Evidence map›Paper›PMID 23690205›Full record

ArticleJournal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry2013

Identifying sequence determinants of reduction potentials of metalloproteins.

Bradley Scott Perrin, Toshiko Ichiye

Abstract read
In one paragraph

Article in Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Bradley Scott PerrinDepartment of Chemistry, Georgetown University, Box 571227, Washington, DC 20057-1227, USA.
Toshiko Ichiye

Funding

COMPUTER SIMULATIONS OF ELECTRON TRANSFER PROTEINSR01GM045303 · NIGMS · WASHINGTON STATE UNIVERSITY · PI ICHIYE, TOSHIKO · 1997 to 2013
$3.3M
FIC NIH HHS Y99 TW999999FIC NIH HHS Z99-TW999999-03Intramural NIH HHSNIGMS NIH HHS GM0453030NIGMS NIH HHS R01 GM045303
6 · The paper itself

Abstract

The reduction potential of an electron transfer protein is one of its most important functional characteristics. Although the type of redox site and the protein fold are the major determinants of the reduction potential of a redox-active protein, its amino acid sequence may tune the reduction potential as well. Thus, homologous proteins can often be divided into different classes, with each class characterized by a biological function and a reduction potential. Site-specific mutagenesis of the sequence determinants of the differences in the reduction potential between classes should change the reduction potential of a protein in one class to that of the other class. Here, a procedure is presented that combines energetic and bioinformatic analysis of homologous proteins to identify sequence determinants that are also good candidates for site-specific mutations, using the [4Fe-4S] ferredoxins and the [4Fe-4S] high-potential iron-sulfur proteins as examples. This procedure is designed to guide site-specific mutations or more computationally expensive studies, such as molecular dynamics simulations. To make the procedure more accessible to the general scientific community, it is being implemented into CHARMMing, a Web-based portal, with a library of density functional theory results for the redox site that are used in the setting up of Poisson-Boltzmann continuum electrostatics calculations for the protein energetics.

Indexed as

Amino Acid SequenceFerredoxinsIron-Sulfur ProteinsModels, MolecularMolecular Dynamics SimulationMolecular Sequence DataOxidation-ReductionProtein FoldingQuantum TheorySequence AlignmentFerredoxinsIron-Sulfur Proteins

Identifiers

PMID23690205
PMCPMC3723707

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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.