Abstract
Three-dimensional conformation is the primary determinant of molecular properties. The thermal energy available at room temperature typically equilibrates the accessible conformational states. Here, we introduce a method for isolating unique and previously understudied conformations of macrocycles. The observation of unusual conformations of 16- to 22-membered rings has been made possible by controlling their interconversion using dominant rotors, which represent tunable atropisomeric constituents with relatively high rotational barriers. Density functional theory and in situ NMR measurements suggest that dominant rotor candidates for the amino-acid-based structures considered here should possess a rotational energy barrier of at least 25 kcal mol−1. Notable differences in the geometries of the macrocycle conformations were identified by NMR spectroscopy and X-ray crystallography. There is evidence that amino acid residues can be forced into rare turn motifs not observed in the corresponding linear counterparts and homodetic rings. These findings should unlock new avenues for studying the conformation–activity relationships of bioactive molecules.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
Data availability
Crystallographic data for the structures reported in this article have been deposited at the Cambridge Crystallographic Data Centre, under deposition numbers CCDC 1956029 (11b), 1956026 (11c), 1956027 (Sa-11e), 1956031 (Ra-11e), 1956032 (Ra-12c), 1956038 (Sa-12c), 1956030 (Sa-13b) and 1956028 (Sa-13c). Copies of the data can be obtained free of charge via https://www.ccdc.cam.ac.uk/structures/. The .xyz files with outputs of all DFT and xtb calculations performed in this study are contained in the .zip file named SI_data.zip, and are also hosted on the following GitHub page: https://github.com/gabegomes/Illuminating-the-dark-conformational-space-using-dominantrotors. The dihedral angle data used to construct the Ramachandran plots of the compounds in this article are reported in Section 1.1.12 of the Supplementary Information. Correspondence and requests for materials should be addressed to A.K.Y.
References
Anslyn, E. V. & Dougherty, D. A. Modern Physical Organic Chemistry. (Univ. Science Books: 2006).
Hammond, G. S. A correlation of reaction rates. J. Am. Chem. Soc. 77, 334–338 (1955).
Canfield, P. J. et al. A new fundamental type of conformational isomerism. Nat. Chem. 10, 615–624 (2018).
Scherer, G., Kramer, M. L., Schutkowski, M., Reimer, U. & Fischer, G. Barriers to rotation of secondary amide peptide bonds. J. Am. Chem. Soc. 120, 5568–5574 (1998).
Leroux, F. Atropisomerism, biphenyls, and fluorine: a comparison of rotational barriers and twist angles. ChemBioChem 5, 644–649 (2004).
Brameld, K. A., Kuhn, B., Reuter, D. C. & Stahl, M. Small molecule conformational preferences derived from crystal structure data. A medicinal chemistry focused analysis. J. Chem. Inf. Model. 48, 1–24 (2008).
Hoffmann, R. W. Flexible molecules with defined shape—conformational design. Angew. Chem. Int. Ed. Engl. 31, 1124–1134 (1992).
Golan, O., Cohen, S. & Biali, S. E. cis-syn-cis-1,2,4,5-Tetracyclohexylcyclohexane. A moderately crowded saturated hydrocarbon adopting a twist-boat conformation. J. Org. Chem. 64, 6505–6507 (1999).
Englander, S. W. & Mayne, L. The nature of protein folding pathways. Proc. Natl Acad. Sci. USA 11, 15873–15880 (2014).
Franco, R., Gil-Caballero, S., Ayala, I., Favier, A. & Brutscher, B. Probing conformation exchange dynamics in a short-lived protein folding intermediate by real-time relaxation–dispersion NMR. J. Am. Chem. Soc. 139, 1065–1068 (2017).
Dyson, H. J. & Wright, P. E. Unfolded proteins and protein folding studied by NMR. Chem. Rev. 104, 3607–3622 (2004).
Zhu, J., Zhu, J. & Springer, T. A. Complete integrin headpiece opening in eight steps. J. Cell Biol. 201, 1053–1068 (2013).
Brereton, A. E. & Karplus, P. A. Native proteins trap high-energy transit conformations. Sci. Adv. 1, e1501188 (2015).
De Marco, R., Zhao, J., Arianna, G., Ioannone, S. & Gentilucci, L. In-peptide synthesis of imidazolidine-2-one scaffolds, equippable with proteinogenic or taggable/linkable side chains, general promoters of unusual secondary structures. J. Org. Chem. 84, 4992–5004 (2019).
