Evidence map›Paper›PMID 9342336›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America1997

A structural census of the current population of protein sequences.

M Gerstein, M Levitt

Open access · greenAbstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 105 citations in OpenAlex.

  1. Article
  2. Alternative approach to protein structure prediction based on sequential similarity of physical properties.Proceedings of the National Academy of Sciences of the United States of America · 2015
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  12. A glimpse at the organization of the protein universe.Proceedings of the National Academy of Sciences of the United States of America · 2005
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  17. Comparing function and structure between entire proteomes.Protein science : a publication of the Protein Society · 2001
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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 at 1 institution in 1 country.

M GersteinMolecular Biophysics and Biochemistry Department, P.O. Box 208114, Yale University, New Haven, CT 06520-8114, USA. Mark.Gerstein@yale.edu
M Levitt
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examine the occurrence of the approximately 300 known protein folds in different groups of organisms. To do this, we characterize a large fraction of the currently known protein sequences ( approximately 140,000) in structural terms, by matching them to known structures via sequence comparison (or by secondary-structure class prediction for those without structural homologues). Overall, we find that an appreciable fraction of the known folds are present in each of the major groups of organisms (e.g., bacteria and eukaryotes share 156 of 275 folds), and most of the common folds are associated with many families of nonhomologous sequences (i.e., >10 sequence families for each common fold). However, different groups of organisms have characteristically distinct distributions of folds. So, for instance, some of the most common folds in vertebrates, such as globins or zinc fingers, are rare or absent in bacteria. Many of these differences in fold usage are biologically reasonable, such as the folds of metabolic enzymes being common in bacteria and those associated with extracellular transport and communication being common in animals. They also have important implications for database-based methods for fold recognition, suggesting that an unknown sequence from a plant is more likely to have a certain fold (e.g., a TIM barrel) than an unknown sequence from an animal.

Indexed as

Amino Acid SequenceProtein FoldingProtein Structure, SecondaryDatabases, FactualEukaryotic CellsGenome, BacterialHaemophilus influenzaeProkaryotic CellsProteinsSequence AnalysisSequence Homology, Amino AcidSpecies SpecificityVirusesProteins

Identifiers

PMID9342336
PMCPMC23653
OpenAlexW1967409098

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.