Evidence map›Paper›PMID 15608230›Full record

ArticleNucleic acids research2005

GeneNet in 2005.

E A Ananko, N L Podkolodny, I L Stepanenko, O A Podkolodnaya, D A Rasskazov, D S Miginsky, V A Likhoshvai, A V Ratushny, N N Podkolodnaya, N A Kolchanov

Abstract read
In one paragraph

Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Genetic control of bristle pattern formation in Drosophila melanogaster.Doklady biological sciences : proceedings of the Academy of Sciences of the USSR, Biological sciences sections
    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

10 authors.

E A AnankoInstitute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Lavrentiev Avenue 10, Novosibirsk 630090, Russia. eananko@bionet.nsc.ru
N L Podkolodny
I L Stepanenko
O A Podkolodnaya
D A Rasskazov
D S Miginsky
V A Likhoshvai
A V Ratushny
N N Podkolodnaya
N A Kolchanov

Funding

HIGH THROUGHPUT ANNOTATION OF GENOMIC DNA SEQUENCER01HG001539 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI STOECKERT, CHRISTIAN J. · 1997 to 2003
$2.1M
NHGRI NIH HHS 2 R01-HG-01539-04A2NHGRI NIH HHS R01 HG001539
6 · The paper itself

Abstract

The GeneNet system is designed for collection and analysis of the data on gene and metabolic networks, signal transduction pathways and kinetic characteristics of elementary processes. In the past 2 years, the GeneNet structure was considerably improved: (i) the current version of the database is now implemented using ORACLE9i; (ii) the capacities to describe the structure of the protein complexes and the interactions between the units are increased; (iii) two tables with kinetic constants and more detailed descriptions of certain reactions were added; and (iv) a module for kinetic modeling was supplemented. The current SRS release of the GeneNet database contains 37 graphical maps of gene networks, as well as descriptions of 1766 proteins, 1006 genes, 241 small molecules and 3254 relationships between gene network units, and 552 kinetic constants. Information distributed between 16 interlinked tables was obtained by annotating 1980 journal publications. SRS release of the GeneNet database, the graphical viewer and the modeling section are available at http://wwwmgs.bionet.nsc.ru/mgs/gnw/genenet/.

Indexed as

Databases, GeneticMetabolismModels, GeneticComputer GraphicsComputer SimulationKineticsMultiprotein ComplexesSignal TransductionMultiprotein Complexes

Identifiers

PMID15608230
PMCPMC540031

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.