Evidence map›Paper›PMID 22962345›Full record

ArticleBioinformatics (Oxford, England)2012

Pythoscape: a framework for generation of large protein similarity networks.

Alan E Barber, Patricia C Babbitt

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Evolutionary and molecular foundations of multiple contemporary functions of the nitroreductase superfamily.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  15. Review
  16. Review
  17. Biocuration in the structure-function linkage database: the anatomy of a superfamily.Database : the journal of biological databases and curation · 2017
    Article
  18. Evaluating Functional Annotations of Enzymes Using the Gene Ontology.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  19. Article
  20. Review
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.

Alan E BarberDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA.
Patricia C Babbitt

Funding

PHARMACEUTICAL SCIENCES AND PHARMACOGENOMICST32GM007175 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, KROETZ, DEANNA L · 1985 to 2021
$7.1M
Laying the Foundation of Genomic EnzymologyR01GM060595 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BABBITT, PATRICIA CLEMENT · 2000 to 2018
$5.4M
NIGMS NIH HHS R01 GM060595NIGMS NIH HHS R01 GM60595NIGMS NIH HHS T32 GM007175
6 · The paper itself

Abstract

Pythoscape is a framework implemented in Python for processing large protein similarity networks for visualization in other software packages. Protein similarity networks are graphical representations of sequence, structural and other similarities among proteins for which pairwise all-by-all similarity connections have been calculated. Mapping of biological and other information to network nodes or edges enables hypothesis creation about sequence-structure-function relationships across sets of related proteins. Pythoscape provides several options to calculate pairwise similarities for input sequences or structures, applies filters to network edges and defines sets of similar nodes and their associated data as single nodes (termed representative nodes) for compression of network information and output data or formatted files for visualization.

Indexed as

SoftwareBase SequenceData CollectionData DisplayGlutathione TransferaseMultigene FamilyProteinsStructure-Activity RelationshipSubstrate SpecificityGlutathione TransferaseProteins

Identifiers

PMID22962345
PMCPMC3476340

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.