Evidence map›Paper›PMID 15215452›Full record

ArticleNucleic acids research2004

CHOP: parsing proteins into structural domains.

Jinfeng Liu, Burkhard Rost

Abstract read
In one paragraph

Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Approaches for the Identification of Intrinsically Disordered Protein Domains.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  2. Protein domain identification methods and online resources.Computational and structural biotechnology journal · 2021
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Structural genomics is the largest contributor of novel structural leverage.Journal of structural and functional genomics · 2009
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. NMPdb: Database of Nuclear Matrix Proteins.Nucleic acids research · 2005
    Article
  15. Sequence-based prediction of protein domains.Nucleic acids research · 2004
    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.

Jinfeng LiuCUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, 650 West 168th Street BB217, New York, NY 10032, USA.
Burkhard Rost

Funding

STRUCTURAL GENOMICS OF EUKARYOTIC MODEL ORGANISMSP50GM062413 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI MONTELIONE, GAETANO T · 2000 to 2004
$33.5M
Predictions of structure/function by PredictProteinR01LM007329 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PE'ER, ITSHACK G · 2003 to 2010
$2.6M
Intruding into the midnight zone of protein comparisonsR01GM063029 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ROST, BURKHARD · 2001 to 2004
$1.1M
Predicting putative protein-protein interface segmentsR01GM064633 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ROST, BURKHARD · 2003 to 2006
$1.1M
NIGMS NIH HHS P50 GM062413NIGMS NIH HHS R01 GM063029NIGMS NIH HHS R01 GM064633NLM NIH HHS R01 LM007329
6 · The paper itself

Abstract

Sequence-based domain assignment is one of the most important and challenging problems in structural biology. We have developed a method, CHOP, that chops proteins into domain-like fragments. The basic idea is to cut proteins from entirely sequenced organisms beginning from very reliable experimental information (Protein Data Bank), proceeding to expert annotations of domain-like regions (Pfam-A) and completing through cuts based on termini of native protein ends. The CHOP server takes protein sequences as input and returns the dissections supported by homology transfer. CHOP results are precompiled for many entirely sequenced proteomes. The service is available at http://www.rostlab.org/services/CHOP/.

Indexed as

Protein Structure, TertiarySequence Analysis, ProteinSoftwareAlgorithmsInternetProteomicsSequence Homology, Amino AcidUser-Computer Interface

Identifiers

PMID15215452
PMCPMC441619

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.