Evidence map›Paper›PMID 21062816›Full record

ArticleNucleic acids research2011

SUPERFAMILY 1.75 including a domain-centric gene ontology method.

David A de Lima Morais, Hai Fang, Owen J L Rackham, Derek Wilson, Ralph Pethica, Cyrus Chothia, Julian Gough

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing 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

98 citing papers in PubMed.

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  11. International journal of molecular sciences · 2023
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  16. What Is Parvalbumin for?Biomolecules · 2022
    Review
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  19. The aqueous humor proteome is intrinsically disordered.Biochemistry and biophysics reports · 2022
    Article
  20. Article

38 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

7 authors.

David A de Lima MoraisDepartment of Computer Science, University of Bristol, The Merchant Venturers Building, Bristol BS8 1UB, UK. dmorais@cs.bris.ac.uk
Hai Fang
Owen J L Rackham
Derek Wilson
Ralph Pethica
Cyrus Chothia
Julian Gough

Funding

Biotechnology and Biological Sciences Research Council BB/G022771/1Biotechnology and Biological Sciences Research Council G022771Medical Research Council MC_U105184318
6 · The paper itself

Abstract

The SUPERFAMILY resource provides protein domain assignments at the structural classification of protein (SCOP) superfamily level for over 1400 completely sequenced genomes, over 120 metagenomes and other gene collections such as UniProt. All models and assignments are available to browse and download at http://supfam.org. A new hidden Markov model library based on SCOP 1.75 has been created and a previously ignored class of SCOP, coiled coils, is now included. Our scoring component now uses HMMER3, which is in orders of magnitude faster and produces superior results. A cloud-based pipeline was implemented and is publicly available at Amazon web services elastic computer cloud. The SUPERFAMILY reference tree of life has been improved allowing the user to highlight a chosen superfamily, family or domain architecture on the tree of life. The most significant advance in SUPERFAMILY is that now it contains a domain-based gene ontology (GO) at the superfamily and family levels. A new methodology was developed to ensure a high quality GO annotation. The new methodology is general purpose and has been used to produce domain-based phenotypic ontologies in addition to GO.

Indexed as

Databases, ProteinProtein Structure, TertiaryGenesPhenotypePhylogenyProteinsSequence Analysis, ProteinSoftwareProteins

Identifiers

PMID21062816
PMCPMC3013712

What OpenQuestion holds

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LicenceCC BY-NC
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.