Skip to Content

Education & Research in Regenerative Science for Verified Professionals
Peptides : nature.com subject feeds

Iterative acylation on mature lasso peptides by widespread acetyltransferases

March 13, 2026
March 13, 2026 Peptides : nature.com subject feeds

A preprint version of the article is available at bioRxiv.

Abstract

The biosynthesis of ribosomally synthesized and posttranslationally modified peptides (RiPPs) leverages iterative catalysis to enhance structural and biological diversity. Traditionally, iterative enzymes install posttranslational modifications on linear peptides, rather than mature RiPPs with intricate three-dimensional structures, which require complex changes in substrate binding. Here we present a prolific class of GCN5-related N-acetyltransferases (GNATs) that iteratively and consecutively acylate two Lys residues within the loop and ring motifs of lasso peptides, diverging from the typical iterative modification of linear peptides. Utilizing high-resolution cryogenic-electron microscopy and enzymatic reconstitution, we define the lasso peptide-binding pocket of IatT and pinpoint key residues that distinguish its two distinct acetylation steps. Structure-based engineering of IatT’s acetyl-recognition site expands the cavity to accommodate longer-chain acyl groups, enabling the creation of lipolasso peptides, a class of ribosomal lipopeptide. This engineering strategy can be applied to any RiPP biosynthetic gene cluster encoding GNAT, facilitating the efficient diversification of ribosomal lipopeptides.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Schematic depiction of representative RiPP PTMs and structures.
Fig. 2: Bioinformatic analysis and heterologous expression of lasso peptide BGCs encoding GNATs.
Fig. 3: Characterization of IatT in vitro.
Fig. 4: Cryo-EM structures and mutagenesis studies of IatT.
Fig. 5: Engineering studies of IatT.
Fig. 6: Structures of four classes of ribosomal lipopeptides.

Similar content being viewed by others

Data availability

The data that support the findings of this study are available within the main text and Supplementary Information. The cryo-EM maps of IatT in complex with CoA, AcCoA and AcCoA-2 have been deposited into the Electron Microscopy Database with accession codes EMD-60983, EMD-60984 and EMD-64004, respectively. The corresponding coordinates have been deposited into the PDB with accession codes 9IY3, 9IY4 and 9UBC, respectively. In addition, D7 symmetry-averaged sharpened and unsharpened maps for the IatT-AcCoA-2 whole particle are deposited as additional maps under the corresponding accession code. AMBER parameters were obtained from an open-source database available at http://pc164.materials.uoi.gr/dpapageo/amberparams.php. Data are available from the corresponding authors upon request. Source data are provided with this paper.

References

  1. Pfeiffer, I. P., Schroder, M. P. & Mordhorst, S. Opportunities and challenges of RiPP-based therapeutics. Nat. Prod. Rep. 41, 990–1019 (2024).

    Article  CAS  PubMed  Google Scholar 

  2. Montalban-Lopez, M. et al. New developments in RiPP discovery, enzymology and engineering. Nat. Prod. Rep. 38, 130–239 (2021).

    Article  CAS  PubMed  Google Scholar 

  3. Zhang, S. S. et al. Lanthipeptides from the same core sequence: characterization of a Class II lanthipeptide synthetase from Microcystis aeruginosa NIES-88. Org. Lett. 24, 2226–2231 (2022).

    Article  CAS  PubMed  Google Scholar 

  4. King, A. M. et al. Systematic mining of the human microbiome identifies antimicrobial peptides with diverse activity spectra. Nat. Microbiol. 8, 2420–2434 (2023).

    Article  CAS  PubMed  Google Scholar 

  5. Repka, L. M., Chekan, J. R., Nair, S. K. & van der Donk, W. A. Mechanistic understanding of lanthipeptide biosynthetic enzymes. Chem. Rev. 117, 5457–5520 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Wang, M. et al. SH. Genome mining of sulfonated lanthipeptides reveals unique cyclic peptide sulfotransferases. Acta Pharm. Sin. B 14, 2773–2785 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Burkhart, B. J., Schwalen, C. J., Mann, G., Naismith, J. H. & Mitchell, D. A. YcaO-dependent posttranslational amide activation: biosynthesis, structure, and function. Chem. Rev. 117, 5389–5456 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Xiong, J. et al. Biochemical reconstitution reveals the biosynthetic timing and substrate specificity for thioamitides. Org. Lett. 24, 1518–1523 (2022).

