Mapping structural and dynamic divergence across the MBOAT family
Open accessPublished version of a preprint
Abstract
Membrane-bound O-acyltransferases (MBOATs) are membrane-embedded enzymes that catalyze acyl chain transfer to a diverse group of substrates, including lipids, small molecules, and proteins. MBOATs share a conserved structural core, despite wide-ranging functional specificity across both prokaryotes and eukaryotes. The structural basis of catalytic specificity, regulation and interactions with the surrounding environment remain uncertain. Here, we combine comparative molecular dynamics (MD) simulations with bioinformatics to assess molecular and interactional divergence across the family. In simulations, MBOATs differentially distort the bilayer depending on their substrate type. Additionally, we identify lipid binding sites surrounding reactant gates in the surrounding membrane. Complementary bioinformatic analyses reveal a conserved role for re-entrant loop-2 in MBOAT fold stabilization and a key hydrogen bond bridging DGAT1 dimerization. Finally, we predict differences in MBOAT solvation and water gating properties. These data are pertinent to the design of MBOAT-specific inhibitors that encompass dynamic information within cellular mimetic environments.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302 · see citing works
VMD: visual molecular dynamics
Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics · doi:10.1016/0263-7855(96)00018-5 · Cited by 66,952 · see citing works
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
Comparison of simple potential functions for simulating liquid water
Jorgensen, W. L., Chandrasekhar, J., Madura, J., Impey, R., & Klein, M. (1983) · The Journal of Chemical Physics · doi:10.1063/1.445869 · Cited by 38,335 · see citing works
Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems
Darden, T., York, D., & Pedersen, L. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464397 · Cited by 29,588 · see citing works
Abraham, M. J., Murtola, T., Schulz, R., Páll, S., Smith, J. C., Hess, B., & Lindahl, E. (2015) · SoftwareX · doi:10.1016/j.softx.2015.06.001 · Cited by 27,190 · see citing works
Canonical dynamics: Equilibrium phase-space distributions
Hoover, W. G. (1985) · Physical Review A · doi:10.1103/physreva.31.1695 · Cited by 23,453 · see citing works
Polymorphic transitions in single crystals: A new molecular dynamics method
Parrinello, M., & Rahman, A. (1981) · Journal of Applied Physics · doi:10.1063/1.328693 · Cited by 19,668 · see citing works
LINCS: A linear constraint solver for molecular simulations
Hess, B., Bekker, H., Berendsen, H. J. C., & Fraaije, J. G. E. M. (1997) · Journal of Computational Chemistry · doi:10.1002/(sici)1096-987x(199709)18:12 · Cited by 18,369 · see citing works
Canonical sampling through velocity rescaling
Bussi, G., Donadio, D., & Parrinello, M. (2007) · The Journal of Chemical Physics · doi:10.1063/1.2408420 · Cited by 18,034 · see citing works
A molecular dynamics method for simulations in the canonical ensemble
Nosé, S. (1984) · Molecular Physics · doi:10.1080/00268978400101201 · Cited by 10,049 · see citing works
T-Coffee: A novel method for fast and accurate multiple sequence alignment.
