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Literature DB >> 16267085

BioThesaurus: a web-based thesaurus of protein and gene names.

Hongfang Liu¹, Zhang-Zhi Hu, Jian Zhang, Cathy Wu.

Abstract

UNLABELLED: BioThesaurus is a web-based system designed to map a comprehensive collection of protein and gene names to protein entries in the UniProt Knowledgebase. Currently covering more than two million proteins, BioThesaurus consists of over 2.8 million names extracted from multiple molecular biological databases according to the database cross-references in iProClass. The BioThesaurus web site allows the retrieval of synonymous names of given protein entries and the identification of protein entries sharing the same names. AVAILABILITY: BioThesaurus is accessible for online searching at http://pir.georgetown.edu/iprolink/biothesaurus

Mesh：

Substances：
Proteins

Year: 2005 PMID： 16267085 DOI： 10.1093/bioinformatics/bti749

Source DB: PubMed Journal: Bioinformatics ISSN： 1367-4803 Impact factor: 6.937

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Cited

43 in total

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3. BioTagger-GM: a gene/protein name recognition system.

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4. Bayesian inference of protein-protein interactions from biological literature.

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5. MPI-LIT: a literature-curated dataset of microbial binary protein--protein interactions.

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Journal: Bioinformatics Date: 2008-09-11 Impact factor: 6.937

BioThesaurus: a web-based thesaurus of protein and gene names.

1. Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations.

2. Quantitative assessment of dictionary-based protein named entity tagging.

3. BioTagger-GM: a gene/protein name recognition system.

4. Bayesian inference of protein-protein interactions from biological literature.

5. MPI-LIT: a literature-curated dataset of microbial binary protein--protein interactions.

6. Using machine learning for concept extraction on clinical documents from multiple data sources.

7. PathText: a text mining integrator for biological pathway visualizations.

8. Biomedical text mining and its applications.

9. Incorporating rich background knowledge for gene named entity classification and recognition.

10. Identifying and classifying biomedical perturbations in text.