Evidence map›Paper›PMID 19269161›Full record

ReviewCurrent opinion in structural biology2009

Is protein classification necessary? Toward alternative approaches to function annotation.

Donald Petrey, Barry Honig

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. PvaxDB: a comprehensive structural repository of Plasmodium vivax proteome.Database : the journal of biological databases and curation · 2018
    Article
  3. Structural Bridges through Fold Space.PLoS computational biology · 2015
    Article
  4. Article
  5. Template-based prediction of protein function.Current opinion in structural biology · 2015
    Review
  6. Global view of the protein universe.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  7. Structural bioinformatics of the interactome.Annual review of biophysics · 2014
    Review
  8. Article
  9. Toward a "structural BLAST": using structural relationships to infer function.Protein science : a publication of the Protein Society · 2013
    Review
  10. Article
  11. Article
  12. Article
  13. Maps of protein structure space reveal a fundamental relationship between protein structure and function.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Structural space of protein-protein interfaces is degenerate, close to complete, and highly connected.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
  19. Review
  20. 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.

Donald PetreyHoward Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Center for Computational Biology and Bioinformatics, Columbia University, New York, NY 10032, USA.
Barry Honig

Funding

Nation Center: Multi-Scale Study- Cellular Networks(RMI)U54CA121852 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2005 to 2015
$37.4M
COMPUTER STUDIES OF PROTEIN STRUCTURE AND FUNCTIONR01GM030518 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HONIG, BARRY H · 1985 to 2020
$4.5M
Howard Hughes Medical InstituteNCI NIH HHS U54 CA121852NCI NIH HHS U54-CA121852NIGMS NIH HHS R01 GM030518NIGMS NIH HHS R01-GM030518
6 · The paper itself

Abstract

The current nonredundant protein sequence database contains over seven million entries and the number of individual functional domains is significantly larger than this value. The vast quantity of data associated with these proteins poses enormous challenges to any attempt at function annotation. Classification of proteins into sequence and structural groups has been widely used as an approach to simplifying the problem. In this article we question such strategies. We describe how the multifunctionality and structural diversity of even closely related proteins confounds efforts to assign function on the basis of overall sequence or structural similarity. Rather, we suggest that strategies that avoid classification may offer a more robust approach to protein function annotation.

Indexed as

Amino Acid SequenceComputational BiologyHumansMolecular Sequence DataProteinsProteins

Identifiers

PMID19269161
PMCPMC2745633

What OpenQuestion holds

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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.