Evidence map›Paper›PMID 18518943›Full record

ArticleBMC bioinformatics2008

SODa: an Mn/Fe superoxide dismutase prediction and design server.

Jean Marc Kwasigroch, René Wintjens, Dimitri Gilis, Marianne Rooman

Abstract read
In one paragraph

Article in BMC bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Expanded metabolic versatility of ubiquitous nitrite-oxidizing bacteria from the genus Nitrospira.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  6. Article
  7. Article
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  9. Article
  10. 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

4 authors.

Jean Marc KwasigrochUnité de Bioinformatique génomique et structurale, Université Libre de Bruxelles, CP 165/61, avenue Roosevelt 50, B-1050 Brussels, Belgium. jkwasigr@ulb.ac.be
René Wintjens
Dimitri Gilis
Marianne Rooman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuperoxide dismutases (SODs) are ubiquitous metalloenzymes that play an important role in the defense of aerobic organisms against oxidative stress, by converting reactive oxygen species into nontoxic molecules. We focus here on the SOD family that uses Fe or Mn as cofactor.

resultsThe SODa webtool http://babylone.ulb.ac.be/soda predicts if a target sequence corresponds to an Fe/Mn SOD. If so, it predicts the metal ion specificity (Fe, Mn or cambialistic) and the oligomerization mode (dimer or tetramer) of the target. In addition, SODa proposes a list of residue substitutions likely to improve the predicted preferences for the metal cofactor and oligomerization mode. The method is based on residue fingerprints, consisting of residues conserved in SOD sequences or typical of SOD subgroups, and of interaction fingerprints, containing residue pairs that are in contact in SOD structures.

conclusionSODa is shown to outperform and to be more discriminative than traditional techniques based on pairwise sequence alignments. Moreover, the fact that it proposes selected mutations makes it a valuable tool for rational protein design.

Indexed as

Drug DesignSoftwareAlgorithmsAmino Acid SequenceBinding SitesEnzyme ActivationIronManganeseMolecular Sequence DataProtein BindingProtein Interaction MappingSequence Analysis, ProteinSuperoxide DismutaseIronManganeseSuperoxide Dismutase

Identifiers

PMID18518943
PMCPMC2442099

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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.