Evidence map›Paper›PMID 25252619›Full record

ArticleJournal of chemical information and modeling2014

Analysis of factors influencing hydration site prediction based on molecular dynamics simulations.

Ying Yang, Bingjie Hu, Markus A Lill

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

9 citing papers in PubMed.

  1. Accelerated Hydration Site Localization and Thermodynamic Profiling.Journal of chemical information and modeling · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Catalysts (Basel, Switzerland) · 2017
    Article
  8. Article
  9. Review
4 · The record

Corrections and comments

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

3 authors.

Ying YangDepartment of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University , 575 Stadium Mall Drive, West Lafayette, Indiana 47907, United States.
Bingjie Hu
Markus A Lill

Funding

Novel Computational Methods for Modeling Cytochrome P450 Mediated Drug MetabolismR01GM092855 · NIGMS · PURDUE UNIVERSITY · PI LILL, MARKUS ALEXANDER · 2010 to 2014
$1.1M
NIGMS NIH HHS GM092855NIGMS NIH HHS R01 GM092855
6 · The paper itself

Abstract

Water contributes significantly to the binding of small molecules to proteins in biochemical systems. Molecular dynamics (MD) simulation based programs such as WaterMap and WATsite have been used to probe the locations and thermodynamic properties of hydration sites at the surface or in the binding site of proteins generating important information for structure-based drug design. However, questions associated with the influence of the simulation protocol on hydration site analysis remain. In this study, we use WATsite to investigate the influence of factors such as simulation length and variations in initial protein conformations on hydration site prediction. We find that 4 ns MD simulation is appropriate to obtain a reliable prediction of the locations and thermodynamic properties of hydration sites. In addition, hydration site prediction can be largely affected by the initial protein conformations used for MD simulations. Here, we provide a first quantification of this effect and further indicate that similar conformations of binding site residues (RMSD < 0.5 Å) are required to obtain consistent hydration site predictions.

Indexed as

AnimalsAvian ProteinsBacterial ProteinsCrystallography, X-RayGeeseMolecular Dynamics SimulationMuramidaseMycobacterium tuberculosisProtein ConformationPyridoxaminephosphate OxidaseThermodynamicsTime FactorsUser-Computer InterfaceWaterAvian ProteinsBacterial ProteinsMuramidasePyridoxaminephosphate OxidaseWater

Identifiers

PMID25252619
PMCPMC4210176

What OpenQuestion holds

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Registered trials

None linked

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.