TY - JOUR
T1 - Structural biology of cellular machines
AU - Chiu, Wah
AU - Baker, Matthew L.
AU - Almo, Steven C.
N1 - Funding Information:
We thank Joachim Frank, Michael F. Schmid and Keichii Namba for providing figures 1–3 respectively. We acknowledge the support of grants from NIH (P20RR020647, P41RR02250, PN2EY016525and U54GM074945), NSF (EIA-0325004) and the Keck Center for Computational and Structural Biology of the Gulf Coast Consortia (NIH 5T15LM07093 to M.L.B.).
PY - 2006/3
Y1 - 2006/3
N2 - Multi-component macromolecular machines contribute to all essential biological processes, from cell motility and signal transduction to information storage and processing. Structural analysis of assemblies at atomic resolution is emerging as the field of structural cell biology. Several recent studies, including those focused on the ribosome, the acrosomal bundle and bacterial flagella, have demonstrated the ability of a hybrid approach that combines imaging, crystallography and computational tools to generate testable atomic models of fundamental biological machines. A complete understanding of cellular and systems biology will require the detailed structural understanding of hundreds of biological machines. The realization of this goal demands a concerted effort to develop and apply new strategies for the systematic identification, isolation, structural characterization and mechanistic analysis of multi-component assemblies at all resolution ranges. The establishment of a database describing the structural and dynamic properties of protein assemblies will provide novel opportunities to define the molecular and atomic mechanisms controlling overall cell physiology.
AB - Multi-component macromolecular machines contribute to all essential biological processes, from cell motility and signal transduction to information storage and processing. Structural analysis of assemblies at atomic resolution is emerging as the field of structural cell biology. Several recent studies, including those focused on the ribosome, the acrosomal bundle and bacterial flagella, have demonstrated the ability of a hybrid approach that combines imaging, crystallography and computational tools to generate testable atomic models of fundamental biological machines. A complete understanding of cellular and systems biology will require the detailed structural understanding of hundreds of biological machines. The realization of this goal demands a concerted effort to develop and apply new strategies for the systematic identification, isolation, structural characterization and mechanistic analysis of multi-component assemblies at all resolution ranges. The establishment of a database describing the structural and dynamic properties of protein assemblies will provide novel opportunities to define the molecular and atomic mechanisms controlling overall cell physiology.
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U2 - 10.1016/j.tcb.2006.01.002
DO - 10.1016/j.tcb.2006.01.002
M3 - Review article
C2 - 16459078
AN - SCOPUS:33644827467
SN - 0962-8924
VL - 16
SP - 144
EP - 150
JO - Trends in Cell Biology
JF - Trends in Cell Biology
IS - 3
ER -