4.7 Article

Crystal Cryocooling Distorts Conformational Heterogeneity in a Model Michaelis Complex of DHFR

期刊

STRUCTURE
卷 22, 期 6, 页码 899-910

出版社

CELL PRESS
DOI: 10.1016/j.str.2014.04.016

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资金

  1. NIH [OD009180, GM110580, GM081879, GM32415, GM092999]
  2. NSF [STC-1231306]
  3. US National Institute of General Medical Sciences Protein Structure Initiative at the Joint Center for Structural Genomics [U54GM094586]
  4. SLAC National Accelerator Laboratory LDRD (Laboratory Directed Research and Development) [SLAC-LDRD-0014-13-2]
  5. Office of Science, Office of Basic Energy Sciences, of the US Department of Energy [DE-AC02-05CH11231]
  6. US Department of Energy, Office of Science, Office of Basic Energy Sciences [DE-AC02-76SF00515]
  7. DOE Office of Biological and Environmental Research
  8. National Institutes of Health, National Institute of General Medical Sciences [P41GM103393]

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Most macromolecular X-ray structures are determined from cryocooled crystals, but it is unclear whether cryocooling distorts functionally relevant flexibility. Here we compare independently acquired pairs of high-resolution data sets of a model Michaelis complex of dihydrofolate reductase (DHFR), collected by separate groups at both room and cryogenic temperatures. These data sets allow us to isolate the differences between experimental procedures and between temperatures. Our analyses of multiconformer models and time-averaged ensembles suggest that cryocooling suppresses and otherwise modifies side-chain and main-chain conformational heterogeneity, quenching dynamic contact networks. Despite some idiosyncratic differences, most changes from room temperature to cryogenic temperature are conserved and likely reflect temperature-dependent solvent remodeling. Both cryogenic data sets point to additional conformations not evident in the corresponding room temperature data sets, suggesting that cryocooling does not merely trap preexisting conformational heterogeneity. Our results demonstrate that crystal cryocooling consistently distorts the energy landscape of DHFR, a paragon for understanding functional protein dynamics.

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