Literature DB >> 28150233

Tutorial on Protein Ontology Resources.

Cecilia N Arighi1, Harold Drabkin2, Karen R Christie2, Karen E Ross3, Darren A Natale4.   

Abstract

The Protein Ontology (PRO) is the reference ontology for proteins in the Open Biomedical Ontologies (OBO) foundry and consists of three sub-ontologies representing protein classes of homologous genes, proteoforms (e.g., splice isoforms, sequence variants, and post-translationally modified forms), and protein complexes. PRO defines classes of proteins and protein complexes, both species-specific and species nonspecific, and indicates their relationships in a hierarchical framework, supporting accurate protein annotation at the appropriate level of granularity, analyses of protein conservation across species, and semantic reasoning. In the first section of this chapter, we describe the PRO framework including categories of PRO terms and the relationship of PRO to other ontologies and protein resources. Next, we provide a tutorial about the PRO website ( proconsortium.org ) where users can browse and search the PRO hierarchy, view reports on individual PRO terms, and visualize relationships among PRO terms in a hierarchical table view, a multiple sequence alignment view, and a Cytoscape network view. Finally, we describe several examples illustrating the unique and rich information available in PRO.

Entities:  

Keywords:  Orthologs; Post-translational modification; Protein complexes; Protein ontology; Proteoforms

Mesh:

Substances:

Year:  2017        PMID: 28150233      PMCID: PMC5393632          DOI: 10.1007/978-1-4939-6783-4_3

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  32 in total

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2.  Cytoscape: a software environment for integrated models of biomolecular interaction networks.

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3.  Evolution of the Sequence Ontology terms and relationships.

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4.  Yeast mitochondrial protein-protein interactions reveal diverse complexes and disease-relevant functional relationships.

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Journal:  J Proteome Res       Date:  2015-01-20       Impact factor: 4.466

5.  Identification of novel alternative splice isoforms of circulating proteins in a mouse model of human pancreatic cancer.

Authors:  Rajasree Menon; Qing Zhang; Yan Zhang; Damian Fermin; Nabeel Bardeesy; Ronald A DePinho; Chunxia Lu; Samir M Hanash; Gilbert S Omenn; David J States
Journal:  Cancer Res       Date:  2009-01-01       Impact factor: 12.701

Review 6.  Alternative splice variants, a new class of protein cancer biomarker candidates: findings in pancreatic cancer and breast cancer with systems biology implications.

Authors:  Gilbert S Omenn; Anastasia K Yocum; Rajasree Menon
Journal:  Dis Markers       Date:  2010       Impact factor: 3.434

7.  The neurological disease ontology.

Authors:  Mark Jensen; Alexander P Cox; Naveed Chaudhry; Marcus Ng; Donat Sule; William Duncan; Patrick Ray; Bianca Weinstock-Guttman; Barry Smith; Alan Ruttenberg; Kinga Szigeti; Alexander D Diehl
Journal:  J Biomed Semantics       Date:  2013-12-06

8.  Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data.

Authors:  Warren A Kibbe; Cesar Arze; Victor Felix; Elvira Mitraka; Evan Bolton; Gang Fu; Christopher J Mungall; Janos X Binder; James Malone; Drashtti Vasant; Helen Parkinson; Lynn M Schriml
Journal:  Nucleic Acids Res       Date:  2014-10-27       Impact factor: 16.971

Review 9.  Ubiquitin - omics reveals novel networks and associations with human disease.

Authors:  Benedikt M Kessler
Journal:  Curr Opin Chem Biol       Date:  2013-01-19       Impact factor: 8.822

10.  The Pfam protein families database: towards a more sustainable future.

Authors:  Robert D Finn; Penelope Coggill; Ruth Y Eberhardt; Sean R Eddy; Jaina Mistry; Alex L Mitchell; Simon C Potter; Marco Punta; Matloob Qureshi; Amaia Sangrador-Vegas; Gustavo A Salazar; John Tate; Alex Bateman
Journal:  Nucleic Acids Res       Date:  2015-12-15       Impact factor: 16.971

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