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TEXTAL™
A Pattern Recognition System for Modeling Proteins

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Red Hat Linux and OSX versions of TEXTAL™ can be downloaded from here. TEXTAL™ is also available in PHENIX .


News!

  • Determine NCS operators with PRANCS
  • TEXTAL™ 2.0 is now available through WebTex and PHENIX
  • TEXTAL™ 2.0 for Red Hat 9.0 is now available for download
    More news



    Main references for TEXTAL™ & CAPRA

    Ioerger, T.R. and Sacchettini, J.C. (2003). The TEXTAL System: Artificial Intelligence Techniques for Automated Protein Model Building. In Carter, C. and Sweet, R. eds. Methods in Enzymology 374:244-270.

    Ioerger, T.R. and Sacchettini, J.C. (2002). Automatic Modeling of Protein Backbones in Electron Density Maps via Prediction of C-alpha Coordinates. Acta Crystallographica D58(12):2043-2054.



  • TEXTAL™ takes structure factors or an electron density map as input and infers local molecular structure in maps by finding regions with similar patterns of density in previously solved maps. The resulting structural segments can be used for subsequent manual refinement by a crystallographer, or combined with post-processing routines to generate a complete model.




    TEXTAL™ comprises of essentially four steps: (1) the molecule is located by FINDMOL; (2) the backbone is modeled by CAPRA (C-Alpha Pattern Recognition Algorithm); (3) side chains are determined by LOOKUP; (4) the model is refined by post-processing routines, including sequence alignment and real space refinenent.

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