PROFESS: a PROtein function, evolution, structure and sequence database.

Thomas Triplet, Matthew D. Shortridge, Mark A. Griep, Jaime L. Stark, Robert Powers, Peter Revesz

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


The proliferation of biological databases and the easy access enabled by the Internet is having a beneficial impact on biological sciences and transforming the way research is conducted. There are approximately 1100 molecular biology databases dispersed throughout the Internet. To assist in the functional, structural and evolutionary analysis of the abundant number of novel proteins continually identified from whole-genome sequencing, we introduce the PROFESS (PROtein Function, Evolution, Structure and Sequence) database. Our database is designed to be versatile and expandable and will not confine analysis to a pre-existing set of data relationships. A fundamental component of this approach is the development of an intuitive query system that incorporates a variety of similarity functions capable of generating data relationships not conceived during the creation of the database. The utility of PROFESS is demonstrated by the analysis of the structural drift of homologous proteins and the identification of potential pancreatic cancer therapeutic targets based on the observation of protein-protein interaction networks. Database URL:

Original languageEnglish (US)
Pages (from-to)baq011
JournalDatabase : the journal of biological databases and curation
StatePublished - 2010
Externally publishedYes

ASJC Scopus subject areas

  • Information Systems
  • General Biochemistry, Genetics and Molecular Biology
  • General Agricultural and Biological Sciences


Dive into the research topics of 'PROFESS: a PROtein function, evolution, structure and sequence database.'. Together they form a unique fingerprint.

Cite this