These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Protein structural domain parsing by consensus reasoning over multiple knowledge sources and methods.
    Author: Kulikowski CA, Muchnik I, Yun HJ, Dayanik AA, Zhang D, Song Y, Montelione GT.
    Journal: Stud Health Technol Inform; 2001; 84(Pt 2):965-9. PubMed ID: 11604875.
    Abstract:
    Domain parsing, or the detection of signals of protein structural domains from sequence data, is a complex and difficult problem. If carried out reliably it would be a powerful interpretive and predictive tool for genomic and proteomic studies. We report on a novel approach to domain parsing using consensus techniques based on Hidden Markov Models (HMMs) and BLAST searches built from a training set of 1471 continuous structural domains from the Dali Domain Dictionary (DDD). Validation on an independent test sample of family-matched structural domain sequences from the Scop database yields a consensus prediction performance rate of 75.5%, well above the 58% obtained by simple agreement of methods.
    [Abstract] [Full Text] [Related] [New Search]