Evidence map›Paper›PMID 19066990›Full record

ArticleJournal of molecular modeling2009

Application of the PM6 method to modeling proteins.

James J P Stewart

Abstract read
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Article in Journal of molecular modeling, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

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  12. Sustainable Production of Biosurfactant from Agro-Industrial Oil Wastes byInternational journal of molecular sciences · 2022
    Article
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  19. 8Journal of molecular modeling · 2021
    Article
  20. Article

6 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

1 author.

James J P StewartStewart Computational Chemistry, 15210 Paddington Circle, Colorado Springs, CO 80921, USA. MrMOPAC@OpenMOPAC.net

Funding

Computer modeling of Biochemical Reaction RatesR43GM083178 · NIGMS · STEWART COMPUTATIONAL CHEMISTRY · PI STEWART, JAMES JOSEPH PATRICK · 2008 to 2008
$100k
NIGMS NIH HHS 1 R43 GM083178-01
6 · The paper itself

Abstract

The applicability of the newly developed PM6 method for modeling proteins is investigated. In order to allow the geometries of such large systems to be optimized rapidly, three modifications were made to the conventional semiempirical procedure: the matrix algebra method for solving the self-consistent field (SCF) equations was replaced with a localized molecular orbital method (MOZYME), Baker's Eigenfollowing technique for geometry optimization was replaced with the L-BFGS function minimizer, and some of the integrals used in the NDDO set of approximations were replaced with point-charge and polarization functions. The resulting method was used in the unconstrained geometry optimization of 45 proteins ranging in size from a simple nonapeptide of 244 atoms to an importin consisting of 14,566 atoms. For most systems, PM6 gave structures in good agreement with the reported X-ray structures. Some derived properties, such as pKa and bulk elastic modulus, were also calculated. The applicability of PM6 to model transition states was investigated by simulating a hypothetical reaction step in the chymotrypsin-catalyzed hydrolysis of a peptide bond. A proposed technique for generating accurate protein geometries, starting with X-ray structures, was examined.

Indexed as

Models, MolecularAlgorithmsBinding SitesChemistry, OrganicCollagenCrystallography, X-RayGreen Fluorescent ProteinsMetalloproteinsProteinsProtein Structure, QuaternaryProtein Structure, SecondaryProtein Structure, TertiaryReproducibility of ResultsCollagenGreen Fluorescent ProteinsMetalloproteinsProteins

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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.