    Article  CAS  PubMed  Google Scholar 

  9. Parent, A. et al. The B(12)-radical SAM enzyme poyC catalyzes valine C(beta)-methylation during polytheonamide biosynthesis. J. Am. Chem. Soc. 138, 15515–15518 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Morinaka, B. I. et al. Radical S-adenosyl methionine epimerases: regioselective introduction of diverse D-amino acid patterns into peptide natural products. Angew. Chem. Int. Ed. Engl. 53, 8503–8507 (2014).

    Article  CAS  PubMed  Google Scholar 

  11. Fuchs, S. W. et al. A lanthipeptide-like N-terminal leader region guides peptide epimerization by radical SAM epimerases: implications for RiPP evolution. Angew. Chem. Int. Ed. Engl. 55, 12330–12333 (2016).

    Article  CAS  PubMed  Google Scholar 

  12. Parent, A. et al. Mechanistic investigations of PoyD, a radical S-adenosyl-l-methionine enzyme catalyzing iterative and directional epimerizations in polytheonamide A biosynthesis. J. Am. Chem. Soc. 140, 2469–2477 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Hudson, G. A. et al. Bioinformatic mapping of radical S-adenosylmethionine-dependent ribosomally synthesized and post-translationally modified peptides identifies new calpha, cbeta, and cgamma-linked thioether-containing peptides. J. Am. Chem. Soc. 141, 8228–8238 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Fluhe, L. & Marahiel, M. A. Radical S-adenosylmethionine enzyme catalyzed thioether bond formation in sactipeptide biosynthesis. Curr. Opin. Chem. Biol. 17, 605–612 (2013).

    Article  PubMed  Google Scholar 

  15. Chekan, J. R., Ongpipattanakul, C. & Nair, S. K. Steric complementarity directs sequence promiscuous leader binding in RiPP biosynthesis. Proc. Natl Acad. Sci. USA 116, 24049–24055 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Cheung, W. L., Chen, M. Y., Maksimov, M. O. & Link, A. J. Lasso peptide biosynthetic protein LarB1 binds both leader and core peptide regions of the precursor protein LarA. ACS Cent. Sci. 2, 702–709 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Baquero, F. et al. The pearl jubilee of microcin J25: thirty years of research on an exceptional lasso peptide. Nat. Prod. Rep. 41, 469–511 (2024).

    Article  CAS  PubMed  Google Scholar 

  18. Duan, Y. et al. Unusual post-translational modifications in the biosynthesis of lasso peptides. Int. J. Mol. Sci. 23, 7231–7247 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Cao, L. et al. Cellulonodin-2 and lihuanodin: lasso peptides with an aspartimide post-translational modification. J. Am. Chem. Soc. 143, 11690–11702 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Cao, L., Elashal, H. E. & Link, A. J. Kinetics of aspartimide formation and hydrolysis in lasso peptide lihuanodin. Biochemistry 62, 695–699 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Sun, K. et al. Iterative glycosylation on a single residue of a mature lasso peptide. Chem. Sci. 16, 6480–6487 (2025).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Kozakai, R. et al. Acyltransferase that catalyses the condensation of polyketide and peptide moieties of goadvionin hybrid lipopeptides. Nat. Chem. 12, 869–877 (2020).

    Article  CAS  PubMed  Google Scholar 

  23. Wiebach, V. et al. The anti-staphylococcal lipolanthines are ribosomally synthesized lipopeptides. Nat. Chem. Biol. 14, 652–654 (2018).

    Article  CAS  PubMed  Google Scholar 

  24. Hubrich, F. et al. Ribosomally derived lipopeptides containing distinct fatty acyl moieties. Proc. Natl Acad. Sci. USA 119, e2113120119 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Zong, C., Cheung-Lee, W. L., Elashal, H. E., Raj, M. & Link, A. J. Albusnodin: an acetylated lasso peptide from Streptomyces albus. Chem. Commun. 54, 1339–1342 (2018).

