Dynamics connect substrate recognition to catalysis in protein kinase A

Larry R. Masterson, Cecilia Cheng, Tao Yu, Marco Tonelli, Alexandr Kornev, Susan S. Taylor, Gianluigi Veglia

Research output: Contribution to journalArticlepeer-review

149 Scopus citations

Abstract

Atomic resolution studies of protein kinases have traditionally been carried out in the inhibitory state, limiting our current knowledge on the mechanisms of substrate recognition and catalysis. Using NMR, X-ray crystallography and thermodynamic measurements, we analyzed the substrate recognition process of cAMP-dependent protein kinase (PKA), finding that entropy and protein dynamics play a prominent role. The nucleotide acts as a dynamic and allosteric activator by coupling the two lobes of apo PKA, enhancing the enzyme dynamics synchronously and priming it for catalysis. The formation of the ternary complex is entropically driven, and NMR spin relaxation data reveal that both substrate and PKA are dynamic in the closed state. Our results show that the enzyme toggles between open and closed states, which indicates that a conformational selection rather than an induced-fit mechanism governs substrate recognition.

Original languageEnglish (US)
Pages (from-to)821-828
Number of pages8
JournalNature Chemical Biology
Volume6
Issue number11
DOIs
StatePublished - Nov 2010

Bibliographical note

Funding Information:
This work was supported by the US National Institutes of Health (GM072701 and HL080081 to G.V. and GM19301 to S.S.T.). NMR data were collected at the National Magnetic Resonance Facility at Madison (NMRFAM) (US National Institutes of Health: P41RR02301, P41GM66326, RR02781 and RR08438; US National Science Foundation: DMB-8415048, OIA-9977486 and BIR-9214394) and the University of Minnesota NMR Facility (US National Science Foundation BIR-961477). We thank J.P. Loria (Yale University) for providing the TROSY Hahn echo pulse sequence, and we would also like to thank J.P. Loria, E.E. Metcalfe and G. Melacini for critical analysis of the paper.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

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