empirical valence bond simulations in biological systems.

Geir Villy Isaksen1, Tor Arne Heim Andberg1, Johan Åqvist2, Bjørn Olav Brandsdal3.   

Abstract

Structural information and activity data has increased rapidly for many protein targets during the last decades. In this paper, we present a high-throughput interface (Qgui) for automated free energy and empirical valence bond (EVB) calculations that use molecular dynamics (MD) simulations for conformational sampling. Applications to ligand binding using both the linear interaction energy (LIE) method and the free energy perturbation (FEP) technique are given using the estrogen receptor (ERα) as a model system. Examples of free energy profiles obtained using the EVB method for the rate-limiting step of the enzymatic reaction catalyzed by trypsin are also shown. In addition, we present calculation of high-precision Arrhenius plots to obtain the thermodynamic activation enthalpy and entropy with Qgui from running a large number of EVB simulations.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Empirical valence bond; Free energies; Free energy perturbation; Linear interaction energy; Molecular dynamics; Q; Thermodynamic activation parameters

Mesh:

Substances:

Year:  2015        PMID: 26080356     DOI: 10.1016/j.jmgm.2015.05.007

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  3 in total

1.  Enzyme surface rigidity tunes the temperature dependence of catalytic rates.

Authors:  Geir Villy Isaksen; Johan Åqvist; Bjørn Olav Brandsdal
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-27       Impact factor: 11.205

2.  Relative binding affinity prediction of farnesoid X receptor in the D3R Grand Challenge 2 using FEP.

Authors:  Christina Schindler; Friedrich Rippmann; Daniel Kuhn
Journal:  J Comput Aided Mol Des       Date:  2017-09-12       Impact factor: 3.686

3.  CADEE: Computer-Aided Directed Evolution of Enzymes.

Authors:  Beat Anton Amrein; Fabian Steffen-Munsberg; Ireneusz Szeler; Miha Purg; Yashraj Kulkarni; Shina Caroline Lynn Kamerlin
Journal:  IUCrJ       Date:  2017-01-01       Impact factor: 4.769

  3 in total

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