Evidence map›Paper›PMID 21069716›Full record

ArticleProteins2011

Development of a new physics-based internal coordinate mechanics force field and its application to protein loop modeling.

Yelena A Arnautova, Ruben A Abagyan, Maxim Totrov

Abstract read
In one paragraph

Article in Proteins, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Review
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  19. Review
  20. RCD+: Fast loop modeling server.Nucleic acids research · 2016
    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.

Yelena A ArnautovaMolsoft LLC, 3366 North Torrey Pines Court, Suite 300, La Jolla, California 92037, USA.
Ruben A Abagyan
Maxim Totrov

Funding

Next Generation Forcefield for Internal Coordinate MechanicsR41GM087017 · NIGMS · MOLSOFT, LLC · PI TOTROV, MAXIM · 2009 to 2009
$100k
NIGMS NIH HHS 1R41GM87017-1NIGMS NIH HHS R41 GM087017
6 · The paper itself

Abstract

We report the development of internal coordinate mechanics force field (ICMFF), new force field parameterized using a combination of experimental data for crystals of small molecules and quantum mechanics calculations. The main features of ICMFF include: (a) parameterization for the dielectric constant relevant to the condensed state (ε = 2) instead of vacuum, (b) an improved description of hydrogen-bond interactions using duplicate sets of van der Waals parameters for heavy atom-hydrogen interactions, and (c) improved backbone covalent geometry and energetics achieved using novel backbone torsional potentials and inclusion of the bond angles at the C(α) atoms into the internal variable set. The performance of ICMFF was evaluated through loop modeling simulations for 4-13 residue loops. ICMFF was combined with a solvent-accessible surface area solvation model optimized using a large set of loop decoys. Conformational sampling was carried out using the biased probability Monte Carlo method. Average/median backbone root-mean-square deviations of the lowest energy conformations from the native structures were 0.25/0.21 Å for four residues loops, 0.84/0.46 Å for eight residue loops, and 1.16/0.73 Å for 12 residue loops. To our knowledge, these results are significantly better than or comparable with those reported to date for any loop modeling method that does not take crystal packing into account. Moreover, the accuracy of our method is on par with the best previously reported results obtained considering the crystal environment. We attribute this success to the high accuracy of the new ICM force field achieved by meticulous parameterization, to the optimized solvent model, and the efficiency of the search method.

Indexed as

Protein Structure, SecondaryAlgorithmsAmino Acid MotifsAmino AcidsComputer SimulationHydrogen BondingModels, MolecularOligopeptidesPeptidesProteinsSurface PropertiesWaterAmino AcidsOligopeptidesPeptidesProteinsWater

Identifiers

PMID21069716
PMCPMC3057902

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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.