    Article  CAS  Google Scholar 

  26. Tietz, J. I. et al. A new genome-mining tool redefines the lasso peptide biosynthetic landscape. Nat. Chem. Biol. 13, 470–478 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Oberg, N., Zallot, R. & Gerlt, J. A. EFI-EST, EFI-GNT, and EFI-CGFP: enzyme function initiative (EFI) web resource for genomic enzymology tools. J. Mol. Biol. 435, 168018 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Zallot, R., Oberg, N. & Gerlt, J. A. The EFI web resource for genomic enzymology tools: leveraging protein, genome, and metagenome databases to discover novel enzymes and metabolic pathways. Biochemistry 58, 4169–4182 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Wang, W. et al. An engineered strong promoter for streptomycetes. Appl. Environ. Microbiol. 79, 4484–4492 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Pan, G. et al. Discovery of the leinamycin family of natural products by mining actinobacterial genomes. Proc. Natl Acad. Sci. USA 114, E11131–E11140 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Guo, M. X. et al. Genome mining of linaridins provides insights into the widely distributed LinC oxidoreductases. J. Nat. Prod. 86, 2333–2341 (2023).

    Article  CAS  PubMed  Google Scholar 

  32. Knappe, T. A. et al. Introducing lasso peptides as molecular scaffolds for drug design: engineering of an integrin antagonist. Angew. Chem. Int. Ed. Engl. 50, 8714–8717 (2011).

    Article  CAS  PubMed  Google Scholar 

  33. Ducasse, R. et al. Sequence determinants governing the topology and biological activity of a lasso peptide, microcin J25. Chem. Bio. Chem. 13, 371–380 (2012).

    Article  CAS  PubMed  Google Scholar 

  34. Hegemann, J. D., Zimmermann, M., Xie, X. & Marahiel, M. A. Caulosegnins I-III: a highly diverse group of lasso peptides derived from a single biosynthetic gene cluster. J. Am. Chem. Soc. 135, 210–222 (2013).

    Article  CAS  PubMed  Google Scholar 

  35. Mirdita, M. et al. ColabFold: making protein folding accessible to all. Nat. Methods 19, 679–682 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Tsimbalyuk, S., Shornikov, A., Thi Bich Le, V., Kuhn, M. L. & Forwood, J. K. SpeG polyamine acetyltransferase enzyme from Bacillus thuringiensis forms a dodecameric structure and exhibits high catalytic efficiency. J. Struct. Biol. 210, 107506 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Filippova, E. V. et al. A novel polyamine allosteric site of SpeG from Vibrio cholerae is revealed by its dodecameric structure. J. Mol. Biol. 427, 1316–1334 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Vetting, M. W., Errey, J. C. & Blanchard, J. S. Rv0802c from Mycobacterium tuberculosis: the first structure of a succinyltransferase with the GNAT fold. Acta Crystallogr. Sect. F 64, 978–985 (2008).

    Article  CAS  Google Scholar 

  39. Holm, L., Laiho, A., Toronen, P. & Salgado, M. DALI shines a light on remote homologs: one hundred discoveries. Protein Sci. 32, e4519 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Laganowsky, A. et al. Membrane proteins bind lipids selectively to modulate their structure and function. Nature 510, 172–175 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Marty, M. T., Hoi, K. K., Gault, J. & Robinson, C. V. Probing the lipid annular belt by gas-phase dissociation of membrane proteins in nanodiscs. Angew. Chem. Int. Ed. Engl. 55, 550–554 (2016).

    Article  CAS  PubMed  Google Scholar 

  42. Zhu, D. et al. Pushing the resolution limit by correcting the Ewald sphere effect in single-particle cryo-EM reconstructions. Nat. Commun. 9, 1552 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  43. Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017).

    Article  CAS  PubMed  Google Scholar 

  44. Juarez, R. J. et al. LassoHTP: a high-throughput computational tool for lasso peptide structure construction and modeling. J. Chem. Inf. Model. 63, 522–530 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Yang, Z. J. et al. Mutexa: a computational ecosystem for intelligent protein engineering. J. Chem. Theory Comput. 19, 7459–7477 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Sreedharan, S. M., Rishi, N. & Singh, R. Microbial lipopeptides: properties, mechanics and engineering for novel lipopeptides. Microbiol. Res. 271, 127363 (2023).

    Article  CAS  PubMed  Google Scholar 

  47. Pilz, M., Cavelius, P., Qoura, F., Awad, D. & Bruck, T. Lipopeptides development in cosmetics and pharmaceutical applications: a comprehensive review. Biotechnol. Adv. 67, 108210 (2023).

    Article  CAS  PubMed  Google Scholar 

  48. Ozaki, T. et al. Dissection of goadsporin biosynthesis by in vitro reconstitution leading to designer analogues expressed in vivo. Nat. Commun. 8, 14207 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Ziemert, N., Ishida, K., Liaimer, A., Hertweck, C. & Dittmann, E. Ribosomal synthesis of tricyclic depsipeptides in bloom-forming cyanobacteria. Angew. Chem. Int. Ed. Engl. 47, 7756–7759 (2008).

