Mutational investigation of protein folding transition states by Phi-value analysis and beyond: lessons from SH3 domain folding.

Arash Zarrine-Afsar, Sung Lun Lin, Philipp Neudecker

Journal: Biochemistry and cell biology = Biochimie et biologie cellulaire 2010;88(2):231-8

PMID: 20453926

Abstract

Understanding how proteins adopt their unique native structures requires a complete structural characterization of the rate-limiting transition state(s) along the folding pathway. By definition, transition states are not significantly populated and are only accessible via folding kinetics studies. In this respect, interpreting the kinetic effects of amino acid substitutions (especially to Ala) via Phi-value analysis is the most common method to probe the structure of these transient, yet important states. A critical review of the key assumptions required for rigorous interpretation of Phi values reveals that a multiple substitution strategy in which a position of interest is mutated to a variety of amino acids, and not exclusively to Ala, provides the best means to characterize folding transition states. This approach has proven useful in revealing non-native interactions and (or) conformations in folding transition states. Moreover, by simultaneously examining the folding kinetics of multiple substitutions made at a single surface-exposed position using the Brønsted analysis the backbone conformation in a folding transition state can be investigated. For folding equilibria with exchange rates on the order of milliseconds, the kinetic parameters for Phi-value analysis can be obtained from NMR relaxation dispersion experiments, under fully native conditions, along with a wealth of high-resolution structural information about the states in exchange (native, denatured, and intermediate states that populate the pathway). This additional structural information, which is not readily obtained through stopped-flow based methods, can significantly facilitate the interpretation of Phi values because it often reports on the validity of the assumptions required for a rigorous interpretation of Phi values.

Address: Department of Biochemistry, University of Toronto, Toronto, ON M5S 1A8, Canada. [email protected]
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