Yang, D., Ng, F.-F. & Li, Z.-J. An unusual turn structure in peptides containing α-aminoxy acids. J. Am. Chem. Soc. 118, 9794–9795 (1996).
Fernández-Tejada, A., Corzana, F., Busto, J. H., Avenoza, A. & Peregrina, J. M. Stabilizing unusual conformations in small peptides and glucopeptides using a hydroxylated cyclobutene amino acid. Org. Biomol. Chem. 7, 2885–2893 (2009).
Grotenbreg, G. M. et al. An unusual reverse turn structure adopted by a furanoid sugar amino acid incorporated in gramicidin S. J. Am. Chem. Soc. 126, 3444–3446 (2004).
Roesner, S. et al. Macrocyclisation of small peptides enabled by oxetane incorporation. Chem. Sci. 10, 2465–2472 (2019).
Altmayer-Henzien, A., Declerck, V., Guillot, R. & Aitken, D. J. Reactivity of 1-aminoazetidine-2-carboxylic acid during peptide forming procedures: observation of an unusual variant of the hydrazino turn. Tetrahedron Lett. 54, 802–805 (2013).
Maji, S. K. et al. Peptide design using ω-amino acids: unusual turn structures nucleated by an N-terminal single γ-aminobutryic acid residue in short model peptides. J. Org. Chem. 67, 633–639 (2002).
Fitzkee, N. C. et al. Are proteins made from a limited parts list? Trends Biochem. Sci. 30, 73–80 (2005).
White, C. J. & Yudin, A. K. Contemporary strategies for peptide macrocyclization. Nat. Chem. 3, 509–524 (2011).
Malde, A. K., Hill, T. A., Iyer, A. & Fairlie, D. P. Crystal structures of protein-bound cyclic peptides. Chem. Rev. 119, 9861–9914 (2019).
Appavoo, S. D., Huh, S., Diaz, D. B. & Yudin, A. K. Conformational control of macrocycles by remote structural modification. Chem. Rev. 119, 9724–9752 (2019).
Ikuta, D. et al. Conformationally supple glucose monomers enable synthesis of the smallest cyclodextrins. Science 364, 674–677 (2019).
Wang, Y. et al. A stable silicon(0) compound with a Si=Si double bond. Science 321, 1069–1071 (2008).
Arduengo, A. J. III, Harlow, R. L. & Kline, M. A stable crystalline carbene. J. Am. Chem. Soc. 113, 361–363 (1991).
Ganesamoorthy, C. et al. A silicon–carbonyl complex stable at room temperature. Nat. Chem. 12, 608–614 (2020).
Stolow, R. D. A quantitative relationship between dissociation constants and conformational equilibria. Cyclohexanecarboxylic acids. J. Am. Chem. Soc. 81, 5806–5811 (1959).
Sugg, E. E., Griffin, J. F. & Portoghese, P. S. Influence of pseudoallylic strain on the conformational preference of 4-methyl-4-phenylpipecolic acid derivatives. J. Org. Chem. 50, 5032–5037 (1985).
Coleman, P. J. et al. Discovery of [(2R,5R)-5-{[(5-fluoropyridin-2-yl)oxy]methyl}-2-methylpiperidin-1-yl][5-methyl-2-(pyrimidin-2-yl)phenyl]methanone (MK-6096): a dual orexin receptor antagonist with potentsleep-promoting properties. ChemMedChem 7, 415–424 (2012).
Lam, P. Y. S. et al. Rational design of potent, bioavailable, nonpeptide cyclic ureas as HIV protease inhibitors. Science 263, 380–384 (1994).
Elleraas, J. et al. Conformational studies and atropisomerism kinetics of the ALK clinical candidate lorlatinib (PF-06463922) and desmethyl congeners. Angew. Chem. Int. Ed. 55, 3590–3595 (2016).
Bragg, R. A., Clayden, J., Morris, G. A. & Pink, J. H. Stereodynamics of bond rotation in tertiary aromatic amides. Chem. Eur. J. 8, 1279–1289 (2002).
Lorentzen, M. et al. Atropisomerism in tertiary biaryl 2-amides: a study of Ar–CO and Ar–Ar′ rotational barriers. J. Org. Chem. 82, 7300–7308 (2017).
