Evidence map›Paper›PMID 23927290›Full record

ArticleThe Journal of chemical physics2013

Rapid estimation of hydration thermodynamics of macromolecular regions.

E Prabhu Raman, Alexander D MacKerell

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. WaterKit: Thermodynamic Profiling of Protein Hydration Sites.Journal of chemical theory and computation · 2023
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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

2 authors.

E Prabhu RamanDepartment of Pharmaceutical Sciences, University of Maryland School of Pharmacy, 20 Penn Street HSF II, Baltimore, Maryland 21201, USA. prabhu@outerbanks.umaryland.edu
Alexander D MacKerell

Funding

Restoration of Tumor Suppression Activity in Malignant MelanomaR01CA107331 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI WEBER, DAVID JOSEPH · 2006 to 2015
$5.4M
Discovery of Novel Macrolide AntibioticsR01AI080968 · NIAID · TEMPLE UNIV OF THE COMMONWEALTH · PI ANDRADE, RODRIGO B · 2009 to 2012
$1.3M
NCI NIH HHS CA107331NCI NIH HHS R01 CA107331NIAID NIH HHS AI080968NIAID NIH HHS R01 AI080968
6 · The paper itself

Abstract

This work describes a novel protocol to efficiently calculate the local free energy of hydration of specific regions in macromolecules. The method employs Monte Carlo simulations in the grand canonical ensemble to generate water configurations in a selected spherical region in the macromolecule. Excess energy and entropy of hydration are calculated by analyzing the water configurational distributions following the recently published grid inhomogeneous solvation theory method [C. N. Nguyen, T. K. Young, and M. K. Gilson, J. Chem. Phys. 137, 044101 (2012)]. Our method involves the approximations of treating the macromolecule and distant solvent as rigid and performing calculations on multiple such conformations to account for conformational diversity. These approximations are tested against water configurations obtained from a molecular dynamics simulation. The method is validated by predicting the number and location of water molecules in 5 pockets in the protein Interleukin-1β for which experimental water occupancy data are available. Free energy values are validated against decoupling free energy perturbation calculations. The results indicate that the approximations used in the method enable efficient prediction of free energies of water displacement.

Indexed as

ThermodynamicsMacromolecular SubstancesMolecular Dynamics SimulationMonte Carlo MethodWaterMacromolecular SubstancesWater

Identifiers

PMID23927290
PMCPMC3751957

What OpenQuestion holds

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Registered trials

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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.