Evidence map›Paper›PMID 24911789›Full record

ArticlePloS one2014

CELLO2GO: a web server for protein subCELlular LOcalization prediction with functional gene ontology annotation.

Chin-Sheng Yu, Chih-Wen Cheng, Wen-Chi Su, Kuei-Chung Chang, Shao-Wei Huang, Jenn-Kang Hwang, Chih-Hao Lu

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 234 papers.

0numbers the graph read from it
0cells of the map it votes in
234citing 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

234 citing papers in PubMed.

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  10. Pangenome-assisted characterization of TaBAM genes and association of TaBAM16-1B with NDVI in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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174 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.

Chin-Sheng YuDepartment of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan; Master's Program in Biomedical Informatics and Biomedical Engineering, Feng Chia University, Taichung, Taiwan.
Chih-Wen ChengDepartment of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan.
Wen-Chi SuDepartment of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan.
Kuei-Chung ChangDepartment of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan.
Shao-Wei HuangDepartment of Medical Informatics, Tzu Chi University, Hualien, Taiwan.
Jenn-Kang HwangInstitute of Bioinformatics and Systems Biology, National Chiao Tung University, Hsinchu, Taiwan; Center of Bioinformatics Research, National Chiao Tung University, Hsinchu, Taiwan.
Chih-Hao LuGraduate Institute of Basic Medical Science, China Medical University, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CELLO2GO (http://cello.life.nctu.edu.tw/cello2go/) is a publicly available, web-based system for screening various properties of a targeted protein and its subcellular localization. Herein, we describe how this platform is used to obtain a brief or detailed gene ontology (GO)-type categories, including subcellular localization(s), for the queried proteins by combining the CELLO localization-predicting and BLAST homology-searching approaches. Given a query protein sequence, CELLO2GO uses BLAST to search for homologous sequences that are GO annotated in an in-house database derived from the UniProt KnowledgeBase database. At the same time, CELLO attempts predict at least one subcellular localization on the basis of the species in which the protein is found. When homologs for the query sequence have been identified, the number of terms found for each of their GO categories, i.e., cellular compartment, molecular function, and biological process, are summed and presented as pie charts representing possible functional annotations for the queried protein. Although the experimental subcellular localization of a protein may not be known, and thus not annotated, CELLO can confidentially suggest a subcellular localization. CELLO2GO should be a useful tool for research involving complex subcellular systems because it combines CELLO and BLAST into one platform and its output is easily manipulated such that the user-specific questions may be readily addressed.

Indexed as

Databases, GeneticSoftwareBacterial ProteinsComputational BiologyDatasets as TopicInternetMolecular Sequence AnnotationProteinsProtein TransportUser-Computer InterfaceBacterial ProteinsProteins

Identifiers

PMID24911789
PMCPMC4049835

What OpenQuestion holds

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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.