Evidence map›Paper›PMID 24179453›Full record

ArticleJournal of chemical theory and computation2013

Efficient determination of protein-protein standard binding free energies from first principles.

James C Gumbart, Benoît Roux, Christophe Chipot

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 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing 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

97 citing papers in PubMed.

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37 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

3 authors.

James C GumbartSchool of Physics, Georgia Institute of Technology, Atlanta, GA 30332.
Benoît Roux
Christophe Chipot

Funding

Conformational Flexibility in Activation of Src-KinaseR01CA093577 · NCI · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI BENOIT ROUX · 2002 to 2026
$5.6M
Innovative Supercomputing for Breakthrough Molecular DynamicsRC2GM093307 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI DITTRICH, MARKUS · 2009 to 2010
$2.7M
COMBATING INFECTION THROUGH ATOMIC-SCALE MODELING OF UNIQUE BACTERIAL SYSTEMSK22AI100927 · NIAID · GEORGIA INSTITUTE OF TECHNOLOGY · PI GUMBART, JAMES C. · 2013 to 2014
$269k
NCI NIH HHS R01 CA093577NIAID NIH HHS K22 AI100927NIGMS NIH HHS RC2 GM093307
6 · The paper itself

Abstract

Characterizing protein-protein association quantitatively has been a longstanding challenge for computer simulations. Here, a theoretical framework is put forth that addresses this challenge on the basis of detailed all-atom molecular dynamics simulations with explicit solvent. The proposed methodology relies upon independent potential of mean force (PMF) free-energy calculations carried out sequentially, wherein the biological objects are restrained in the conformation, position and orientation of the bound state, using adequately chosen biasing potentials. These restraints systematically narrow down the configurational entropy available to the system and effectively guarantee that the relevant network of interactions is properly sampled as the two proteins reversibly associate. Decomposition of the binding process into consecutive, well-delineated stages, for both the protein complex and the individual, unbound partners, offers a rigorous definition of the standard state, from which the absolute binding free energy can be determined. The method is applied to the difficult case of the extracellular ribonuclease barnase binding to its intracellular inhibitor barstar. The calculated binding free energy is -21.0 ± 1.4 kcal/mol, which compares well with the experimental value of -19.0 ± 0.2 kcal/mol. The relatively small statistical error reflects the precision and convergence afforded by the PMF-based simulation methodology. In addition to providing an accurate reproduction of the standard binding free energy, the proposed strategy offers a detailed picture of the protein-protein interface, illuminating the thermodynamic forces that underlie reversible association. The application of the present formal framework to barnase:barstar binding provides a foundation for tackling nearly any protein-protein complex.

Identifiers

PMID24179453
PMCPMC3809040

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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.