A Proposal for a Consolidated Structural Model of the CagY Protein of Helicobacter pylori
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Abstract
CagY is the largest and most complex protein from Helicobacter pylori’s (Hp) type IV secretion system (T4SS), playing a critical role in the modulation of gastric inflammation and risk for gastric cancer. CagY spans from the inner to the outer membrane, forming a channel through which Hp molecules are injected into human gastric cells. Yet, a tridimensional structure has been reported for only short segments of the protein. This intricate protein was modeled using different approaches, including homology modeling, ab initio, and deep learning techniques. The challengingly long middle repeat region (MRR) was modeled using deep learning and optimized using equilibrium molecular dynamics. The previously modeled segments were assembled into a 1595 aa chain and a 14-chain CagY multimer structure was assembled by structural alignment. The final structure correlated with published structures and allowed to show how the multimer may form the T4SS channel through which CagA and other molecules are translocated to gastric cells. The model confirmed that MRR, the most polymorphic and complex region of CagY, presents numerous cysteine residues forming disulfide bonds that stabilize the protein and suggest this domain may function as a contractile region playing an essential role in the modulating activity of CagY on tissue inflammation.
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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
Single-sequence protein structure prediction using language models from deep learning
Chowdhury, R., Bouatta, N., Biswas, S., Rochereau, C., Church, G. M., Sorger, P. K., & AlQuraishi, M. (2021) · doi:10.1101/2021.08.02.454840 · Cited by 455 · see citing works
Single-sequence protein structure prediction using a language model and deep learning
Chowdhury, R., Bouatta, N., Biswas, S., Floristean, C., Kharkar, A., Roy, K., Rochereau, C., Ahdritz, G., Zhang, J., Church, G. M., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01432-w · Cited by 455 · see citing works
Skolnick, J., Gao, M., Zhou, H., & Singh, S. (2021) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.1c01114 · Cited by 251 · see citing works
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- Authors
- López-Luis, M. A., Soriano-Pérez, E. E., Parada-Fabián, J. C., Torres, J., Maldonado-Rodríguez, R., & Méndez-Tenorio, A.
- Affiliations
- Laboratorio de Biotecnología y Bioinformática Genómica, Departamento de Bioquímica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Campus Lázaro Cárdenas, Mexico City 11340, Mexico
- Instituto Politécnico Nacional (MX)
- Mexican Social Security Institute (MX)
- Corresponding author
- Méndez-Tenorio, Alfonso
- ORCID
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2023-11-26
- Volume
- 24
- Issue
- 23
- Pages
- 16781
- ISSN
- 1422-0067 (ISSN-L)
- PMC
- PMC10706595
- OpenAlex
- W4389056852
- Cited by
- 4
- References
- 4
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1
- FWCI
- 0.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Molecular Sciences (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- CONAHCYT (387325, 988721, 739485)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Health Sciences › Medicine › Surgery › Helicobacter pylori-related gastroenterology studies
- Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
- Keywords
- Helicobacter pylori, type IV secretion system, protein structure prediction, disulfide bonds, cysteine residues, CagA translocation, gastritis, gastric cancer, equilibrium molecular dynamics
- MeSH terms
- Antigens, Bacterial, Bacterial Proteins, Gastritis, Humans, Inflammation, Helicobacter pylori, Helicobacter Infections
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