Literature DB >> 21374633

A challenging system: free energy prediction for factor Xa.

Hannes G Wallnoefer1, Klaus R Liedl, Thomas Fox.   

Abstract

Factor Xa (fXa) is a promising target for antithrombotic drugs. Recently, we presented a molecular dynamics study on fXa, which highlighted the need for a careful system setup to obtain stable simulations. Here, we show that these simulations can be used to predict the free energy of binding of several fXa inhibitors. We tested molecular mechanics/Poisson-Boltzmann surface area, molecular mechanics/Generalized Born surface area, and linear interaction energy (LIE) on a small data set of fXa ligands. The continuum solvent approaches only yield satisfying correlations to the experimental results if some of the water molecules are explicitly included in the free energy calculations. LIE gave reasonable results if a sufficiently large data set is used. In general, our procedure of setting up the fXa simulation system enabled MD simulations, which produce adequate ensembles for free energy calculations.
Copyright © 2011 Wiley Periodicals, Inc.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21374633     DOI: 10.1002/jcc.21758

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  35 in total

1.  Estimation of relative binding free energy based on a free energy variational principle for the FKBP-ligand system.

Authors:  Takeshi Ashida; Takeshi Kikuchi
Journal:  J Comput Aided Mol Des       Date:  2013-06-11       Impact factor: 3.686

2.  Effect of explicit water molecules on ligand-binding affinities calculated with the MM/GBSA approach.

Authors:  Paulius Mikulskis; Samuel Genheden; Ulf Ryde
Journal:  J Mol Model       Date:  2014-05-29       Impact factor: 1.810

3.  A probable means to an end: exploring P131 pharmacophoric scaffold to identify potential inhibitors of Cryptosporidium parvum inosine monophosphate dehydrogenase.

Authors:  Kehinde F Omolabi; Emmanuel A Iwuchukwu; Clement Agoni; Fisayo A Olotu; Mahmoud E S Soliman
Journal:  J Mol Model       Date:  2021-01-09       Impact factor: 1.810

4.  Rapid and accurate prediction and scoring of water molecules in protein binding sites.

Authors:  Gregory A Ross; Garrett M Morris; Philip C Biggin
Journal:  PLoS One       Date:  2012-03-01       Impact factor: 3.240

5.  Using molecular dynamics simulations to evaluate active designs of cephradine hydrolase by molecular mechanics/Poisson-Boltzmann surface area and molecular mechanics/generalized Born surface area methods.

Authors:  Jing Xue; Xiaoqiang Huang; Yushan Zhu
Journal:  RSC Adv       Date:  2019-05-07       Impact factor: 3.361

6.  Conformational selection of allergen-antibody complexes-surface plasticity of paratopes and epitopes.

Authors:  Monica L Fernández-Quintero; Johannes R Loeffler; Franz Waibl; Anna S Kamenik; Florian Hofer; Klaus R Liedl
Journal:  Protein Eng Des Sel       Date:  2019-12-31       Impact factor: 1.952

Review 7.  The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities.

Authors:  Samuel Genheden; Ulf Ryde
Journal:  Expert Opin Drug Discov       Date:  2015-04-02       Impact factor: 6.098

8.  Kinetic barriers in the isomerization of substituted ureas: implications for computer-aided drug design.

Authors:  Johannes R Loeffler; Emanuel S R Ehmki; Julian E Fuchs; Klaus R Liedl
Journal:  J Comput Aided Mol Des       Date:  2016-06-07       Impact factor: 3.686

9.  Interface dynamics explain assembly dependency of influenza neuraminidase catalytic activity.

Authors:  Susanne von Grafenstein; Hannes G Wallnoefer; Johannes Kirchmair; Julian E Fuchs; Roland G Huber; Michaela Schmidtke; Andreas Sauerbrei; Judith M Rollinger; Klaus R Liedl
Journal:  J Biomol Struct Dyn       Date:  2013-11-27

10.  Quantitative Correlation of Conformational Binding Enthalpy with Substrate Specificity of Serine Proteases.

Authors:  Birgit J Waldner; Julian E Fuchs; Roland G Huber; Susanne von Grafenstein; Michael Schauperl; Christian Kramer; Klaus R Liedl
Journal:  J Phys Chem B       Date:  2016-01-11       Impact factor: 2.991

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.