Craik, D. J., Kaas, Q. & Wang, C. K. in Practical Medicinal Chemistry with Macrocycles: Design, Synthesis, and Case Studies Vol. 1 (eds Marsault, E. & Peterson, M. L.) Ch. 2 (Wiley, 2017).
Henzler-Wildman, K. & Kern, D. Dynamic personalities of proteins. Nature 450, 964–972 (2007).
Grimme, S. Exploration of chemical compound, conformer, and reaction space with meta-dynamics simulations based on tight-binding quantum chemical calculations. J. Chem. Theory Comput. 15, 2847–2862 (2019).
Hosseinzadeh, P. et al. Comprehensive computational design of ordered peptide macrocycles. Science 358, 1461–1466 (2017).
Yudin, A. K. Macrocycles: lessons from the distant past, recent developments, and future directions. Chem. Sci. 6, 30–49 (2015).
Richardson, J. S. The anatomy and taxonomy of protein structure. Adv. Protein Chem. 34, 167–339 (1981).
Rubio-Martinez, J., Tomas, M. S. & Perez, J. J. Effect of the solvent on the conformational behavior of the alanine dipeptide deduced from MD simulations. J. Mol. Graph. Model. 78, 118–128 (2017).
Lovell, S. C. et al. Structure validation by Cα geometry: ϕ,ψ and Cβ deviation. Proteins 50, 437–450 (2003).
Ung, P. & Winkler, D. A. Tripeptide motifs in biology: targets for peptidomimetic design. J. Med. Chem. 54, 1111–1125 (2011).
Niggli, D. A., Ebert, M.-O., Lin, Z., Seebach, D. & van Gunsteren, W. F. Helical content of a β3-octapeptide in methanol: molecular dynamics simulations explain a seeming discrepancy between conclusions derived from CD and NMR data. Chem. Eur. J. 18, 586–593 (2012).
Pavone, V. et al. Discovering protein secondary structures: classification and description of isolated α-turns. Biopolymers 38, 705–721 (1996).
Chou, K.-C. Prediction and classification of α-turn types. Biopolymers 42, 837–853 (1997).
Weinhold, F., Landis, C. R. & Glendening, E. D. What is NBO analysis and how is it useful? Int. Rev. Phys. Chem. 35, 399–440 (2016).
Newberry, R. W. & Raines, R. T. The n→π* interaction. Acc. Chem. Res. 50, 1838–1846 (2017).
Wenzell, N. A. et al. Electronic and steric control of n→π* interactions: stabilization of the α-helix conformation without a hydrogen bond. ChemBioChem 20, 963–967 (2019).
Fernández, A. Keeping dry and crossing membranes. Nat. Biotechnol. 22, 1081–1084 (2004).
Rajashankar, K. R. & Ramakumar, S. π-Turns in proteins and peptides: classification, occurrence, hydration and sequence. Protein Sci. 5, 932–946 (1996).
Dasgupta, B. & Chakrabarti, P. pi-Turns: types, systematics and the context of their occurrence in protein structures. BMC Struct. Biol. 8, 39 (2008).
VnmrJ 3.2 (Agilent Technologies, 2011).
Frost, J. R., Scully, C. C. G. & Yudin, A. K. Oxadiazole grafts in peptide macrocycles. Nat. Chem. 8, 1105–1111 (2016).
Frisch, J. M. et al. Gaussian 16, Revision C.01 (Gaussian, 2016).
O’Boyle, N. M. et al. Open Babel: an open chemical toolbox. J. Cheminform. 3, 33 (2011).
Open Babel, Version 2.3.1 (2011); http://openbabel.org/
Bannwarth, C., Ehlert, S. & Grimme, S. GFN2-xTB—an accurate and broadly parametrized self-consistent tight-binding quantum chemical method with multipole electrostatics and density-dependent dispersion contributions. J. Chem. Theory Comput. 15, 1652–1671 (2019).
Scalmani, G. & Frisch, M. J. Continuous surface charge polarizable continuum models of solvation. I. General formalism. J. Chem. Phys. 132, 114110 (2010).
Becke, A. D. Density-functional thermochemistry. III. The role of exact exchange. J. Chem. Phys. 98, 5648–5652 (1993).