Notredame, C., Higgins, D., & Heringa, J. (2000) · Journal of Molecular Biology · doi:10.1006/jmbi.2000.4042 · Cited by 7,321 · see citing works
The MARTINI Force Field: Coarse Grained Model for Biomolecular Simulations
Marrink, . J., Risselada, H. J., Yefimov, S., Tieleman, D. P., & de Vries, A. H. (2007) · The Journal of Physical Chemistry B · doi:10.1021/jp071097f · Cited by 5,527 · see citing works
MDAnalysis: A toolkit for the analysis of molecular dynamics simulations
Michaud‐Agrawal, N., Denning, E. J., Woolf, T. B., & Beckstein, O. (2011) · Journal of Computational Chemistry · doi:10.1002/jcc.21787 · Cited by 4,549 · see citing works
CHARMM36 all-atom additive protein force field: Validation based on comparison to NMR data
Huang, J., & MacKerell, A. D. (2013) · Journal of Computational Chemistry · doi:10.1002/jcc.23354 · Cited by 4,484 · see citing works
Molecular Dynamics Simulation for All
Hollingsworth, S. A., & Dror, R. O. (2018) · Neuron · doi:10.1016/j.neuron.2018.08.011 · Cited by 3,313 · see citing works
D’Hulst, G., Soro-Arnaiz, I., Masschelein, E., Veys, K., Fitzgerald, G., Smeuninx, B., Kim, S., Deldicque, L., Blaauw, B., Carmeliet, P., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-13889-6 · Cited by 2,310 · see citing works
MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations
Gowers, R. J., Linke, M., Barnoud, J., Reddy, T. J., Melo, M. N., Seyler, S. L., Domański, J., Dotson, D., Buchoux, S., Kenney, I. M., et al. (2016) · Proceedings of the Python in Science Conferences · doi:10.25080/majora-629e541a-00e · Cited by 2,085 · see citing works
Søndergaard, C. R., Olsson, M. H. H., Rostkowski, M., & Jensen, J. H. (2011) · Journal of Chemical Theory and Computation · doi:10.1021/ct200133y · Cited by 1,869 · see citing works
Perineuronal nets stabilize the grid cell network
Christensen, A. C., Lensjø, K. K., Lepperød, M. E., Dragly, S.-A., Sutterud, H., Blackstad, J. S., Fyhn, M., & Hafting, T. (2021) · Nature Communications · doi:10.1038/s41467-020-20241-w · Cited by 1,865 · see citing works
Modeller: Generation and Refinement of Homology-Based Protein Structure Models
Fiser, A., & Šali, A. (2003) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(03)74020-8 · Cited by 1,684 · see citing works
‘Improved parameters for the Martini coarse-grained protein force field’
de Jong, D. H., Singh, G., Bennett, W. F. D., Arnarez, C., Wassenaar, T. A., Schäfer, L. V., Periole, X., Tieleman, D. P., & Marrink, S. J. (2013) · Journal of Chemical Theory and Computation · doi:10.1021/ct300646g · Cited by 1,486 · see citing works
X-ray structure of a protein-conducting channel
van den Berg, B., Clemons, W., Collinson, I. R., Modis, Y., Hartmann, E., Harrison, S. C., & Rapoport, T. A. (2003) · Nature · doi:10.1038/nature02218 · Cited by 1,252 · see citing works
Biomolecular simulation: a computational microscope for molecular biology.
Dror, R., Dirks, R. M., Grossman, J. P., Xu, H., & Shaw, D. (2012) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-042910-155245 · Cited by 1,176 · see citing works
Wassenaar, T. A., Ingólfsson, H. I., Böckmann, R. A., Tieleman, D. P., & Marrink, S. J. (2015) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5b00209 · Cited by 1,174 · see citing works
Protein Sequence Analysis Using the MPI Bioinformatics Toolkit
Gabler, F., Nam, S., Till, S., Mirdita, M., Steinegger, M., Söding, J., Lupas, A. N., & Alva, V. (2020) · Current Protocols in Bioinformatics · doi:10.1002/cpbi.108 · Cited by 831 · see citing works
Périole, X., Cavalli, M., Marrink, . J., & Ceruso, M. A. (2009) · Journal of Chemical Theory and Computation · doi:10.1021/ct9002114 · Cited by 703 · see citing works
Computational Modeling of Realistic Cell Membranes
