Evidence map›Paper›PMID 15215409›Full record

ArticleNucleic acids research2004

CysView: protein classification based on cysteine pairing patterns.

Johann Lenffer, Paulo Lai, Wafaa El Mejaber, Asif M Khan, Judice L Y Koh, Paul T J Tan, Seng H Seah, Vladimir Brusic

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Amino acid patterns around disulfide bonds.International journal of molecular sciences · 2010
    Article
  10. Article
  11. ClanTox: a classifier of short animal toxins.Nucleic acids research · 2009
    Article
  12. Article
  13. 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

8 authors.

Johann LenfferInstitute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore.
Paulo Lai
Wafaa El Mejaber
Asif M Khan
Judice L Y Koh
Paul T J Tan
Seng H Seah
Vladimir Brusic

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CysView is a web-based application tool that identifies and classifies proteins according to their disulfide connectivity patterns. It accepts a dataset of annotated protein sequences in various formats and returns a graphical representation of cysteine pairing patterns. CysView displays cysteine patterns for those records in the data with disulfide annotations. It allows the viewing of records grouped by connectivity patterns. CysView's utility as an analysis tool was demonstrated by the rapid and correct classification of scorpion toxin entries from GenPept on the basis of their disulfide pairing patterns. It has proved useful for rapid detection of irrelevant and partial records, or those with incomplete annotations. CysView can be used to support distant homology between proteins. CysView is publicly available at http://research.i2r.a-star.edu.sg/CysView/.

Indexed as

SoftwareComputer GraphicsCysteineDisulfidesInternetProteinsScorpion VenomsUser-Computer InterfaceCysteineDisulfidesProteinsScorpion Venoms

Identifiers

PMID15215409
PMCPMC441613

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.