Evidence map›Paper›PMID 19146384›Full record

ReviewThe journal of physical chemistry. B2009

Computations of standard binding free energies with molecular dynamics simulations.

Yuqing Deng, Benoît Roux

Abstract readReview
In one paragraph

Review in The journal of physical chemistry. B, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 221 papers.

0numbers the graph read from it
0cells of the map it votes in
221citing 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

221 citing papers in PubMed.

  1. Article
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  8. Reaction Engineering of In Vitro Natural Product Biosynthesis: Challenges and Strategies.Chembiochem : a European journal of chemical biology · 2025
    Review
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161 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

2 authors.

Yuqing DengBiosciences Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, Illinois, USA.
Benoît Roux

Funding

Polarizable Force Field for Proteins and LipidsR01GM072558 · NIGMS · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI ROUX, BENOIT · 2005 to 2023
$5.1M
NIGMS NIH HHS R01 GM072558
6 · The paper itself

Abstract

An increasing number of studies have reported computations of the standard (absolute) binding free energy of small ligands to proteins using molecular dynamics (MD) simulations and explicit solvent molecules that are in good agreement with experiments. This encouraging progress suggests that physics-based approaches hold the promise of making important contributions to the process of drug discovery and optimization in the near future. Two types of approaches are principally used to compute binding free energies with MD simulations. The most widely known is the alchemical double decoupling method, in which the interaction of the ligand with its surroundings are progressively switched off. It is also possible to use a potential of mean force (PMF) method, in which the ligand is physically separated from the protein receptor. For both of these computational approaches, restraining potentials may be activated and released during the simulation for sampling efficiently the changes in translational, rotational, and conformational freedom of the ligand and protein upon binding. Because such restraining potentials add bias to the simulations, it is important that their effects be rigorously removed to yield a binding free energy that is properly unbiased with respect to the standard state. A review of recent results is presented, and differences in computational methods are discussed. Examples of computations with T4-lysozyme mutants, FKBP12, SH2 domain, and cytochrome P450 are discussed and compared. Remaining difficulties and challenges are highlighted.

Indexed as

Computer SimulationComputational BiologyKineticsProtein BindingProtein ConformationProteinsStructure-Activity RelationshipThermodynamicsProteins

Identifiers

PMID19146384
PMCPMC3837708

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.