Marrink, . J., Corradi, V., Souza, P. C. T., Ingólfsson, H. I., Tieleman, D. P., & Sansom, M. S. P. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00460 · Cited by 695 · see citing works
Self-citationConSurf: Using Evolutionary Data to Raise Testable Hypotheses about Protein Function
Celniker, G., Nimrod, G., Ashkenazy, H., Glaser, F., Martz, E., Mayrose, I., Pupko, T., & Ben‐Tal, N. (2013) · Israel Journal of Chemistry · doi:10.1002/ijch.201200096 · Cited by 551 · see citing works
Quantifying the local adaptive landscape of a nascent bacterial community
Ascensao, J. A., Wetmore, K. M., Good, B. H., Arkin, A. P., & Hallatschek, O. (2023) · Nature Communications · doi:10.1038/s41467-022-35677-5 · Cited by 447 · see citing works
Coxiella burnetii inhibits host immunity by a protein phosphatase adapted from glycolysis
Zhang, Y., Fu, J., Liu, S., Wang, L., Qiu, J., van Schaik, E. J., Samuel, J. E., Song, L., & Luo, Z. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2110877119 · Cited by 290 · see citing works
Electrostatic steering and ionic tethering in enzyme–ligand binding: Insights from simulations
Wade, R. C., Gabdoulline, R. R., Lüdemann, S. K., & Lounnas, V. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.11.5942 · Cited by 200 · see citing works
Song, W., Corey, R. A., Ansell, T. B., Cassidy, C. K., Horrell, M. R., Duncan, A. L., Stansfeld, P. J., & Sansom, M. S. P. (2022) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.1c00708 · Cited by 183 · see citing works
Self-citationThe SARS-CoV-2 RNA interactome
Lee, S., Lee, Y.-S., Choi, Y., Son, A., Park, Y., Lee, K., Kim, J., Kim, J., & Kim, V. N. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.04.022 · Cited by 175 · see citing works
Structural basis for membrane insertion by the human ER membrane protein complex
Pleiner, T., Tomaleri, G. P., Januszyk, K., Inglis, A. J., Hazu, M., & Voorhees, R. M. (2020) · Science · doi:10.1126/science.abb5008 · Cited by 161 · see citing works
CG2AT2: An enhanced fragment-based approach for serial multi-scale molecular dynamics simulations
Vickery, O. N., & Stansfeld, P. J. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.1c00295 · Cited by 150 · see citing works
McFie, P. J., Stone, S. L., Banman, S. L., & Stone, S. J. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.163691 · Cited by 150 · see citing works
Parameters for Martini sterols and hopanoids based on a virtual-site description.
Melo, M. N., Ingólfsson, H., & Marrink, S. (2015) · Journal of Chemical Physics · doi:10.1063/1.4937783 · Cited by 131 · see citing works
Mechanisms and inhibition of Porcupine-mediated Wnt acylation
Liu, Y., Qi, X., Donnelly, L., Elghobashi-Meinhardt, N., Long, T., Zhou, R. W., Sun, Y., Wang, B., & Li, X. (2022) · Nature · doi:10.1038/s41586-022-04952-2 · Cited by 128 · see citing works
Structure and mechanism of human diacylglycerol O-acyltransferase 1
Wang, L., Qian, H., Nian, Y., Han, Y., Ren, Z., Zhang, H., Hu, L., Prasad, B. V. V., Laganowsky, A., Yan, N., et al. (2020) · Nature · doi:10.1038/s41586-020-2280-2 · Cited by 123 · see citing works
Structure and catalytic mechanism of a human triacylglycerol-synthesis enzyme
Sui, X., Wang, K., Gluchowski, N. L., Elliott, S. D., Liao, M., Walther, T. C., & Farese, R. V. (2020) · Nature · doi:10.1038/s41586-020-2289-6 · Cited by 120 · see citing works
The structural basis for the phospholipid remodeling by lysophosphatidylcholine acyltransferase 3
Zhang, Q., Yao, D., Rao, B., Jian, L., Chen, Y., Hu, K., Xia, Y., Li, S., Shen, Y., Qin, A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-27244-1 · Cited by 113 · see citing works
Structural basis for catalysis and substrate specificity of human ACAT1
