Evidence map›Paper›PMID 24044772›Full record

ArticleThe journal of physical chemistry. B2013

Specific and non-specific protein association in solution: computation of solvent effects and prediction of first-encounter modes for efficient configurational bias Monte Carlo simulations.

Antonio Cardone, Harish Pant, Sergio A Hassan

Open access · greenAbstract read
In one paragraph

Article in The journal of physical chemistry. B, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

12 citing papers in PubMed, 22 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

Antonio CardoneInstitute for Advanced Computer Science, University of Maryland , College Park, Maryland 20742, United States.
Harish Pant
Sergio A Hassan
National Institute of Neurological Disorders and Stroke · USNational Institute of Standards and Technology · USNational Institutes of Health · US

Funding

Cyclin-dependent kinase 5 (Cdk5 physiology and pathology)ZIANS003104 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI PANT, HARISH C · 2009 to 2016
$9.6M
Simulating Protein Structures, Complexes, And DynamicsZIACT000265 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI STEINBACH, PETER J · 2009 to 2020
$8.2M
Intramural NIH HHS Z99 CL999999Intramural NIH HHS Z99 CT999999
6 · The paper itself

Abstract

Weak and ultraweak protein-protein association play a role in molecular recognition and can drive spontaneous self-assembly and aggregation. Such interactions are difficult to detect experimentally, and are a challenge to the force field and sampling technique. A method is proposed to identify low-population protein-protein binding modes in aqueous solution. The method is designed to identify preferential first-encounter complexes from which the final complex(es) at equilibrium evolve. A continuum model is used to represent the effects of the solvent, which accounts for short- and long-range effects of water exclusion and for liquid-structure forces at protein/liquid interfaces. These effects control the behavior of proteins in close proximity and are optimized on the basis of binding enthalpy data and simulations. An algorithm is described to construct a biasing function for self-adaptive configurational-bias Monte Carlo of a set of interacting proteins. The function allows mixing large and local changes in the spatial distribution of proteins, thereby enhancing sampling of relevant microstates. The method is applied to three binary systems. Generalization to multiprotein complexes is discussed.

Indexed as

Monte Carlo MethodAlgorithmsModels, MolecularProtein BindingProteinsSolutionsSolventsThermodynamicsProteinsSolutionsSolvents

Identifiers

PMID24044772
PMCPMC3870165
OpenAlexW1999751873

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.