TEXTAL: AI-Based Structural Determination for X-ray Protein Crystallography

  • Authors:

  • Tod Romo;Kreshna Gopal;Erik McKee;Lalji Kanbi;Reetal Pai;Jacob Smith;James Sacchettini;Thomas Ioerger

  • Affiliations:

  • Texas A&M University;Texas A&M University;Texas A&M University;Texas A&M University;Texas A&M University;Texas A&M University;Texas A&M University;Texas A&M University

  • Venue:
  • IEEE Intelligent Systems
  • Year:
  • 2005

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Abstract

TEXTAL is a deployed application that uses various AI and non-AI techniques to automate the building of 3D protein models from X-ray crystallographic data.TEXTAL is available as a Web-based interface called WebTex, a component of an integrated crystallography software environment called PHENIX, and a binary executable distribution. TEXTAL facilitates the rapid determination of unknown protein structures, a vital component to high throughput crystallography, which is important for structural genomics projects.It has also proved to be particularly useful when the data quality is moderate to poor, which is often the case.This article is part of a special issue on data mining in bioinformatics.