Literature DB >> 17913643

NMR methods for studying protein-protein interactions involved in translation initiation.

Assen Marintchev1, Dominique Frueh, Gerhard Wagner.   

Abstract

Translation in the cell is carried out by complex molecular machinery involving a dynamic network of protein-protein and protein-RNA interactions. Along the multiple steps of the translation pathway, individual interactions are constantly formed, remodeled, and broken, which presents special challenges when studying this sophisticated system. NMR is a still actively developing technology that has recently been used to solve the structures of several translation factors. However, NMR also has a number of other unique capabilities, of which the broader scientific community may not always be aware. In particular, when studying macromolecular interactions, NMR can be used for a wide range of tasks from testing unambiguously whether two molecules interact to solving the structure of the complex. NMR can also provide insights into the dynamics of the molecules, their folding/unfolding, as well as the effects of interactions with binding partners on these processes. In this chapter, we have tried to summarize, in a popular format, the various types of information about macromolecular interactions that can be obtained with NMR. Special attention is given to areas where the use of NMR provides unique information that is difficult to obtain with other approaches. Our intent was to help the general scientific audience become more familiar with the power of NMR, the current status of the technological limitations of individual NMR methods, as well as the numerous applications, in particular for studying protein-protein interactions in translation.

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Year:  2007        PMID: 17913643     DOI: 10.1016/S0076-6879(07)30012-8

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  32 in total

1.  Increased precision for analysis of protein-ligand dissociation constants determined from chemical shift titrations.

Authors:  Craig J Markin; Leo Spyracopoulos
Journal:  J Biomol NMR       Date:  2012-04-26       Impact factor: 2.835

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3.  Acidic C-terminal tail of the ssDNA-binding protein of bacteriophage T7 and ssDNA compete for the same binding surface.

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Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-31       Impact factor: 11.205

4.  β-Hairpin loop of eukaryotic initiation factor 1 (eIF1) mediates 40 S ribosome binding to regulate initiator tRNA(Met) recruitment and accuracy of AUG selection in vivo.

Authors:  Pilar Martin-Marcos; Jagpreet Nanda; Rafael E Luna; Gerhard Wagner; Jon R Lorsch; Alan G Hinnebusch
Journal:  J Biol Chem       Date:  2013-07-26       Impact factor: 5.157

5.  Accuracy and precision of protein-ligand interaction kinetics determined from chemical shift titrations.

Authors:  Craig J Markin; Leo Spyracopoulos
Journal:  J Biomol NMR       Date:  2012-10-21       Impact factor: 2.835

6.  The C-terminal domain of eukaryotic initiation factor 5 promotes start codon recognition by its dynamic interplay with eIF1 and eIF2β.

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Journal:  Cell Rep       Date:  2012-05-24       Impact factor: 9.423

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Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-08       Impact factor: 11.205

8.  Site-Dependent Cysteine Lipidation Potentiates the Activation of Proapoptotic BAX.

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Journal:  Cell Rep       Date:  2020-03-10       Impact factor: 9.423

9.  Conformational heterogeneity in antibody-protein antigen recognition: implications for high affinity protein complex formation.

Authors:  Philip W Addis; Catherine J Hall; Shaun Bruton; Vaclav Veverka; Ian C Wilkinson; Frederick W Muskett; Philip S Renshaw; Christine E Prosser; Bruce Carrington; Alastair D G Lawson; Robert Griffin; Richard J Taylor; Lorna C Waters; Alistair J Henry; Mark D Carr
Journal:  J Biol Chem       Date:  2014-01-16       Impact factor: 5.157

10.  Structural and dynamic insights into substrate binding and catalysis of human lipocalin prostaglandin D synthase.

Authors:  Sing Mei Lim; Dan Chen; Hsiangling Teo; Annette Roos; Anna Elisabet Jansson; Tomas Nyman; Lionel Trésaugues; Konstantin Pervushin; Pär Nordlund
Journal:  J Lipid Res       Date:  2013-03-22       Impact factor: 5.922

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