Integrative analysis of pathogenic variants in glucose-6-phosphatase based on an AlphaFold2 model
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Abstract
Mediating the terminal reaction of gluconeogenesis and glycogenolysis, the integral membrane protein glucose-6-phosphate catalytic subunit 1 (G6PC1) regulates hepatic glucose production by catalyzing hydrolysis of glucose-6-phosphate (G6P) within the lumen of the endoplasmic reticulum. Consistent with its vital contribution to glucose homeostasis, inactivating mutations in G6PC1 causes glycogen storage disease (GSD) type 1a characterized by hepatomegaly and severe hypoglycemia. Despite its physiological importance, the structural basis of G6P binding to G6PC1 and the molecular disruptions induced by missense mutations within the active site that give rise to GSD type 1a are unknown. In this study, we determine the atomic interactions governing G6P binding as well as explore the perturbations imposed by disease-linked missense variants by subjecting an AlphaFold2 G6PC1 structural model to molecular dynamics simulations and in silico predictions of thermodynamic stability validated with robust in vitro and in situ biochemical assays. We identify a collection of side chains, including conserved residues from the signature phosphatidic acid phosphatase motif, that contribute to a hydrogen bonding and van der Waals network stabilizing G6P in the active site. The introduction of GSD type 1a mutations modified the thermodynamic landscape, altered side chain packing and substrate-binding interactions, and induced trapping of catalytic intermediates. Our results, which corroborate the high quality of the AF2 model as a guide for experimental design and to interpret outcomes, not only confirm the active-site structural organization but also identify previously unobserved mechanistic contributions of catalytic and noncatalytic side chains.
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Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
Highly accurate protein structure prediction for the human proteome
Tunyasuvunakool, K., Adler, J., Wu, Z., Green, T., Zielinski, M., Žídek, A., Bridgland, A., Cowie, A., Meyer, C., Laydon, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03828-1 · Cited by 3,025 · cited 15× · see citing works
“While R83 and R170 are arranged to stabilize the substrate and its transition state via hydrogen bonds, both H119 and H176 are primed to function as the proton donor and phosphate acceptor, respectively (69).”
BackgroundInfluentialA structural biology community assessment of AlphaFold2 applications
Akdel, M., Pires, D. E. V., Pardo, E. P., Jänes, J., Zalevsky, A. O., Mészáros, B., Bryant, P., Good, L. L., Laskowski, R. A., Pozzati, G., et al. (2022) · Nature Structural & Molecular Biology · doi:10.1038/s41594-022-00849-w · Cited by 675 · see citing works
Using AlphaFold to predict the impact of single mutations on protein stability and function
Pak, M. A., Markhieva, K. A., Novikova, M. S., Petrov, D. S., Vorobyev, I. S., Maksimova, E. S., Kondrashov, F. A., & Ivankov, D. N. (2023) · PLOS One · doi:10.1371/journal.pone.0282689 · Cited by 322 · see citing works
Messerschmidt, A., Prade, L., & Wever, R. (1997) · Biological Chemistry · doi:10.1515/bchm.1997.378.3-4.309 · Cited by 275 · see citing works
Accurate protein stability predictions from homology models
Valanciute, A., Nygaard, L., Zschach, H., Maglegaard Jepsen, M., Lindorff-Larsen, K., & Stein, A. (2023) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.11.048 · Cited by 33 · see citing works
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- Authors
- Sinclair, M., Stein, R. A., Sheehan, J. H., Hawes, E. M., O’Brien, R. M., Tajkhorshid, E., & Claxton, D. P.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Vanderbilt University (US)
- Corresponding author
- Claxton, Derek P
- ORCID
- Venue
- PNAS Nexus
- Publisher
- Oxford University Press (OUP)
- Published
- 2024-01-29
- Volume
- 3
- Issue
- 2
- Pages
- pgae036-pgae036
- ISSN
- 2752-6542 (ISSN-L)
- PMC
- PMC10849595
- OpenAlex
- W4391315459
- Cited by
- 8
- References
- 6
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 1
- FWCI
- 2.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PNAS Nexus (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion, cc-by-nc-nd)
- Funders
- National Institutes of Health (P41-GM104601, R24-GM145965, R01-DK132259)
- Vanderbilt Molecular Endocrinology Training program (5T32-DK07563)
- American Heart Association (23PRE1017904)
- Juvenile Diabetes Research Foundation (1-INO-2022-1121-A-N)
- eXtreme Science and Engineering Discovery Environment (MCA06N060)
- Topics
- Health Sciences › Medicine › Rheumatology › Glycogen Storage Diseases and Myoclonus
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
- Keywords
- glucose-6-phosphatase, glycogen storage disease type 1a, missense mutations, active site, molecular dynamics simulation, thermodynamic stability, catalytic intermediates, hepatic glucose production, hypoglycemia, endoplasmic reticulum
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