Lee, C., Yang, W. & Parr, R. G. Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density. Phys. Rev. B 37, 785–789 (1988).
Grimme, S., Antony, J., Ehrlich, S. & Krieg, H. A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu. J. Chem. Phys. 132, 154104 (2010).
Grimme, S., Ehrlich, S. & Goerigk, L. Effect of the damping function in dispersion corrected density functional theory. J. Comput. Chem 32, 1456–1465 (2011).
Luchini, G., Alegre-Requena, J. V., Funes-Ardoiz, I. & Paton, R. S. GoodVibes: automated thermochemistry for heterogeneous computational chemistry data [version 1; peer review: 2 approved with reservations]. F1000Res. 9, 291 (2020).
Glendening, E. D., Landis, C. R. & Weinhold, F. NBO 6.0: natural bond orbital analysis program. J. Comput. Chem. 34, 1429–1437 (2013).
Chemcraft, Version 1.8 (2019); https://www.chemcraftprog.com
Legault, C. Y., CYLview, 1.0b (Université de Sherbrooke, 2009); http://www.cylview.org
The PyMOL Molecular Graphics System, Version 2.3.4 (Schrödinger, 2019).
Pedregal, J. R.-G., Gómez-Orellana, P. & Maréchal, J.-D. ESIgen: electronic supporting information generator for computational chemistry publications. J. Chem. Inf. Model. 58, 561–564 (2018).
Clayden, J., Moran, W. J., Edwards, P. J. & LaPlante, S. R. The challenge of atropisomerism in drug discovery. Angew. Chem. Int. Ed. 48, 6398–6401 (2009).
LaPlante, S. R. et al. Assessing atropisomer axial chirality in drug discovery and development. J. Med. Chem. 54, 7005–7022 (2011).
Acknowledgements
We thank the Natural Sciences and Engineering Research Council (NSERC) for financial support. D.B.D. and S.D.A. thank the NSERC for PGS-D funding. G.P.G. thanks the NSERC for a Banting Postdoctoral Fellowship. We thank A. J. Lough for X-ray structure determination and D. C. Burns of the CSICOMP NMR facility for assistance with spectroscopic experiments. We thank Compute Canada for computational resources. DFT and NBO computations were performed on the Niagara supercomputer at the SciNet HPC Consortium. SciNet is funded by the Canada Foundation for Innovation, the Government of Ontario, Ontario Research Fund - Research Excellence and the University of Toronto. Helpful discussions with R. Mendoza-Sanchez, C. C. G. Scully, A. Holownia, S. K. Liew, H. S. Soor, C. N. Apte and A. L. Roughton are greatly appreciated. We also thank A. Aspuru-Guzik, K. Z. Demmans, S. C. Khojasteh, L. A. Dutra, F. Sprang and B. Hamzaev for their help on ongoing projects related to the use of the dominant rotors described here.
Author information
Authors and Affiliations
Contributions
A.K.Y. and D.B.D. conceived the study and designed the experiments; D.B.D., A.F.B., Y.L. and T.J.M. carried out macrocycle synthesis, purification and characterization; D.B.D. obtained and analysed the kinetic and thermodynamic data; S.D.A. and D.B.D. computed the NMR-based structures and performed unrestrained MD simulations; Y.L. and D.B.D. obtained X-ray quality crystals of the macrocycles; G.P.G. performed DFT and NBO calculations; D.B.D. and A.K.Y. wrote the paper with help from all the authors.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Peer review information Nature Chemistry thanks the anonymous reviewers for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data
Extended Data Fig. 1 Characterization of dominant rotor-containing macrocyclic peptides.
a, 2D Exchange spectroscopy of 11b (top) and 11c (bottom) in DMSO-d6 at 25 °C. The negative cross-peak in the spectrum of 11b suggests an exchange between two conformers on the NMR time scale due to atropisomerism at the biaryl rotor71,72. b, LC-MS chromatograms of linear starting material Fmoc-Trz-AGF (top), Ra-12c (middle) and Sa-12c (bottom) atropdiastereomeric macrocycles.
Extended Data Fig. 2 Hydrogen-deuterium exchange of the backbone amide groups of Sa- and Ra-11e.
Differences in amide NH hydrogen-deuterium exchange rates and chemical shift/temperature coefficients show that dominant rotors can stabilize distinct solution conformations.
