Evidence map›Paper›PMID 15851686›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2005

Sequence signatures and the probabilistic identification of proteins in the Myc-Max-Mad network.

William R Atchley, Andrew D Fernandes

Open access · greenAbstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Premetazoan ancestry of the Myc-Max network.Molecular biology and evolution · 2011
    Article
  9. Article
  10. Evolution of the Max and Mlx networks in animals.Genome biology and evolution · 2011
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Solving the protein sequence metric problem.Proceedings of the National Academy of Sciences of the United States of America · 2005
    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 at 2 institutions in 2 countries.

William R AtchleyDepartment of Genetics, Graduate Program in Biomathematics, and Center for Computational Biology, North Carolina State University, Raleigh, NC 27695-7614, USA. atchley@ncsu.edu
Andrew D Fernandes
Max Planck Institute for Mathematics · DENorth Carolina State University · US

Funding

THEORETICAL QUANTITATIVE GENETICSP01GM045344 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MACKAY, TRUDY F · 1991 to 2005
$7.2M
NIGMS NIH HHS GM45344NIGMS NIH HHS P01 GM045344
6 · The paper itself

Abstract

Accurate identification of specific groups of proteins by their amino acid sequence is an important goal in genome research. Here we combine information theory with fuzzy logic search procedures to identify sequence signatures or predictive motifs for members of the Myc-Max-Mad transcription factor network. Myc is a well known oncoprotein, and this family is involved in cell proliferation, apoptosis, and differentiation. We describe a small set of amino acid sites from the N-terminal portion of the basic helix-loop-helix (bHLH) domain that provide very accurate sequence signatures for the Myc-Max-Mad transcription factor network and three of its member proteins. A predictive motif involving 28 contiguous bHLH sequence elements found 337 network proteins in the GenBank NR database with no mismatches or misidentifications. This motif also identifies at least one previously unknown fungal protein with strong affinity to the Myc-Max-Mad network. Another motif found 96% of known Myc protein sequences with only a single mismatch, including sequences from genomes previously not thought to contain Myc proteins. The predictive motif for Myc is very similar to the ancestral sequence for the Myc group estimated from phylogenetic analyses. Based on available crystal structure studies, this motif is discussed in terms of its functional consequences. Our results provide insight into evolutionary diversification of DNA binding and dimerization in a well characterized family of regulatory proteins and provide a method of identifying signature motifs in protein families.

Indexed as

Genetic VariationAmino Acid SequenceBasic-Leucine Zipper Transcription FactorsComputational BiologyDNA-Binding ProteinsFuzzy LogicGenomicsHelix-Loop-Helix MotifsMolecular Sequence DataProtein ConformationProto-Oncogene Proteins c-mycRepressor ProteinsSequence AlignmentSequence HomologyTranscription FactorsBasic-Leucine Zipper Transcription FactorsDNA-Binding ProteinsMyc associated factor XProto-Oncogene Proteins c-mycRepressor ProteinsTranscription Factors

Identifiers

PMID15851686
PMCPMC1088358
OpenAlexW2063284950

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.