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PHENIX: a comprehensive Python-based system for macromolecular structure solution (2010)
| Venue: | Acta Crystallogr. D Biol. Crystallogr |
| Citations: | 418 - 5 self |
BibTeX
@ARTICLE{Adams10phenix:a,
author = {Paul D. Adams and B Pavel V and Vincent B. Chen and D Ian W and Jeffrey J. Headd and D Li-wei Hung and Gary J. Kapral and D Ralf W. Grosse and A Airlie J. Mccoy and Nigel W. Moriarty and A Robert and Y J. Read and David C. Richardson and D Jane S and D Thomas C and Terwilliger E and Peter H. Zwart A},
title = {PHENIX: a comprehensive Python-based system for macromolecular structure solution},
journal = {Acta Crystallogr. D Biol. Crystallogr},
year = {2010},
pages = {213--221}
}
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Abstract
Macromolecular X-ray crystallography is routinely applied to understand biological processes at a molecular level. However, significant time and effort are still required to solve and complete many of these structures because of the need for manual interpretation of complex numerical data using many software packages and the repeated use of interactive threedimensional graphics. PHENIX has been developed to provide a comprehensive system for macromolecular crystallographic structure solution with an emphasis on the automation of all procedures. This has relied on the development of algorithms that minimize or eliminate subjective input, the development of algorithms that automate procedures that are traditionally performed by hand and, finally, the development of a framework that allows a tight integration between the algorithms. 1. Foundations
Keyphrases
comprehensive python-based system macromolecular structure solution complex numerical data macromolecular x-ray crystallography interactive threedimensional graphic many software package manual interpretation macromolecular crystallographic structure solution subjective input comprehensive system automate procedure biological process tight integration significant time molecular level
