標題: CELLO2GO: A Web Server for Protein subCELlular LOcalization Prediction with Functional Gene Ontology Annotation
作者: Yu, Chin-Sheng
Cheng, Chih-Wen
Su, Wen-Chi
Chang, Kuei-Chung
Huang, Shao-Wei
Hwang, Jenn-Kang
Lu, Chih-Hao
生物資訊及系統生物研究所
Institude of Bioinformatics and Systems Biology
公開日期: 9-六月-2014
摘要: 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.
URI: http://dx.doi.org/10.1371/journal.pone.0099368
http://hdl.handle.net/11536/24644
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0099368
期刊: PLOS ONE
Volume: 9
Issue: 6
結束頁: 
顯示於類別:期刊論文


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  1. 000337165600077.pdf