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Cooperative changes in solvent exposure identify cryptic pockets, conformational switches, and allosteric coupling
Open accessPreprint — published as 10.1107/s0108767319095795
Abstract
Proteins are dynamic molecules that undergo conformational changes to a broad spectrum of different excited states. Unfortunately, the small populations of these states make it difficult to determine their structures or functional implications. Computer simulations are an increasingly powerful means to identify and characterize functionally-relevant excited states. However, this advance has uncovered a further challenge: it can be extremely difficult to identify the most salient features of large simulation datasets. We reasoned that many functionally-relevant conformational changes are likely to involve large, cooperative changes to the surfaces that are available to interact with potential binding partners. To examine this hypothesis, we introduce a method that returns a prioritized list of potentially functional conformational changes by segmenting protein structures into clusters of residues that undergo cooperative changes in their solvent exposure, along with the hierarchy of interactions between these groups. We term these groups exposons to distinguish them from other types of clusters that arise in this analysis and others. We demonstrate, using three different model systems, that this method identifies experimentally-validated and functionally-relevant conformational changes, including conformational switches, allosteric coupling, and cryptic pockets. Our results suggest that key functional sites are hubs in the network of exposons. As a further test of the predictive power of this approach, we apply it to discover cryptic allosteric sites in two different β-lactamase enzymes that are widespread sources of antibiotic resistance. Experimental tests confirm our predictions for both systems. Importantly, we provide the first evidence for a cryptic allosteric site in CTX-M-9 β-lactamase. Experimentally testing this prediction did not require any mutations, and revealed that this site exerts the most potent allosteric control over activity of any pockets found in β-lactamases to date. Discovery of a similar pocket that was previously overlooked in the well-studied TEM-1 β-lactamase demonstrates the utility of exposons.
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Identification of slow molecular order parameters for Markov model construction
Pérez-Hernández, G., Paul, F., Giorgino, T., De Fabritiis, G., & Noé, F. (2013) · The Journal of Chemical Physics · doi:10.1063/1.4811489 · Cited by 990 · cited 1×
“Another approach, time-lagged independent component analysis (tICA) (9, 10) instead focuses on slowly varying dimensions.”
MethodMarkov state models of biomolecular conformational dynamics
Chodera, J. D., & Noé, F. (2014) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2014.04.002 · Cited by 776
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Metadata
- Authors
- Porter, J. R., Moeder, K. E., Sibbald, C. A., Zimmerman, M. I., Hart, K. M., Greenberg, M. J., & Bowman, G. R.
- Affiliations
- Washington University in St. Louis (US)
- Williams College (US)
- Venue
- Acta Crystallographica Section A Foundations and Advances
- Publisher
- openRxiv
- Published
- 2018-05-16
- Volume
- 75
- Issue
- a1
- Pages
- a432-a432
- ISSN
- 2053-2733 (ISSN-L)
- OpenAlex
- W2997053128
- Cited by
- 3
- References
- 2
- Citations by year
- 2019: 2 · 2018: 1
- FWCI
- 0.17
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Acta Crystallographica Section A Foundations and Advances (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Funders
- National Science Foundation (1552471, CAREER)
- National Institutes of Health (T32GM02700, MCB-1552471, R01GM12400701)
- National Institute of Allergy and Infectious Diseases (U19AI109664)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
- Keywords
- protein conformational change, cryptic pocket, allosteric communication, conformational switching, protein structure clustering, network hubs, beta-lactamase, CTX-M-9, TEM-1, antibiotic resistance, allosteric site prediction
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