Gorgon and pathwalking: Macromolecular modeling tools for subnanometer resolution density maps

Matthew L. Baker, Mariah R. Baker, Corey F. Hryc, Tao Ju, Wah Chiu

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

The complex interplay of proteins and other molecules, often in the form of large transitory assemblies, are critical to cellular function. Today, X-ray crystallography and electron cryo-microscopy (cryo-EM) are routinely used to image these macromolecular complexes, though often at limited resolutions. Despite the rapidly growing number of macromolecular structures, few tools exist for modeling and annotating structures in the range of 3-10 Å resolution. To address this need, we have developed a number of utilities specifically targeting subnanometer resolution density maps. As part of the 2010 Cryo-EM Modeling Challenge, we demonstrated two of our latest de novo modeling tools, Pathwalking and Gorgon, as well as a tool for secondary structure identification (SSEHunter) and a new rigid-body/flexible fitting tool in Gorgon. In total, we submitted 30 structural models from ten different subnanometer resolution data sets in four of the six challenge categories. Each of our utlities produced accurate structural models and annotations across the various density maps. In the end, the utilities that we present here offer users a robust toolkit for analyzing and modeling protein structure in macromolecular assemblies at non-atomic resolutions.

Original languageEnglish
Pages (from-to)655-668
Number of pages14
JournalBiopolymers
Volume97
Issue number9
DOIs
StatePublished - Sep 2012

Keywords

  • computational modeling
  • cryo-em
  • gorgon
  • macomolecular structure
  • pathwalking

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