Literature DB >> 26885844

Determination of the protonation state of the Asp dyad: conventional molecular dynamics versus thermodynamic integration.

Jinfeng Huang1, Yali Zhu1, Bin Sun1, Yuan Yao2, Junjun Liu3.   

Abstract

The protonation state of the Asp dyad is important as it can reveal enzymatic mechanisms, and the information this provides can be used in the development of drugs for proteins such as memapsin 2 (BACE-1), HIV-1 protease, and rennin. Conventional molecular dynamics (MD) simulations have been successfully used to determine the preferred protonation state of the Asp dyad. In the present work, we demonstrate that the results obtained from conventional MD simulations can be greatly influenced by the particular force field applied or the values used for control parameters. In principle, free-energy changes between possible protonation states can be used to determine the protonation state. We show that protonation state prediction by the thermodynamic integration (TI) method is insensitive to force field version or to the cutoff for calculating nonbonded interactions (a control parameter). In the present study, the protonation state of the Asp dyad predicted by TI calculations was the same regardless of the force field and cutoff value applied. Contrary to the intuition that conventional MD is more efficient, our results clearly show that the TI method is actually more efficient and more reliable for determining the protonation state of the Asp dyad.

Entities:  

Keywords:  Asp dyad; BACE-1; Molecular dynamics; Protonation state; Thermodynamic integration

Mesh:

Substances:

Year:  2016        PMID: 26885844     DOI: 10.1007/s00894-016-2926-z

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  15 in total

1.  Insights into the functional role of protonation states in the HIV-1 protease-BEA369 complex: molecular dynamics simulations and free energy calculations.

Authors:  Jianzhong Chen; Maoyou Yang; Guodong Hu; Shuhua Shi; Changhong Yi; Qinggang Zhang
Journal:  J Mol Model       Date:  2009-03-18       Impact factor: 1.810

2.  The catalytic mechanism of an aspartic proteinase explored with neutron and X-ray diffraction.

Authors:  Leighton Coates; Han-Fang Tuan; Stephen Tomanicek; Andrey Kovalevsky; Marat Mustyakimov; Peter Erskine; Jon Cooper
Journal:  J Am Chem Soc       Date:  2008-05-15       Impact factor: 15.419

3.  pH-Dependent Population Shift Regulates BACE1 Activity and Inhibition.

Authors:  Christopher R Ellis; Jana Shen
Journal:  J Am Chem Soc       Date:  2015-07-22       Impact factor: 15.419

4.  Virtual screening for beta-secretase (BACE1) inhibitors reveals the importance of protonation states at Asp32 and Asp228.

Authors:  Tímea Polgár; György M Keserü
Journal:  J Med Chem       Date:  2005-06-02       Impact factor: 7.446

5.  Application of fragment screening by X-ray crystallography to beta-secretase.

Authors:  Christopher W Murray; Owen Callaghan; Gianni Chessari; Anne Cleasby; Miles Congreve; Martyn Frederickson; Michael J Hartshorn; Rachel McMenamin; Sahil Patel; Nicola Wallis
Journal:  J Med Chem       Date:  2007-02-22       Impact factor: 7.446

6.  Modeling the protonation states of the catalytic aspartates in beta-secretase.

Authors:  Ramkumar Rajamani; Charles H Reynolds
Journal:  J Med Chem       Date:  2004-10-07       Impact factor: 7.446

7.  Proton binding to proteins: pK(a) calculations with explicit and implicit solvent models.

Authors:  Thomas Simonson; Jens Carlsson; David A Case
Journal:  J Am Chem Soc       Date:  2004-04-07       Impact factor: 15.419

8.  Crystal structure of an active form of BACE1, an enzyme responsible for amyloid beta protein production.

Authors:  Hideaki Shimizu; Asako Tosaki; Kumi Kaneko; Tamao Hisano; Takashi Sakurai; Nobuyuki Nukina
Journal:  Mol Cell Biol       Date:  2008-03-31       Impact factor: 4.272

9.  Determination of the active site protonation state of beta-secretase from molecular dynamics simulation and docking experiment: implications for structure-based inhibitor design.

Authors:  Hwangseo Park; Sangyoub Lee
Journal:  J Am Chem Soc       Date:  2003-12-31       Impact factor: 15.419

10.  H++: a server for estimating pKas and adding missing hydrogens to macromolecules.

Authors:  John C Gordon; Jonathan B Myers; Timothy Folta; Valia Shoja; Lenwood S Heath; Alexey Onufriev
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

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