Evidence map›Paper›PMID 25725059›Full record

ArticleDatabase : the journal of biological databases and curation2015

LocSigDB: a database of protein localization signals.

Simarjeet Negi, Sanjit Pandey, Satish M Srinivasan, Akram Mohammed, Chittibabu Guda

Open access · goldAbstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. FungiProteomeDB: a database for the molecular weight and isoelectric points of the fungal proteomes.Database : the journal of biological databases and curation · 2023
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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

5 authors at 2 institutions in 1 country.

Simarjeet NegiDepartment of Genetics, Cell Biology and Anatomy, Bioinformatics and Systems Biology Core, Department of Biochemistry and Molecular Biology, Fred and Pamela Buffet Cancer Center and Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Sanjit PandeyDepartment of Genetics, Cell Biology and Anatomy, Bioinformatics and Systems Biology Core, Department of Biochemistry and Molecular Biology, Fred and Pamela Buffet Cancer Center and Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA Department of Genetics, Cell Biology and Anatomy, Bioinformatics and Systems Biology Core, Department of Biochemistry and Molecular Biology, Fred and Pamela Buffet Cancer Center and Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Satish M SrinivasanDepartment of Genetics, Cell Biology and Anatomy, Bioinformatics and Systems Biology Core, Department of Biochemistry and Molecular Biology, Fred and Pamela Buffet Cancer Center and Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Akram MohammedDepartment of Genetics, Cell Biology and Anatomy, Bioinformatics and Systems Biology Core, Department of Biochemistry and Molecular Biology, Fred and Pamela Buffet Cancer Center and Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Chittibabu GudaDepartment of Genetics, Cell Biology and Anatomy, Bioinformatics and Systems Biology Core, Department of Biochemistry and Molecular Biology, Fred and Pamela Buffet Cancer Center and Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA Department of Genetics, Cell Biology and Anatomy, Bioinformatics and Systems Biology Core, Department of Biochemistry and Molecular Biology, Fred and Pamela Buffet Cancer Center and Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA Department of Genetics, Cell Biology and Anatomy, Bioinformatics and Systems Biology Core, Department of Biochemistry and Molecular Biology, Fred and Pamela Buffet Cancer Center and Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA Department of Genetics, Cell Biology and Anatomy, Bioinformatics and Systems Biology Core, Department of Biochemistry and Molecular Biology, Fred and Pamela Buffet Cancer Center and Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA Department of Genetics, Cell Biology and Anatomy, Bioinformatics and Systems Biology Core, Department of Biochemistry and Molecular Biology, Fred and Pamela Buffet Cancer Center and Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA babu.guda@unmc.edu.
Fred and Pamela Buffett Cancer CenterUniversity of Nebraska Medical Center · US

Funding

Cataloging the subcellular and suborganellar proteomes of sequenced genomesR01GM086533 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GUDA, CHITTIBABU · 2009 to 2013
$911k
NIGMS NIH HHS R01 GM086533
6 · The paper itself

Abstract

LocSigDB (http://genome.unmc.edu/LocSigDB/) is a manually curated database of experimental protein localization signals for eight distinct subcellular locations; primarily in a eukaryotic cell with brief coverage of bacterial proteins. Proteins must be localized at their appropriate subcellular compartment to perform their desired function. Mislocalization of proteins to unintended locations is a causative factor for many human diseases; therefore, collection of known sorting signals will help support many important areas of biomedical research. By performing an extensive literature study, we compiled a collection of 533 experimentally determined localization signals, along with the proteins that harbor such signals. Each signal in the LocSigDB is annotated with its localization, source, PubMed references and is linked to the proteins in UniProt database along with the organism information that contain the same amino acid pattern as the given signal. From LocSigDB webserver, users can download the whole database or browse/search for data using an intuitive query interface. To date, LocSigDB is the most comprehensive compendium of protein localization signals for eight distinct subcellular locations. Database URL: http://genome.unmc.edu/LocSigDB/

Indexed as

Databases, ProteinAnimalsBacteriaEukaryotic CellsHumansProtein Sorting SignalsProtein TransportProtein Sorting Signals

Identifiers

PMID25725059
PMCPMC4343182
OpenAlexW2145625192

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.