33
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      The Phenix software for automated determination of macromolecular structures.

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          X-ray crystallography is a critical tool in the study of biological systems. It is able to provide information that has been a prerequisite to understanding the fundamentals of life. It is also a method that is central to the development of new therapeutics for human disease. Significant time and effort are required to determine and optimize many macromolecular structures because of the need for manual interpretation of complex numerical data, often using many different software packages, and the repeated use of interactive three-dimensional graphics. The Phenix software package has been developed to provide a comprehensive system for macromolecular crystallographic structure solution with an emphasis on automation. This has required the development of new algorithms that minimize or eliminate subjective input in favor of built-in expert-systems knowledge, the automation of procedures that are traditionally performed by hand, and the development of a computational framework that allows a tight integration between the algorithms. The application of automated methods is particularly appropriate in the field of structural proteomics, where high throughput is desired. Features in Phenix for the automation of experimental phasing with subsequent model building, molecular replacement, structure refinement and validation are described and examples given of running Phenix from both the command line and graphical user interface.

          Related collections

          Author and article information

          Journal
          Methods
          Methods (San Diego, Calif.)
          Elsevier BV
          1095-9130
          1046-2023
          Sep 2011
          : 55
          : 1
          Affiliations
          [1 ] Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. PDAdams@lbl.gov
          Article
          S1046-2023(11)00131-9 NIHMS319608
          10.1016/j.ymeth.2011.07.005
          3193589
          21821126
          cbc8846c-14df-4b86-8b47-254d1716070d
          Copyright © 2011 Elsevier Inc. All rights reserved.
          History

          Comments

          Comment on this article