    Article  CAS  PubMed  Google Scholar 

  50. Zallot, R., Oberg, N. O. & Gerlt, J. A. ‘Democratized’ genomic enzymology web tools for functional assignment. Curr. Opin. Chem. Biol. 47, 77–85 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Gerlt, J. A. Genomic enzymology: web tools for leveraging protein family sequence-function space and genome context to discover novel functions. Biochemistry 56, 4293–4308 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Gerlt, J. A. et al. Enzyme function initiative-enzyme similarity tool (EFI-EST): a web tool for generating protein sequence similarity networks. Biochim. Biophys. Acta 1854, 1019–1037 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Shannon, P. et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 13, 2498–2504 (2003).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Tamura, K., Stecher, G. & Kumar, S. MEGA11: molecular evolutionary genetics analysis version 11. Mol. Biol. Evol. 38, 3022–3027 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Madeira, F. et al. The EMBL-EBI search and sequence analysis tools APIs in 2019. Nucleic Acids Res. 47, W636–W641 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Crooks, G. E., Hon, G., Chandonia, J. M. & Brenner, S. E. WebLogo: a sequence logo generator. Genome Res. 14, 1188–1190 (2004).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Mindell, J. A. & Grigorieff, N. Accurate determination of local defocus and specimen tilt in electron microscopy. J. Struct. Biol. 142, 334–347 (2003).

    Article  PubMed  Google Scholar 

  58. Zheng, S. Q. et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods 14, 331–332 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Zivanov, J., Nakane, T. & Scheres, S. H. W. Estimation of high-order aberrations and anisotropic magnification from cryo-EM data sets in RELION-3.1. IUCrJ 7, 253–267 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Pettersen, E. F. et al. UCSF Chimera—a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612 (2004).

    Article  CAS  PubMed  Google Scholar 

  62. Ud-Din, A. I., Liu, Y. C. & Roujeinikova, A. Crystal structure of Helicobacter pylori pseudaminic acid biosynthesis N-acetyltransferase PseH: implications for substrate specificity and catalysis. PLoS ONE 10, e0115634 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  63. Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D 66, 486–501 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Liebschner, D. et al. Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix. Acta Crystallogr. D 75, 861–877 (2019).

    Article  CAS  Google Scholar 

  65. Williams, C. J. et al. MolProbity: more and better reference data for improved all-atom structure validation. Protein Sci. 27, 293–315 (2018).

    Article  CAS  PubMed  Google Scholar 

  66. Hoi, K. K. et al. Detergent-free lipodisq nanoparticles facilitate high-resolution mass spectrometry of folded integral membrane proteins. Nano Lett. 21, 2824–2831 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Case, D. A. et al. AmberTools. J. Chem. Inf. Model. 63, 6183–6191 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Abraham, M. J. et al. GROMACS: high performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX 1–2, 19–25 (2015).

    Article  Google Scholar 

  69. Ohue, M. et al. MEGADOCK 4.0: an ultra-high-performance protein-protein docking software for heterogeneous supercomputers. Bioinformatics 30, 3281–3283 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Natural Science Foundation of China (grant nos. 22077056 to S.-H.D., 22477050 to S.L., 32171300 to D.L., 22107040 to J.-J.C., 22377046 and 21907046 to S.-H.D., and 12374011 to Y.P.), National Key Research and Development Program of China (2022YFC2903504 to Y.P.), and The Science and Technology Major Program of Gansu Province of China (grant nos. 22ZD6FA006, 23ZDFA015 and 24ZD13FA017 to S.-H.D.).

Author information

Authors and Affiliations

Authors

Contributions

J.X. and S.-H.D. carried out bioinformatic, genetic and biochemical work and performed metabolic analysis, compound isolation and structure elucidation. S.W., Y.P. and D.L. carried out cryo-EM data collection and structure elucidation. Z.-Q.L. started the project and performed heterologous expression and isolation of mirusins. X.-T.G., S.F., F.-Y.T. and J.-J.C. participated in the heterologous expression and cloning experiments. Q.W. facilitated in MALDI–TOF MS data collection. X.W. and K.K.H. performed the native mass data collection and analysis. K.G. supervised and provided guidance for the project. S.L. and S.-H.D. designed, conceived and supervised the project. S.L., D.L. and S.-H.D. analyzed data and wrote the paper with input from all authors.

