Evidence map›Paper›PMID 25058662›Full record

ArticleJournal of chemical information and modeling2014

Parameter choice matters: validating probe parameters for use in mixed-solvent simulations.

Katrina W Lexa, Garrett B Goh, Heather A Carlson

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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. CosolvKit: a Versatile Tool for Cosolvent MD Preparation and Analysis.Journal of chemical information and modeling · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. K-RasBiochemistry · 2019
    Article
  15. Article
  16. Review
  17. MixMD Probeview: Robust Binding Site Prediction from Cosolvent Simulations.Journal of chemical information and modeling · 2018
    Article
  18. Predicting Displaceable Water Sites Using Mixed-Solvent Molecular Dynamics.Journal of chemical information and modeling · 2018
    Article
  19. Article
  20. 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.

Katrina W LexaDepartment of Medicinal Chemistry, College of Pharmacy, University of Michigan, Ann Arbor , 428 Church St., Ann Arbor, Michigan 48109-1065, United States.
Garrett B Goh
Heather A Carlson

Funding

INTERDEPARTMENTAL TRAINING IN PHARMACOLOGICAL SCIENCEST32GM007767 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ISOM, LORI L. · 1985 to 2019
$10.2M
Multiple Protein Structures in Computational Drug DesignR01GM065372 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CARLSON, HEATHER A · 2002 to 2021
$3.4M
NIGMS NIH HHS GM07767NIGMS NIH HHS GM65372NIGMS NIH HHS R01 GM065372NIGMS NIH HHS T32 GM007767
6 · The paper itself

Abstract

Probe mapping is a common approach for identifying potential binding sites in structure-based drug design; however, it typically relies on energy minimizations of probes in the gas phase and a static protein structure. The mixed-solvent molecular dynamics (MixMD) approach was recently developed to account for full protein flexibility and solvation effects in hot-spot mapping. Our first study used only acetonitrile as a probe, and here, we have augmented the set of functional group probes through careful testing and parameter validation. A diverse range of probes are needed in order to map complex binding interactions. A small variation in probe parameters can adversely effect mixed-solvent behavior, which we highlight with isopropanol. We tested 11 solvents to identify six with appropriate behavior in TIP3P water to use as organic probes in the MixMD method. In addition to acetonitrile and isopropanol, we have identified acetone, N-methylacetamide, imidazole, and pyrimidine. These probe solvents will enable MixMD studies to recover hydrogen-bonding sites, hydrophobic pockets, protein-protein interactions, and aromatic hotspots. Also, we show that ternary-solvent systems can be incorporated within a single simulation. Importantly, these binary and ternary solvents do not require artificial repulsion terms like other methods. Within merely 5 ns, layered solvent boxes become evenly mixed for soluble probes. We used radial distribution functions to evaluate solvent behavior, determine adequate mixing, and confirm the absence of phase separation. We recommend that radial distribution functions should be used to assess adequate sampling in all mixed-solvent techniques rather than the current practice of examining the solvent ratios at the edges of the solvent box.

Indexed as

Molecular Dynamics Simulation2-PropanolAcetamidesAcetoneAcetonitrilesBacterial ProteinsBinding SitesHydrogen BondingHydrophobic and Hydrophilic InteractionsImidazolesLigandsMolecular ProbesProtein BindingPyrimidinesSolventsThermodynamics2-PropanolAcetamidesAcetoneacetonitrileAcetonitrilesBacterial ProteinsimidazoleImidazolesLigandsMolecular ProbesN-methylacetamidepyrimidinePyrimidinesSolventsThermolysinWater

Identifiers

PMID25058662
PMCPMC4144759

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.