Evidence map›Paper›PMID 24015114›Full record

ArticleJournal of chemical theory and computation2013

Calculating the sensitivity and robustness of binding free energy calculations to force field parameters.

Gabriel J Rocklin, David L Mobley, Ken A Dill

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  3. Article
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  7. Article
  8. Article
  9. Optimized Lennard-Jones Parameters for Druglike Small Molecules.Journal of chemical theory and computation · 2018
    Article
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  11. Article
  12. Article
  13. Article
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  15. Review
  16. Article
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.

Gabriel J RocklinDepartment of Pharmaceutical Chemistry, University of California San Francisco, 1700 4 St, San Francisco California 94143-2550, USA ; Biophysics Graduate Program, University of California San Francisco, 1700 4 St, San Francisco California 94143-2550, USA.
David L Mobley
Ken A Dill

Funding

STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008284 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA · 1988 to 2022
$10.1M
Modeling Aqueous Solvation in BiologyR01GM063592 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DILL, KEN A · 2001 to 2018
$4.3M
New Mathematical Methods for Protein Loop ModelingR01GM090205 · NIGMS · UNIVERSITY OF NEW MEXICO · PI COUTSIAS, EVANGELOS A. · 2009 to 2012
$1.3M
Modeling Aqueous Solvation in BiologyR56GM063592 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DILL, KEN A · 2009 to 2009
$330k
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 R01 GM063592NIGMS NIH HHS R01 GM090205NIGMS NIH HHS R15 GM096257NIGMS NIH HHS R56 GM063592NIGMS NIH HHS T32 GM008284
6 · The paper itself

Abstract

Binding free energy calculations offer a thermodynamically rigorous method to compute protein-ligand binding, and they depend on empirical force fields with hundreds of parameters. We examined the sensitivity of computed binding free energies to the ligand's electrostatic and van der Waals parameters. Dielectric screening and cancellation of effects between ligand-protein and ligand-solvent interactions reduce the parameter sensitivity of binding affinity by 65%, compared with interaction strengths computed in the gas-phase. However, multiple changes to parameters combine additively on average, which can lead to large changes in overall affinity from many small changes to parameters. Using these results, we estimate that random, uncorrelated errors in force field nonbonded parameters must be smaller than 0.02 e per charge, 0.06 Å per radius, and 0.01 kcal/mol per well depth in order to obtain 68% (one standard deviation) confidence that a computed affinity for a moderately-sized lead compound will fall within 1 kcal/mol of the true affinity, if these are the only sources of error considered.

Indexed as

force fieldsfree energy calculationsligand bindingmolecular dynamicsparameter sensitivity

Identifiers

PMID24015114
PMCPMC3763860

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.