4.8 Article

(DP2)-P-2: database of disordered protein predictions

期刊

NUCLEIC ACIDS RESEARCH
卷 41, 期 D1, 页码 D508-D516

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nar/gks1226

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资金

  1. Engineering and Physical Research Council (EPSRC) [EP/E501214/1]
  2. University of Alberta
  3. Natural Sciences and Engineering Research Council of Canada (NSERC)
  4. Russian Academy of Sciences for Molecular and Cellular Biology
  5. US National Science Foundation [EF 0849803]
  6. Biotechnology and Biological Sciences Research Council (BBSRC) [BB/G022771/1]
  7. Bolyai Janos fellowship
  8. BBSRC [BB/G022771/1] Funding Source: UKRI
  9. Biotechnology and Biological Sciences Research Council [BB/G022771/1] Funding Source: researchfish

向作者/读者索取更多资源

We present the Database of Disordered Protein Prediction ((DP2)-P-2), available at http://d2p2.pro (including website source code). A battery of disorder predictors and their variants, VL-XT, VSL2b, PrDOS, PV2, Espritz and IUPred, were run on all protein sequences from 1765 complete proteomes (to be updated as more genomes are completed). Integrated with these results are all of the predicted (mostly structured) SCOP domains using the SUPERFAMILY predictor. These disorder/structure annotations together enable comparison of the disorder predictors with each other and examination of the overlap between disordered predictions and SCOP domains on a large scale. (DP2)-P-2 will increase our understanding of the interplay between disorder and structure, the genomic distribution of disorder, and its evolutionary history. The parsed data are made available in a unified format for download as flat files or SQL tables either by genome, by predictor, or for the complete set. An interactive website provides a graphical view of each protein annotated with the SCOP domains and disordered regions from all predictors overlaid (or shown as a consensus). There are statistics and tools for browsing and comparing genomes and their disorder within the context of their position on the tree of life.

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