title: OralCard: a bioinformatic tool for the study of oral proteome.
abstract: OBJECTIVE
  The molecular complexity of the human oral cavity can only be clarified through identification of components that participate within it. However current proteomic techniques produce high volumes of information that are dispersed over several online databases. Collecting all of this data and using an integrative approach capable of identifying unknown associations is still an unsolved problem. This is the main motivation for this work.
  
  
  RESULTS
  We present the online bioinformatic tool OralCard, which comprises results from 55 manually curated articles reflecting the oral molecular ecosystem (OralPhysiOme). It comprises experimental information available from the oral proteome both of human (OralOme) and microbial origin (MicroOralOme) structured in protein, disease and organism.
  
  
  CONCLUSIONS
  This tool is a key resource for researchers to understand the molecular foundations implicated in biology and disease mechanisms of the oral cavity. The usefulness of this tool is illustrated with the analysis of the oral proteome associated with diabetes melitus type 2. OralCard is available at http://bioinformatics.ua.pt/oralcard.
authors: Department of Electronics, Telecommunications and Informatics (DETI), Institute of Electronics and Telematics Engineering of Aveiro (IEETA), University of Aveiro, Portugal. jpa@ua.pt
authors: Joel P
authors: JP
authors: Arrais
authors: Nuno
authors: N
authors: Rosa
authors: José
authors: J
authors: Melo
authors: Edgar D
authors: ED
authors: Coelho
authors: Diana
authors: D
authors: Amaral
authors: Maria José
authors: MJ
authors: Correia
authors: Marlene
authors: M
authors: Barros
authors: José Luís
authors: JL
authors: Oliveira
mesh_terms: D019295:Computational Biology / Q000379:methods*; D057225:Data Mining; D030562:Databases, Protein; D003924:Diabetes Mellitus, Type 2 / Q000378:metabolism / Q000382:microbiology*; D006801:Humans; D064307:Microbiota / Q000502:physiology; D009055:Mouth / Q000737:chemistry* / Q000382:microbiology; D011506:Proteins / Q000032:analysis* / Q000502:physiology; D020543:Proteome; D040901:Proteomics / Q000379:methods*; D012985:Software Design
chemical_list: D011506:Proteins; D020543:Proteome