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Published August 3, 2017 | Version v4
Dataset Open

The molecular architecture of the yeast spindle pole body core determined by Bayesian integrative modeling

Creators

  • 1. Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, California Institute for Quantitative Biosciences, University of California at San Francisco, San Francisco, CA 94158, USA.
  • 2. Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, California Institute for Quantitative Biosciences, University of California at San Francisco, San Francisco, CA 94158, USA.; Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK.
  • 3. Department of Biochemistry, University of Wisconsin, Madison, WI 53706, USA.
  • 4. Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.
  • 5. Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, Colorado, 80309, USA

Contributors

Data manager:

  • 1. University of California San Francisco

Description

This repository pertains to the molecular architecture of the yeast spindle pole body (SPB), the structural and functional equivalent of the metazoan centrosome. Data from in vivo FRET and yeast two-hybrid, along with SAXS, X-ray crystallography, and electron microscopy were integrated by a Bayesian structure modeling approach.

For more information about how to reproduce this modeling, see the Sali lab website or the README file.

Files

fret.zip

Files (7.6 GB)

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md5:dcf27fc264ceb18c132fef1c963ebaf8
304.7 MB Download
md5:01ac59d5c7bfaf6d0b56763aa192f405
336.4 MB Download
md5:1cf6b65f03f270799a9df3a7b11d1653
91.8 MB Download
md5:99657bb7a09c2eae75d01aa2a79b679a
351.2 MB Download
md5:eb8dd24e0b62e6e22c1b8a8f0ee02994
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2.1 GB Download
md5:1a9bb26a6ed95613488c17fa01b741a7
2.1 GB Download
md5:572d4ff676c47c639ae34aa5a81c9b3d
58.3 MB Preview Download

Additional details

Related works

Is supplement to
https://github.com/integrativemodeling/spb/tree/v1.0 (URL)
https://salilab.org/spb/ (URL)