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Regulatory interactions between APOBEC3B N- and C-terminal domains
Open accessPreprint — published as 10.1021/acs.jcim.4c02272 · Paper page
Abstract
APOBEC3B (A3B) is implicated in DNA mutations that facilitate tumor evolution. Although structures of its individual N- and C-terminal domains (NTD and CTD) have been resolved through X-ray crystallography, the full-length A3B (fl-A3B) structure remains elusive, limiting understanding of its dynamics and mechanisms. In particular, the APOBEC3B C-terminal domain (A3Bctd) active site is frequently closed in models and structures. In this study, we built several new models of fl-A3B using integrative structural biology methods and selected a top model for further dynamical investigation. We compared dynamics of the truncated (A3Bctd) to the fl-A3B via conventional and Gaussian accelerated molecular dynamics (MD) simulations. Subsequently, we employed weighted ensemble methods to explore the fl-A3B active site opening mechanism, finding that interactions at the NTD-CTD interface enhance the opening frequency of the fl-A3B active site. Our findings shed light on the structural dynamics of fl-A3B, which may offer new avenues for therapeutic intervention in cancer.
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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
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Research works printed but not linked: 58
- 10.1016/j.virol.2015.03.012 · DOI · Paper page
- 10.1038/nri1489 · DOI
- 10.1038/s41586-020-1943-3 · DOI · Paper page
- 10.1016/j.xcrm.2023.101211 · DOI
- 10.4161/cc.23713 · DOI
- 10.1007/s12672-014-0196-8 · DOI
- 10.1126/sciadv.1601737 · DOI
- 10.1038/s41586-022-04972-y · DOI
- 10.1016/j.cell.2019.02.012 · DOI
- 10.1038/nsmb.3344 · DOI
- 10.1128/jvi.00781-23/ · DOI
- 10.1128/jvi.01539-19/ · DOI
- 10.1016/J.SBI.2020.12.004 · DOI
- 10.1093/nar/gkx362 · DOI
- 10.1038/srep41926 · DOI
- 10.1074/jbc.M115.679951 · DOI
- 10.1371/journal.pgen.1011043 · DOI
- 10.3390/v13040663 · DOI
- 10.1096/fba.2019-00068 · DOI
- 10.1093/nar/gkx832 · DOI
- 10.1021/acs.jcim.8B00427 · DOI
- 10.1038/s41586-023-05779-1 · DOI
- 10.1038/s41467-024-45909-5 · DOI
- 10.1002/PROT.10613 · DOI
- 10.1186/1471-2105-9-1 · DOI
- 10.1093/nar/gky427 · DOI
- 10.1038/nprot.2016.169 · DOI
- 10.1021/ct400314y · DOI
- 10.1021/ACS.JCTC.5B00255 · DOI
- 10.1021/JP003020W · DOI
- 10.1016/j.jbc.2021.100909 · DOI
- 10.1021/ACS.JCTC.8B00545 · DOI
- 10.1021/acs.jctc.5b00436 · DOI
- 10.1146/annurev-biophys-070816-033834 · DOI
- 10.1016/S0006-3495(96)79552-8 · DOI
- 10.33011/LIVECOMS.5.1.1655 · DOI
- 10.1021/ACS.JPCA.0C10724 · DOI
- 10.1063/1.3456985 · DOI
- 10.1016/J.ISCI.2022.105077 · DOI
- 10.1002/pro.3280 · DOI
- 10.1016/J.JBC.2024.107410 · DOI
- 10.1038/s41467-023-43650-z · DOI
- 10.1016/j.jmb.2018.04.044 · DOI
- 10.1128/JVI.02645-10 · DOI
- 10.1038/nprot.2016.169 · DOI
- 10.2174/156802608786786624 · DOI
- 10.1186/1472-6807-11-1 · DOI
- 10.1002/PROT.1138 · DOI
- 10.1016/0021-9991(77)90098-5 · DOI
- 10.1021/ct5010615 · DOI
- 10.1021/acs.jctc.1C01154 · DOI · Paper page
- 10.1021/ct400341p · DOI
- 10.1016/0263-7855(96)00018-5 · DOI · Paper page
- 2011, Scikit-Learn: Machine Learning in Python, Journal of Machine Learning Research, 12, 2825
- 10.1038/nmeth.4169 · DOI · Paper page
- 10.1038/s41588-023-01504-w · DOI
- 10.1073/pnas.2021120118 · DOI
- 10.1093/nar/gkv121 · DOI
Metadata
- Authors
- Braza, M. K. E., Demir, Ö., Ahn, S.-H., Morris, C. K., Calvó-Tusell, C., McGuire, K. L., de la Peña Avalos, B., Carpenter, M. A., Chen, Y., Casalino, L., Aihara, H., Herzik, M. A., Harris, R. S., & Amaro, R. E.
- Affiliations
- University of California San Diego (US)
- University of California, Davis (US)
- Howard Hughes Medical Institute (US)
- The University of Texas at San Antonio Health Science Center (US)
- University of Minnesota (US)
- Corresponding author
- Amaro, Rommie E.
- ORCID
- Venue
- Journal of Chemical Information and Modeling
- Publisher
- openRxiv
- Published
- 2024-12-12
- Volume
- 65
- Issue
- 7
- Pages
- 3593-3604
- ISSN
- 1549-9596 (ISSN-L)
- PMC
- PMC12004528
- OpenAlex
- W4408588993
- Cited by
- 3
- References
- 1
- Citations by year
- 2026: 1 · 2025: 2
- FWCI
- 0.90
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Chemical Information and Modeling (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc)
- Funders
- University of California, Davis
- National Cancer Institute (T32CA009523, P01CA234228)
- National Institute of General Medical Sciences (R35GM118047)
- 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 › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Keywords
- APOBEC3B, C-terminal domain, N-terminal domain, full-length protein structure, integrative structural biology, protein dynamics, allosteric site, druggability, DNA mutagenesis, cancer therapy
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