Evidence map›Paper›PMID 21824995›Full record

ArticleGenome research2011

The Proteome Folding Project: proteome-scale prediction of structure and function.

Kevin Drew, Patrick Winters, Glenn L Butterfoss, Viktors Berstis, Keith Uplinger, Jonathan Armstrong, Michael Riffle, Erik Schweighofer, Bill Bovermann, David R Goodlett and 4 more

Abstract read
In one paragraph

Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Homology modeling in a dynamical world.Protein science : a publication of the Protein Society · 2017
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Use of a structural alphabet to find compatible folds for amino acid sequences.Protein science : a publication of the Protein Society · 2015
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Tertiary model of a plant cellulose synthase.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  19. Article
  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

14 authors.

Kevin DrewCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, New York 10003, USA.
Patrick Winters
Glenn L Butterfoss
Viktors Berstis
Keith Uplinger
Jonathan Armstrong
Michael Riffle
Erik Schweighofer
Bill Bovermann
David R Goodlett
Trisha N Davis
Dennis Shasha
Lars Malmström
Richard Bonneau

Funding

Variation in Human Innate ImmunityU54AI057141 · NIAID · UNIVERSITY OF WASHINGTON · PI STETSON, DANIEL B · 2003 to 2013
$102.3M
ZDS2P REGULATES SWE1P-DEPENDENT POLARIZED CELL GROWTH IN S CEREVISIAEP41RR011823 · NCRR · UNIVERSITY OF WASHINGTON · PI DAVIS, TRACY · 1996 to 2011
$24.7M
TRANS-NETWORK PROJECTSU54CA143907 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NOLAN, GARRY P · 2009 to 2013
$15.2M
Elucidation of the transcriptional network underlying the Th17 lineage program.RC4AI092765 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BONNEAU, RICHARD A, LITTMAN, DAN · 2010 to 2013
$4.8M
Training program in Molecular BiophysicsT32GM088118 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI STOKES, DAVID L. · 2010 to 2019
$1.8M
MULTI-TIERED PROTEOMIC COMPUTE CLUSTER: PARKINSON'S DISEASES10RR023044 · NCRR · UNIVERSITY OF WASHINGTON · PI GOODLETT, DAVID ROBINSON · 2006 to 2006
$500k
NCI NIH HHS U54 CA143907NCI NIH HHS U54CA143907-01NCRR NIH HHS 1S10RR023044-01NCRR NIH HHS P41 RR011823NCRR NIH HHS P41-RR11823NCRR NIH HHS S10 RR023044NIAID NIH HHS 5 U54 AI057141-03NIAID NIH HHS RC4 AI092765NIAID NIH HHS RC4 AI092765-01NIAID NIH HHS U54 AI057141NIGMS NIH HHS T32 GM088118NIGMS NIH HHS T32-GM-088118-01
6 · The paper itself

Abstract

The incompleteness of proteome structure and function annotation is a critical problem for biologists and, in particular, severely limits interpretation of high-throughput and next-generation experiments. We have developed a proteome annotation pipeline based on structure prediction, where function and structure annotations are generated using an integration of sequence comparison, fold recognition, and grid-computing-enabled de novo structure prediction. We predict protein domain boundaries and three-dimensional (3D) structures for protein domains from 94 genomes (including human, Arabidopsis, rice, mouse, fly, yeast, Escherichia coli, and worm). De novo structure predictions were distributed on a grid of more than 1.5 million CPUs worldwide (World Community Grid). We generated significant numbers of new confident fold annotations (9% of domains that are otherwise unannotated in these genomes). We demonstrate that predicted structures can be combined with annotations from the Gene Ontology database to predict new and more specific molecular functions.

Indexed as

Protein FoldingAnimalsChorismate MutaseDeinococcusDrosophila ProteinsGenomeGlucosyltransferasesHumansMiceMolecular Sequence AnnotationNuclear ProteinsPlasmodium vivaxProtein ConformationProtein Structure, TertiaryProteomeProtozoan ProteinsChorismate MutaseDrosophila ProteinsGlucosyltransferasesNuclear ProteinsProteomeProtozoan ProteinsRumi protein, DrosophilaTransglutaminases

Identifiers

PMID21824995
PMCPMC3205581

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.