To automate or not to automate: This is the question

M. Cymborowski, M. Klimecka, M. Chruszcz, M. D. Zimmerman, I. A. Shumilin, D. Borek, K. Lazarski, A. Joachimiak, Z. Otwinowski, W. Anderson, W. Minor*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

22 Scopus citations

Abstract

New protocols and instrumentation significantly boost the outcome of structural biology, which has resulted in significant growth in the number of deposited Protein Data Bank structures. However, even an enormous increase of the productivity of a single step of the structure determination process may not significantly shorten the time between clone and deposition or publication. For example, in a medium size laboratory equipped with the LabDB and HKL-3000 systems, we show that automation of some (and integration of all) steps of the X-ray structure determination pathway is critical for laboratory productivity. Moreover, we show that the lag period after which the impact of a technology change is observed is longer than expected.

Original languageEnglish (US)
Pages (from-to)211-221
Number of pages11
JournalJournal of Structural and Functional Genomics
Volume11
Issue number3
DOIs
StatePublished - Sep 2010

Funding

Acknowledgments The authors would like to thank Zbyszek Dauter and Alex Wlodawer for valuable discussions; and Heping Zheng and Marcin Domagalski for help with generating statistics. The work described in the paper was supported by GM74942, GM53163 and with Federal funds from the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under Contract No. HHSN272200700058C. This work was supported in part by the U.S. Department of Energy, Office of Biological and Environmental Research and Office of Basic Energy Sciences, under contract DE-AC02-06CH11357.

Keywords

  • Automation
  • Data collection
  • Databases
  • Ligand screening
  • Structural genomics
  • Structure determination

ASJC Scopus subject areas

  • Genetics
  • Structural Biology
  • Biochemistry

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