Qian, H., Zhao, X., Yan, R., Yao, X., Gao, S., Sun, X., Du, X., Yang, H., Wong, C. C. L., & Yan, N. (2020) · Nature · doi:10.1038/s41586-020-2290-0 · Cited by 108 · see citing works
Crystal structure of a membrane-bound O-acyltransferase
Ma, D., Wang, Z., Merrikh, C. N., Lang, K. S., Lu, P., Li, X., Merrikh, H., Rao, Z., & Xu, W. (2018) · Nature · doi:10.1038/s41586-018-0568-2 · Cited by 105 · see citing works
Structure of nevanimibe-bound tetrameric human ACAT1
Long, T., Sun, Y., Hassan, A., Qi, X., & Li, X. (2020) · Nature · doi:10.1038/s41586-020-2295-8 · Cited by 97 · see citing works
Rhomboid distorts lipids to break the viscosity-imposed speed limit of membrane diffusion
Kreutzberger, A. J. B., Ji, M., Aaron, J., Mihaljević, L., & Urban, S. (2019) · Science · doi:10.1126/science.aao0076 · Cited by 92 · see citing works
Guan, C., Niu, Y., Chen, S., Kang, Y., Wu, J.-X., Nishi, K., Chang, C. C. Y., Chang, T., Luo, T., & Chen, L. (2020) · Nature Communications · doi:10.1038/s41467-020-16288-4 · Cited by 86 · see citing works
Structural basis of nucleotide sugar transport across the Golgi membrane
Parker, J. L., & Newstead, S. L. (2017) · Nature · doi:10.1038/nature24464 · Cited by 82 · see citing works
Piper, S. J., Johnson, R. M., Wootten, D. L., & Sexton, P. M. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00837 · Cited by 78 · see citing works
Translocation of proteins through a distorted lipid bilayer
Wu, X., & Rapoport, T. (2021) · Trends in Cell Biology · doi:10.1016/j.tcb.2021.01.002 · Cited by 65 · see citing works
Buglino, J. A., & Resh, M. D. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011195 · Cited by 57 · see citing works
Membrane Heterogeneity Beyond the Plasma Membrane
Wang, H., Bharti, D., & Levental, I. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.580814 · Cited by 56 · see citing works
Substrate and product complexes reveal mechanisms of Hedgehog acylation by HHAT
Jiang, Y., Benz, T. L., & Long, S. B. (2021) · Science · doi:10.1126/science.abg4998 · Cited by 55 · see citing works
Structure, mechanism, and inhibition of Hedgehog acyltransferase
Coupland, C. E., Andrei, S. A., Ansell, T. B., Carrique, L., Kumar, P., Sefer, L., Schwab, R. A., Byrne, E. F. X., Pardon, E., Steyaert, J., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.11.018 · Cited by 55 · see citing works
Self-citationCaldo, K. M. P., Acedo, J. Z., Panigrahi, R. R., Vederas, J. C., Weselake, R. J., & Lemieux, M. J. (2017) · PLANT PHYSIOLOGY · doi:10.1104/pp.17.00934 · Cited by 53 · see citing works
Molecular Dynamics Simulations of Kir2.2 Interactions with an Ensemble of Cholesterol Molecules
Barbera, N. A., Ayee, M. A. A., Akpa, B. S., & Levitan, I. (2018) · Biophysical Journal · doi:10.1016/j.bpj.2018.07.041 · Cited by 53 · see citing works
Mapping bilayer thickness in the ER membrane
Prasad, R., Sliwa-Gonzalez, A., & Barral, Y. (2020) · Science Advances · doi:10.1126/sciadv.aba5130 · Cited by 36 · see citing works
Zhuang, Y., Noviello, C., Hibbs, R. E., Howard, R. J., & Lindahl, E. R. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2208081119 · Cited by 35 · see citing works
Molecular structures of human ACAT2 disclose mechanism for selective inhibition
Long, T., Liu, Y., & Li, X. (2021) · Structure · doi:10.1016/j.str.2021.07.009 · Cited by 32 · see citing works
Ansell, T. B., Song, W., Coupland, C. E., Carrique, L., Corey, R. A., Duncan, A. L., Cassidy, C. K., Geurts, M. M. G., Rasmussen, T., Ward, A. B., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-43392-y · Cited by 31 · see citing works
Self-citationCampaña, M. B., Irudayanathan, F. J., Davis, T. R., McGovern-Gooch, K. R., Loftus, R., Ashkar, M., Escoffery, N., Navarro, M., Sieburg, M. A., Nangia, S., et al. (2019) · Journal of Biological Chemistry · doi:10.1074/jbc.ac119.009749 · Cited by 30 · see citing works
