Evidence map›Paper›PMID 26578815›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Unexpected features of the dark proteome.

Nelson Perdigão, Julian Heinrich, Christian Stolte, Kenneth S Sabir, Michael J Buckley, Bruce Tabor, Beth Signal, Brian S Gloss, Christopher J Hammang, Burkhard Rost and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% 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

107 citing papers in PubMed, 1 synthesis or guideline pooled it, 210 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Shining light on the dark proteome with unstructural biology.Current research in structural biology · 2026
    Article
  8. Article
  9. Article
  10. Probing the dark energy in the functional protein universe.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. The Analysis ofCurrent issues in molecular biology · 2025
    Article
  17. Article
  18. Article
  19. Review
  20. Article

47 more citing papers are in PubMed but not listed here.

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

12 authors at 5 institutions in 3 countries.

Nelson PerdigãoInstituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal; Instituto de Sistemas e Robótica, 1049-001 Lisbon, Portugal;
Julian HeinrichCommonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, NSW 1670, Australia;
Christian StolteCommonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, NSW 1670, Australia;
Kenneth S SabirGenomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; School of Information Technology, The University of Sydney, Sydney, NSW 2006, Australia;
Michael J BuckleyCommonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, NSW 1670, Australia;
Bruce TaborCommonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, NSW 1670, Australia;
Beth SignalGenomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia;
Brian S GlossGenomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia;
Christopher J HammangGenomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia;
Burkhard RostDepartment for Bioinformatics and Computational Biology, Technische Universität München, 80333 Munich, Germany;
Andrea SchafferhansDepartment for Bioinformatics and Computational Biology, Technische Universität München, 80333 Munich, Germany;
Seán I O'DonoghueCommonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, NSW 1670, Australia; Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia; School of Molecular Bioscience, The University of Sydney, Sydney, NSW 2006, Australia sean@odonoghuelab.org.ORCID http://orcid.org/0000-0001-9520-6623
Commonwealth Scientific and Industrial Research Organisation · AUGarvan Institute of Medical Research · AUTechnical University of Munich · DEThe University of Sydney · AUUniversity of Lisbon · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We surveyed the "dark" proteome-that is, regions of proteins never observed by experimental structure determination and inaccessible to homology modeling. For 546,000 Swiss-Prot proteins, we found that 44-54% of the proteome in eukaryotes and viruses was dark, compared with only ∼14% in archaea and bacteria. Surprisingly, most of the dark proteome could not be accounted for by conventional explanations, such as intrinsic disorder or transmembrane regions. Nearly half of the dark proteome comprised dark proteins, in which the entire sequence lacked similarity to any known structure. Dark proteins fulfill a wide variety of functions, but a subset showed distinct and largely unexpected features, such as association with secretion, specific tissues, the endoplasmic reticulum, disulfide bonding, and proteolytic cleavage. Dark proteins also had short sequence length, low evolutionary reuse, and few known interactions with other proteins. These results suggest new research directions in structural and computational biology.

Indexed as

Databases, ProteinAlgorithmsAnimalsArchaeaBacteriaComputational BiologyEukaryotaHumansModels, MolecularProtein ConformationProteinsProteomeVirusesProteinsProteomeprotein disordersecreted proteinsstructure predictiontransmembrane proteinsunknown unknowns

Identifiers

PMID26578815
PMCPMC4702990
OpenAlexW2173591891

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.