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

Intelligent Systems
2005
Issue No. 6 - November/December
Abstract - TEXTAL: AI-Based Structural Determination for X-ray Protein Crystallography

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November/December 2005 (vol. 20 no. 6)

pp. 59-63

	ASCII Text	x
	Tod Romo, Kreshna Gopal, Erik McKee, Lalji Kanbi, Reetal Pai, Jacob Smith, James Sacchettini, Thomas Ioerger, "TEXTAL: AI-Based Structural Determination for X-ray Protein Crystallography," IEEE Intelligent Systems, vol. 20, no. 6, pp. 59-63, November/December, 2005.

	BibTex	x
	@article{ 10.1109/MIS.2005.114, author = {Tod Romo and Kreshna Gopal and Erik McKee and Lalji Kanbi and Reetal Pai and Jacob Smith and James Sacchettini and Thomas Ioerger}, title = {TEXTAL: AI-Based Structural Determination for X-ray Protein Crystallography}, journal ={IEEE Intelligent Systems}, volume = {20}, number = {6}, issn = {1541-1672}, year = {2005}, pages = {59-63}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2005.114}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - MGZN JO - IEEE Intelligent Systems TI - TEXTAL: AI-Based Structural Determination for X-ray Protein Crystallography IS - 6 SN - 1541-1672 SP59 EP63 EPD - 59-63 A1 - Tod Romo, A1 - Kreshna Gopal, A1 - Erik McKee, A1 - Lalji Kanbi, A1 - Reetal Pai, A1 - Jacob Smith, A1 - James Sacchettini, A1 - Thomas Ioerger, PY - 2005 KW - structural biology KW - X-ray crystallography KW - artificial intelligence KW - pattern recognition VL - 20 JA - IEEE Intelligent Systems ER -

Tod Romo, Texas A&M University

Kreshna Gopal, Texas A&M University

Erik McKee, Texas A&M University

Lalji Kanbi, Texas A&M University

Reetal Pai, Texas A&M University

Jacob Smith, Texas A&M University

James Sacchettini, Texas A&M University

Thomas Ioerger, Texas A&M University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2005.114

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.

Index Terms:

structural biology, X-ray crystallography, artificial intelligence, pattern recognition

Citation:

Tod Romo, Kreshna Gopal, Erik McKee, Lalji Kanbi, Reetal Pai, Jacob Smith, James Sacchettini, Thomas Ioerger, "TEXTAL: AI-Based Structural Determination for X-ray Protein Crystallography," IEEE Intelligent Systems, vol. 20, no. 6, pp. 59-63, Nov./Dec. 2005, doi:10.1109/MIS.2005.114

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