Rocking the MBOAT: Structural insights into the membrane bound O-acyltransferase family
Coupland, C. E., Ansell, T. B., Sansom, M. S. P., & Siebold, C. (2023) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2023.102589 · Cited by 22 · see citing works
Self-citationWang, K., Lee, C., Sui, X., Kim, S., Wang, S., Higgs, A., Baublis, A., Voth, G. A., Liao, M., Walther, T. C., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38932-5 · Cited by 22 · see citing works
DHHC20 Palmitoyl-Transferase Reshapes the Membrane to Foster Catalysis
Stix, R., Song, J., Banerjee, A., & Faraldo‐Gómez, J. D. (2019) · Biophysical Journal · doi:10.1016/j.bpj.2019.11.003 · Cited by 16 · see citing works
High-throughput crystallography for rapid fragment growth from crude arrays by low-cost roboticsPreprint
Grosjean, H., Aimon, A., Hassell‐Hart, S., Thompson, W. A., Koekemoer, L., Bennett, J. M., Anderson, C., Fitzgerald, E. A., Krojer, T. J., Bradley, A. R., et al. (2023) · ChemRxiv · doi:10.26434/chemrxiv-2023-6m2s0 · Cited by 3 · see citing works
Ansell, T. B., Song, W., Coupland, C. E., Carrique, L., Corey, R. A., Duncan, A. L., Cassidy, C. K., Geurts, M. M. G., Rasmussen, T., Ward, A. B., et al. (2023) · Research Square · doi:10.21203/rs.3.pex-2408/v1 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Acyltransferases that Modify Cell Surface Polymers Across the Membrane
Schultz, B. J., & Walker, S. (2025) · Biochemistry · doi:10.1021/acs.biochem.4c00731 · Cited by 3 · see citing works
Structural basis for Porcupine inhibition
Black, K. A., Mobbs, J. I., Venugopal, H., Dite, T. A., Leis, A., Wong, L. L., Dagley, L. F., Thal, D. M., & Glukhova, A. (2025) · Communications Chemistry · doi:10.1038/s42004-025-01726-5 · Cited by 2 · see citing works
Li, D., Qiang, Q., He, Z., Chen, F., Chen, B.-Z., Xu, Y., Guo, J., Yang, J., Yu, W.-B., Xu, Y.-H., et al. (2026) · Horticulture Research · doi:10.1093/hr/uhag114
Agarwal, S., Popert, R., Agapow, P., Ruff, C. A., & Gupta, S. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.21.727002
Peng, L., Zhang, C., Agustiar, A. A., Liang, H., & Ma, X. (2026) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.6c07776
- Authors
- Ansell, T. B., Healy, M., Coupland, C. E., Sansom, M. S. P., & Siebold, C.
- Affiliations
- SLAC National Accelerator Laboratory (US)
- University of Oxford (GB)
- Centre for Human Genetics (GB)
- Corresponding author
- Ansell, T. Bertie
- Venue
- Structure
- Publisher
- Elsevier BV
- Published
- 2024-07
- Volume
- 32
- Issue
- 7
- Pages
- 1011-1022.e3
- ISSN
- 0969-2126 (ISSN-L)
- OpenAlex
- W4394893759
- Cited by
- 4
- References
- 67
- Citations by year
- 2026: 2 · 2025: 2
- FWCI
- 0.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Structure (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion, cc-by)
- Funders
- European Research Council (647278)
- Partnership for Advanced Computing In Europe (2016163984)
- Hospital for Sick Children (208361/Z/17/Z)
- Cancer Research UK (C20724 / A26752, DRCRPG-May23 / 100002)
- Wellcome Trust (102164/Z/13/Z)
- BBSRC (BB/R00126X/1, BB/T01508X/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Lipid Membrane Structure and Behavior
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
- Keywords
- DGAT1, lipid binding sites, dimerization, hydrogen bonding, solvation, enzyme specificity
- MeSH terms
- Acyltransferases, Binding Sites, Humans, Hydrogen Bonding, Lipid Bilayers, Protein Binding, Substrate Specificity, Catalytic Domain, Protein Multimerization, Molecular Dynamics Simulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review