Structures of ribosome-bound initiation factor 2 reveal the mechanism of subunit association

By T. Sprink, D.J.F. Ramrath, Hiroshi Yamamoto, Kaori Yamamoto, J. Loerke, Jochen Ismer, Peter Werner Hildebrand, P. Scheerer, J. Bürger, T. Mielke and 1 more. 2016

71 citations recorded by the source corpus.

Researchers determine the structure of the ribosome-bound initiation factor 2. Throughout the four phases of protein biosynthesis—initiation, elongation, termination, and recycling—the ribosome is controlled and regulated by at least one specified translational guanosine triphosphatase (trGTPase). Although the structural basis for trGTPase interaction with the ribosome has been solved for the last three steps of translation, the high-resolution structure for the key initiation trGTPase, initiation factor 2 (IF2), complexed with the ribosome, remains elusive. We determine the structure of IF2 complexed with a nonhydrolyzable guanosine triphosphate analog and initiator fMet-tRNAiMet in the context of the Escherichia coli ribosome to 3.7-Å resolution using cryo-electron microscopy. The structural analysis reveals previously unseen intrinsic conformational modes of the 70S initiation complex, establishing the mutual interplay of IF2 and initator transfer RNA (tRNA) with the ribsosome and providing the structural foundation for a mechanistic understanding of the final steps of translation initiation.

Subfields: Molecular Biology

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Citations in the corpus

Long-range interdomain communications in eIF5B regulate GTP hydrolysis and translation initiation (2020, background): “It has also been suggested to be relevant in bacterial (40) and mitochondrial initiation (41).”
Focused classification and refinement in high-resolution cryo-EM structural analysis of ribosome complexes. (2017, methodology): “[19,20]), second, methods based on statistical analysis [4,21–23] called ‘unsupervised classification’ that can provide 3D variance maps and can be applied together with random resampling and bootstrapping methods [4,24–28], and third, methods based on maximum likelihood (ML) [29–32] during which ra”