Evidence map›Paper›PMID 26885844›Full record

ArticleJournal of molecular modeling2016

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

Jinfeng Huang, Yali Zhu, Bin Sun, Yuan Yao, Junjun Liu

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Article in Journal of molecular modeling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jinfeng HuangSchool of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, People's Republic of China.
Yali ZhuSchool of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, People's Republic of China.
Bin SunSchool of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, People's Republic of China.
Yuan YaoInstitute of Theoretical and Simulational Chemistry, The Academy of Fundamental and Interdisciplinary Science, Harbin Institute of Technology, 2 Yikuang Street, Harbin, 150080, People's Republic of China.
Junjun LiuSchool of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, Hubei, 430030, People's Republic of China. junjun.liu@hust.edu.cn.
Huazhong University of Science and Technology · CNHarbin Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Molecular Dynamics SimulationProtonsThermodynamicsAlgorithmsAmyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesHydrogen BondingModels, MolecularAmyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesBACE1 protein, humanProtonsAsp dyadBACE-1Molecular dynamicsProtonation stateThermodynamic integration

Identifiers

PMID26885844
OpenAlexW2279135543

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.