ArticleProtein science : a publication of the Protein Society2006
Functional annotation prediction: all for one and one for all.
Article in Protein science : a publication of the Protein Society, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Review
- Bioinformatics characterization of BcsA-like orphan proteins suggest they form a novel family of pseudomonad cyclic-β-glucan synthases.PloS one · 2023Article
- Protein function prediction with gene ontology: from traditional to deep learning models.PeerJ · 2021Article
- Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation Sequencing.Biology · 2020Review
- ProtoBug: functional families from the complete proteomes of insects.Database : the journal of biological databases and curation · 2015Article
- Seq2Ref: a web server to facilitate functional interpretation.BMC bioinformatics · 2013Article
- ProtoNet 6.0: organizing 10 million protein sequences in a compact hierarchical family tree.Nucleic acids research · 2012Article
- Article
- PANDORA: analysis of protein and peptide sets through the hierarchical integration of annotations.Nucleic acids research · 2010Article
- Rapid annotation of anonymous sequences from genome projects using semantic similarities and a weighting scheme in gene ontology.PloS one · 2009Article
- Efficient algorithms for accurate hierarchical clustering of huge datasets: tackling the entire protein space.Bioinformatics (Oxford, England) · 2008Article
- Functional annotation strategy for protein structures.Bioinformation · 2007Article
- ProtoBee: hierarchical classification and annotation of the honey bee proteome.Genome research · 2006Article
- New avenues in protein function prediction.Protein science : a publication of the Protein Society · 2006Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In an era of rapid genome sequencing and high-throughput technology, automatic function prediction for a novel sequence is of utter importance in bioinformatics. While automatic annotation methods based on local alignment searches can be simple and straightforward, they suffer from several drawbacks, including relatively low sensitivity and assignment of incorrect annotations that are not associated with the region of similarity. ProtoNet is a hierarchical organization of the protein sequences in the UniProt database. Although the hierarchy is constructed in an unsupervised automatic manner, it has been shown to be coherent with several biological data sources. We extend the ProtoNet system in order to assign functional annotations automatically. By leveraging on the scaffold of the hierarchical classification, the method is able to overcome some frequent annotation pitfalls.
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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.