Ensemble-function relationships to dissect mechanisms of enzyme catalysis

Author:

Yabukarski Filip1ORCID,Doukov Tzanko2ORCID,Pinney Margaux M.1ORCID,Biel Justin T.3ORCID,Fraser James S.3ORCID,Herschlag Daniel145ORCID

Affiliation:

1. Department of Biochemistry, Stanford University, Stanford, CA 94305, USA.

2. Stanford Synchrotron Radiation Light Source, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.

3. Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA.

4. Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.

5. Stanford ChEM-H, Stanford University, Stanford, CA 94305, USA.

Abstract

Decades of structure-function studies have established our current extensive understanding of enzymes. However, traditional structural models are snapshots of broader conformational ensembles of interchanging states. We demonstrate the need for conformational ensembles to understand function, using the enzyme ketosteroid isomerase (KSI) as an example. Comparison of prior KSI cryogenic x-ray structures suggested deleterious mutational effects from a misaligned oxyanion hole catalytic residue. However, ensemble information from room-temperature x-ray crystallography, combined with functional studies, excluded this model. Ensemble-function analyses can deconvolute effects from altering the probability of occupying a state ( P -effects) and changing the reactivity of each state ( k -effects); our ensemble-function analyses revealed functional effects arising from weakened oxyanion hole hydrogen bonding and substrate repositioning within the active site. Ensemble-function studies will have an integral role in understanding enzymes and in meeting the future goals of a predictive understanding of enzyme catalysis and engineering new enzymes.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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