Evidence map›Paper›PMID 29378399›Full record

ArticleJournal of chemical theory and computation2018

Accuracy Comparison of Generalized Born Models in the Calculation of Electrostatic Binding Free Energies.

Saeed Izadi, Robert C Harris, Marcia O Fenley, Alexey V Onufriev

Abstract readComparative Study
In one paragraph

Article in Journal of chemical theory and computation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  11. Computational Tools for Accurate Binding Free-Energy Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  12. Article
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  16. Review
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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

4 authors.

Saeed IzadiEarly Stage Pharmaceutical Development , Genentech Inc. , 1 DNA Way , South San Francisco , California 94080 , United States.
Robert C HarrisDepartment of Pharmaceutical Sciences , University of Maryland School of Pharmacy , Baltimore , Maryland 21201 , United States.
Marcia O FenleyInstitute of Molecular Biophysics , Florida State University , Tallahassee , Florida 32306-3408 , United States.ORCID http://orcid.org/0000-0003-2325-3150

Funding

Analytical Electrostatics: Methods and Biological Applications.R01GM076121 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI ONUFRIEV, ALEXEY VLAD · 2006 to 2014
$2.6M
NIGMS NIH HHS R01 GM076121
6 · The paper itself

Abstract

The need for accurate yet efficient representation of the aqueous environment in biomolecular modeling has led to the development of a variety of generalized Born (GB) implicit solvent models. While many studies have focused on the accuracy of available GB models in predicting solvation free energies, a systematic assessment of the quality of these models in binding free energy calculations, crucial for rational drug design, has not been undertaken. Here, we evaluate the accuracies of eight common GB flavors (GB-HCT, GB-OBC, GB-neck2, GBNSR6, GBSW, GBMV1, GBMV2, and GBMV3), available in major molecular dynamics packages, in predicting the electrostatic binding free energies ( ΔΔ G

Indexed as

Molecular Dynamics SimulationStatic ElectricityThermodynamicsBinding Sites

Identifiers

PMID29378399
PMCPMC12199658

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.