Literature DB >> 24858254

Using thermodynamic integration MD simulation to compute relative protein-ligand binding free energy of a GSK3β kinase inhibitor and its analogs.

Hsing-Chou Lee1, Wen-Chi Hsu1, An-Lun Liu1, Chia-Jen Hsu1, Ying-Chieh Sun2.   

Abstract

Thermodynamic integration molecular dynamics simulation was used to investigate how TI-MD simulation preforms in reproducing relative protein-ligand binding free energy of a pair of analogous GSK3β kinase inhibitors of available experimental data (see Fig. 1), and to predict the affinity for other analogs. The computation for the pair gave a ΔΔG of 1.0 kcal/mol, which was in reasonably good agreement with the experimental value of -0.1 kcal/mol. The error bar was estimated at 0.5 kcal/mol. Subsequently, we employed the same protocol to proceed with simulations to find analogous inhibitors with a stronger affinity. Four analogs with a substitution at one site inside the binding pocket were the first to be tried, but no significant enhancement in affinity was found. Subsequent simulations for another 7 analogs was focused on substitutions at the benzene ring of another site, which gave two analogs (analogs 9 and 10) with ΔΔG values of -0.6 and -0.8 kcal/mol, respectively. Both analogs had a OH group at the meta position and another OH group at the ortho position at the other side of the benzene ring, as shown in Table 3. To explore further, another 4 analogs with this characteristic were investigated. Three analogs with ΔΔG values of -2.2, -1.7 and -1.2 kcal/mol, respectively, were found. Hydrogen bond analysis suggested that the additional hydrogen bonds of the added OH groups with Gln185 and/or Asn64, which did not appear in the reference inhibitor or as an analog with one substitution only in the examined cases, were the main contributors to an enhanced affinity. A prediction for better inhibitors should interest experimentalists of enzyme and/or cell assays. Analysis of the interactions between GSK3β kinase and the investigated analogs will be useful in the design of GSK3β kinase inhibitors for compounds of this class.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  GSK3β kinase; Inhibitor; MD simulation; Relative binding free energy; Thermodynamic integration

Mesh:

Substances:

Year:  2014        PMID: 24858254     DOI: 10.1016/j.jmgm.2014.04.010

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


  8 in total

1.  Investigation of differences in the binding affinities of two analogous ligands for untagged and tagged p38 kinase using thermodynamic integration MD simulation.

Authors:  Ying-Chieh Sun; Wen-Chi Hsu; Chia-Jen Hsu; Chia-Ming Chang; Kai-Hsiang Cheng
Journal:  J Mol Model       Date:  2015-10-08       Impact factor: 1.810

2.  Exploring pH Dependent Host/Guest Binding Affinities.

Authors:  Thomas J Paul; Jonah Z Vilseck; Ryan L Hayes; Charles L Brooks
Journal:  J Phys Chem B       Date:  2020-07-22       Impact factor: 2.991

3.  Rapid and accurate structure-based therapeutic peptide design using GPU accelerated thermodynamic integration.

Authors:  Michael Garton; Carles Corbi-Verge; Yuan Hu; Satra Nim; Nadya Tarasova; Brad Sherborne; Philip M Kim
Journal:  Proteins       Date:  2019-01-04

4.  Screening cyclooxygenase-2 inhibitors from Allium sativum L. compounds: in silico approach.

Authors:  Morteza Sadeghi; Mehran Miroliaei; Fatemeh Fateminasab; Mohammad Moradi
Journal:  J Mol Model       Date:  2021-12-30       Impact factor: 1.810

5.  Dynamics of metal binding and mutation in yybP-ykoY riboswitch of Lactococcus lactis.

Authors:  Mazhar Iqbal; Syed Tarique Moin
Journal:  RSC Adv       Date:  2022-06-13       Impact factor: 4.036

6.  Characterization of the Interaction between Gallic Acid and Lysozyme by Molecular Dynamics Simulation and Optical Spectroscopy.

Authors:  Minzhong Zhan; Ming Guo; Yanke Jiang; Xiaomeng Wang
Journal:  Int J Mol Sci       Date:  2015-07-01       Impact factor: 5.923

7.  Sunscreen Ingredient Octocrylene's Potency to Disrupt Vitamin D Synthesis.

Authors:  Sayed Aliul Hasan Abdi; Amena Ali; Shabihul Fatma Sayed; Sumathi Nagarajan; Prawez Alam; Abuzer Ali
Journal:  Int J Mol Sci       Date:  2022-09-05       Impact factor: 6.208

8.  A computational approach for designing D-proteins with non-canonical amino acid optimised binding affinity.

Authors:  Michael Garton; Maryam Sayadi; Philip M Kim
Journal:  PLoS One       Date:  2017-11-06       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.