Evidence map›Paper›PMID 19351663›Full record

ArticleMolecular & cellular proteomics : MCP2009

Multiple Motif Scanning to identify methyltransferases from the yeast proteome.

Tanya C Petrossian, Steven G Clarke

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Transcriptome Profiling Revealed MultipleFrontiers in microbiology · 2020
    Article
  9. Review
  10. Article
  11. Network dynamics of the yeast methyltransferome.Microbial cell (Graz, Austria) · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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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

2 authors.

Tanya C PetrossianDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, USA.
Steven G Clarke

Funding

CHEMISTRY BIOLOGY INTERFACE TRAINING PROGRAMT32GM008496 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAYNARD, HEATHER D · 1993 to 2019
$6.3M
CONTROL OF EUCARYOTIC FUNCTION BY METHYLATIONR37GM026020 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CLARKE, STEVEN G · 2000 to 2009
$5.0M
CONTROL OF EUKARYOTIC MEMBRANE FUNCTION BY METHYLATIONR01GM026020 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CLARKE, STEVEN G · 1985 to 2013
$2.1M
NIGMS NIH HHS GM008496NIGMS NIH HHS GM026020NIGMS NIH HHS R01 GM026020NIGMS NIH HHS R37 GM026020NIGMS NIH HHS T32 GM008496
6 · The paper itself

Abstract

A new program (Multiple Motif Scanning) was developed to scan the Saccharomyces cerevisiae proteome for Class I S-adenosylmethionine-dependent methyltransferases. Conserved Motifs I, Post I, II, and III were identified and expanded in known methyltransferases by primary sequence and secondary structural analysis through hidden Markov model profiling of both a yeast reference database and a reference database of methyltransferases with solved three-dimensional structures. The roles of the conserved amino acids in the four motifs of the methyltransferase structure and function were then analyzed to expand the previously defined motifs. Fisher-based negative log statistical matrix sets were developed from the prevalence of amino acids in the motifs. Multiple Motif Scanning is able to scan the proteome and score different combinations of the top fitting sequences for each motif. In addition, the program takes into account the conserved number of amino acids between the motifs. The output of the program is a ranked list of proteins that can be used to identify new methyltransferases and to reevaluate the assignment of previously identified putative methyltransferases. The Multiple Motif Scanning program can be used to develop a putative list of enzymes for any type of protein that has one or more motifs conserved at variable spacings and is freely available (www.chem.ucla.edu/files/MotifSetup.Zip). Finally hidden Markov model profile clustering analysis was used to subgroup Class I methyltransferases into groups that reflect their methyl-accepting substrate specificity.

Indexed as

Amino Acid MotifsSaccharomyces cerevisiae ProteinsSoftwareAlgorithmsAmino Acid SequenceAnimalsDatabases, ProteinHumansMethyltransferasesModels, MolecularMolecular Sequence DataProtein Structure, SecondaryProteomeSaccharomyces cerevisiaeSequence AlignmentSequence Analysis, ProteinMethyltransferasesProteomeSaccharomyces cerevisiae Proteins

Identifiers

PMID19351663
PMCPMC2709183

What OpenQuestion holds

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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.