Evidence map›Paper›PMID 24615156›Full record

ReviewJournal of computer-aided molecular design2014

Blind prediction of solvation free energies from the SAMPL4 challenge.

David L Mobley, Karisa L Wymer, Nathan M Lim, J Peter Guthrie

Abstract readReview
In one paragraph

Review in Journal of computer-aided molecular design, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

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  7. Automated high throughput pKJournal of computer-aided molecular design · 2021
    Article
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  10. Evaluation of log P, pKJournal of computer-aided molecular design · 2021
    Article
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  13. Uncertainty quantification in classical molecular dynamics.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Article
  14. Article
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  19. Article
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24 more citing papers are in PubMed but not listed here.

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

4 authors.

David L MobleyDepartments of Pharmaceutical Sciences and Chemistry, University of California, Irvine, 147 Bison Modular, Irvine, CA, 92697, USA, dmobley@mobleylab.org.
Karisa L Wymer
Nathan M Lim
J Peter Guthrie

Funding

Testing and improving alchemical techniques for predicting protein-ligand bindingR15GM096257 · NIGMS · UNIVERSITY OF NEW ORLEANS · PI MOBLEY, DAVID LOWELL · 2012 to 2012
$268k
NIGMS NIH HHS 1R15GM096257-01A1NIGMS NIH HHS R15 GM096257
6 · The paper itself

Abstract

Here, we give an overview of the small molecule hydration portion of the SAMPL4 challenge, which focused on predicting hydration free energies for a series of 47 small molecules. These gas-to-water transfer free energies have in the past proven a valuable test of a variety of computational methods and force fields. Here, in contrast to some previous SAMPL challenges, we find a relatively wide range of methods perform quite well on this test set, with RMS errors in the 1.2 kcal/mol range for several of the best performing methods. Top-performers included a quantum mechanical approach with continuum solvent models and functional group corrections, alchemical molecular dynamics simulations with a classical all-atom force field, and a single-conformation Poisson-Boltzmann approach. While 1.2 kcal/mol is still a significant error, experimental hydration free energies covered a range of nearly 20 kcal/mol, so methods typically showed substantial predictive power. Here, a substantial new focus was on evaluation of error estimates, as predicting when a computational prediction is reliable versus unreliable has considerable practical value. We found, however, that in many cases errors are substantially underestimated, and that typically little effort has been invested in estimating likely error. We believe this is an important area for further research.

Indexed as

Models, ChemicalComputer SimulationSmall Molecule LibrariesThermodynamicsWaterSmall Molecule LibrariesWater

Identifiers

PMID24615156
PMCPMC4006301

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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.