Evidence map›Paper›PMID 11752318›Full record

ArticleNucleic acids research2002

GTOP: a database of protein structures predicted from genome sequences.

Takeshi Kawabata, Satoshi Fukuchi, Keiichi Homma, Motonori Ota, Jiro Araki, Takehiko Ito, Nobuyuki Ichiyoshi, Ken Nishikawa

Abstract read
In one paragraph

Article in Nucleic acids research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  10. Sub-AQUA: real-value quality assessment of protein structure models.Protein engineering, design & selection : PEDS · 2010
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  15. Bimodal protein solubility distribution revealed by an aggregation analysis of the entire ensemble of Escherichia coli proteins.Proceedings of the National Academy of Sciences of the United States of America · 2009
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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.

Takeshi KawabataCenter for Information Biology and DNA Data Bank of Japan, National Institute of Genetics, 1-111 Yata, Mishima, Shizuoka 411-8540, Japan.
Satoshi Fukuchi
Keiichi Homma
Motonori Ota
Jiro Araki
Takehiko Ito
Nobuyuki Ichiyoshi
Ken Nishikawa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale genome projects generate an unprecedented number of protein sequences, most of them are experimentally uncharacterized. Predicting the 3D structures of sequences provides important clues as to their functions. We constructed the Genomes TO Protein structures and functions (GTOP) database, containing protein fold predictions of a huge number of sequences. Predictions are mainly carried out with the homology search program PSI-BLAST, currently the most popular among high-sensitivity profile search methods. GTOP also includes the results of other analyses, e.g. homology and motif search, detection of transmembrane helices and repetitive sequences. We have completed analyzing the sequences of 41 organisms, with the number of proteins exceeding 120 000 in total. GTOP uses a graphical viewer to present the analytical results of each ORF in one page in a 'color-bar' format. The assigned 3D structures are presented by Chime plug-in or RasMol. The binding sites of ligands are also included, providing functional information. The GTOP server is available at http://spock.genes.nig.ac.jp/~genome/gtop.html.

Indexed as

Databases, ProteinGenomeAmino Acid MotifsAnimalsForecastingHumansImaging, Three-DimensionalInformation Storage and RetrievalInternetOpen Reading FramesProtein FoldingProteinsProtein Structure, TertiaryRepetitive Sequences, Amino AcidSequence AlignmentSequence Homology, Amino AcidProteins

Identifiers

PMID11752318
PMCPMC99104

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.