================================================
PRotein Ontology (PRO) Release 31.0, version 0
10-January-2013

The Protein Ontology Consortium--Protein Information Resource, The Jackson Laboratory, Reactome, and the Department of Philosophy at the State University of New York at Buffalo--is pleased to announce PRO Release 31.0 (10-January-2013). PRO describes the relationships of proteins and protein evolutionary classes, delineates the multiple protein forms of a gene locus (ontology for protein forms), protein complexes, and interconnects existing ontologies. Further information is available at http://pir.georgetown.edu/pro/.

In PRO Release 31.0, version 0:

There are 35411 PRO terms
       1 terms are in the 'family-modification' category.
     325 terms are in the 'family' category.
   24117 terms are in the 'gene' category.
    1618 terms are in the 'sequence' category.
    6455 terms are in the 'modification' category.
     130 terms are in the 'complex' category.
       4 terms are in the 'organism-family' category.
     929 terms are in the 'organism-gene' category.
     658 terms are in the 'organism-sequence' category.
     716 terms are in the 'organism-modification' category.
     253 terms are in the 'organism-complex' category.
      16 terms are in the 'union' category.
1777 terms have some kind of annotation, codifying the information from 1240 papers.
    2893 connections to GO (965 PRO terms).
     374 connections to MOD (328 PRO terms).
     610 connections to Pfam (365 PRO terms).
     338 connections to SO (317 PRO terms).
     344 annotations of a phenotype (337 PRO terms).


The ontology includes a subset of terms from GO, MOD, CHEBI, and SO ontologies that are used for logical definitions.  If using OBO Edit to view PRO, please turn on the reasoner in order to display the hierarchy.

_Current changes_

1) Please note that this release still contains a number of duplicate names and synonyms. These will be resolved in upcoming releases.

_Forthcoming changes_

1) Continue to add shorthand labels to terms.
2) Continue to expand the set of mapped terms.
3) Resolve names and synonym duplicates.

================================================