Corresponding authors

Correspondence to Yong Peng, Shangwen Luo, Dongsheng Lei or Shi-Hui Dong.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Chemical Biology thanks Aaron Smith and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 The bioinformatic analysis of RiPP-associated GNATs.

a, The IatT-containing SSN cluster with 40% (left) and 70% (right) sequence identity threshold. The green and red nodes represent the GNAT sequences of class I and II, respectively. All nodes are nonredundant with identical sequences displayed as a single node. b, The ML tree of RiPP-associated GNATs. The characterized GNATs involved in ribosomal lipopeptide biosynthesis are represented by solid green circles. Class II lasso peptide GNATs are marked with solid red circles, whereas the two exceptions with a Lys5 instead of Lys4 are denoted by purple circles. All other GNATs belong to class I lasso peptides. Characterized lasso peptide GNATs are highlighted in bold blue names, while other IatT-like GNATs are indicated by their UniProt IDs.

Extended Data Fig. 2 Heterologous expression of ven BGC.

a,b, HRMS data for heterologous expression products of ven BGC (a) and ven BGC with VenA-G4K mutation (b). The observed and calculated masses ([M + 2H]2+) of each product are displayed on the corresponding spectra. The C-terminal Cys residue of VenA highlighted by a green dashed rectangle is not present in 4-6. All assays were run in triplicate and representative results are shown.

Extended Data Fig. 3 Binding analysis of IatA and 2* with IatT.

a,b, Structural comparison of IatT-IatA AlphaFold-multimer model with SpeG in complex with spermine related products (a) and PseH bound with AcCoA (b). c, ITC data for titration of 2* into IatT solution. No obvious binding is observed. All assays were run in triplicate and representative results are shown.

Extended Data Fig. 4 Enzymatic activity assays of IatT and homologous GNATs in vitro via LC-HRMS analysis.

a, EICs for assays of IatT using 2* and 1* as substrates. b-h, EICs for assays of AlbT (b), VenT (c), EmbT (d), NocT (e), XiaT (f), JiaT (g), and AlkT (h) using 1 and 2 as substrates. All assays were run in triplicate and representative results are shown.

Extended Data Fig. 5 Flow-chart for cryo-EM data processing.

Shown the data processing procedures for entire protein complex of IatT-CoA (left), IatT-AcCoA (middle), and IatT-AcCoA-2 (right). Details can be found in the Methods section.

Extended Data Fig. 6 Resolution analysis of cryo-EM 3D reconstruction.

Top, overall density maps of the final 3D reconstruction; bottom, the gold-standard Fourier shell correlation (FSC) curves for the 3D reconstruction calculated in cryoSPARC. FSC = 0.143 is indicated.

Extended Data Fig. 7 Conformations 1a (a), 1b (b), 1c (c), 1 d (d), and 1e (e) of lasso peptide 1 in the IatT pocket.

Conformation 1a shown here is identical with that in Fig. 6a with slight movement for comparison purpose. The color codes are the same with Fig. 4f.

Source data

Extended Data Fig. 8 Conformations 1 f (a), 1 g (b), and 1 h (c) of lasso peptide 1 and a different view of the conformation of lasso peptide 2 (d) in the IatT pocket.

The color codes are the same with Figs. 4f and 4g.

Source data

Supplementary information

Source data

Source Data Fig. 4 (download ZIP )

Computational conformation analysis.

Source Data Fig. 4 (download XLSX )

Statistical source data.

Source Data Extended Data Fig. 7 (download ZIP )

Computational conformation analysis.

Source Data Extended Data Fig. 8 (download ZIP )

Computational conformation analysis.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xiong, J., Wu, S., Liang, ZQ. et al. Iterative acylation on mature lasso peptides by widespread acetyltransferases. Nat Chem Biol (2026). https://doi.org/10.1038/s41589-026-02149-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • DOI: https://doi.org/10.1038/s41589-026-02149-6

×

Welcome to Skydell Medical

Let's help you find what you need.

Who are you?

Not sure where to start? Our support team can help guide you. Get Help

How can we help your practice?

Not sure where to start? Our support team can help guide you. Get Help

What would you like to do?

Not sure where to start? Our support team can help guide you. Get Help

Browse Skydell products

Not sure where to start? Our support team can help guide you. Get Help

Choose a topic to explore

Not sure where to start? Our support team can help guide you. Get Help