Extended Data Fig. 3 Contrasting the structural features of dominant rotor peptides and homodetic counterparts.
a, Hydrogen-bonding profile and temperature-chemical shift coefficients (Tcoeff) of homodetic peptide 15 and dominant rotor 12c macrocycles, based on the AGF sequence, as measured by VT 1H NMR spectroscopy. Hydrogen atoms engaged in intramolecular hydrogen bonding and their corresponding NMR signals are highlighted here by grey rectangles. b, Frequency histograms of the AGF conformation over the unrestrained MD trajectory revealed a large population shift in 15 relative to 12c. The macrocycle flexibility in the dominant rotor peptides was assessed computationally and deduced to be minimal, with average backbone atom deviations below 0.2 Å. Both Ra- and Sa-12c structures were stabilized by 13-membered hydrogen bonds with lengths (Å) of 2.3 ± 0.7 and 2.4 ± 1.0, respectively, over the course of the 100ns MD trajectories. An overlay of the backbone atoms for the 10 lowest energy clusters in each peptide shows that dominant rotor peptide conformations are closely matched and are well-behaved in solution. Side chains are omitted for clarity. c, An overlay of the X-ray crystal structure (grey) and NMR solution structure (blue) of compound Ra-12c show a close overlap between the solid- and solution-phase structures. d, Energetic contribution of hydrogen bonds to conformational stabilization in Ra-12c. Hydrogen bond distances (Å): α, 1.85; β, 2.71. Second-order stabilization energies (in kcal mol−1): α, 9.1; β, < 0.5. NBO analysis of nO → σ*NH interactions between the dominant rotor carbonyl and transannular amides. e, The NBO interaction of the nO → π*CO between the dominant rotor and Ala1 was calculated to be 2.8 kcal mol−1 with an O•••C distance of 2.65 Å and OCO angle of 103.4º.
Extended Data Fig. 4 Generality of hydrogen-bonding patterns across dominant rotor-containing macrocycles.
a, Structural scope of dominant rotor peptides with Ra-(red) and Sa-(grey) average backbone solution structures superimposed on the three consecutive natural amino acid residues. Root mean-squared deviation (RMSD) shown for macrocycle backbone atoms. The type II αRU-turn was detected in every Ra-well except for 12h, which exhibited a left-handed helical turn. Apart from 12g, the Sa-wells are variable and access a variety of different turn types and conformations containing non-hydrogen bonded amides. Dominant rotor omitted for clarity. Gibbs free energy differences in kcal mol−1 are shown in brackets.
Extended Data Fig. 5 Choosing bis-methylated dominant rotors can result in additional differentiation of the observed conformational states.
Replacement of the mono-methyl dominant rotor in 12c with a bis-methylated rotor disrupts α-turn formation and stabilizes a non-classical β-turn type in Ra-12d (grey). This conformational change in the Ra-well is supported by a decrease in the coupling constant (3JHNCH) of the alanine NH residue from 5.3 to 2.3 Hz. The increase from 4.7 to 7.7 Hz in the Sa-well also indicates a change in the alanine ϕ dihedral angle of Sa-12d (green). Ramachandran plots of the three α-carbon atoms in the AGF sequence of the 10 lowest energy clusters for each dominant rotor peptide show that the Ra-12d conformer is less scattered than Sa-12d, and therefore more rigid.
Extended Data Fig. 6 Observation of unusual conformations in 22-membered rings.
Arrow diagram of the PGLGF (proline-glycine-leucine-glycine-phenylalanine) sequence shows that Gly2 and Phe5 adopt vastly different backbone conformations in two-well system 14c. The NMR-solution structure of Ra-14c (cyan) shows that the dominant rotor carbonyl engages the Gly2 amide NH in an inverse γ-turn, which enforces a type I-αLS turn for the LGF segment. Sa-14c (green) adopts a novel π-turn with an internal β-turn that is stabilized by a hydrogen bond between the carbonyl oxygen and amide NH of the dominant rotor. VT NMR studies are in agreement with these unique hydrogen-bond patterns.
Supplementary information
Supplementary Information
Supplementary Methods, Discussion, Figs. 1–13, Tables 1 and 2, Appendix 1: NMR spectra, Appendix 2: X-ray coordinate data, Appendix 3: torsion scan coordinate data, Appendix 4: NBO coordinate data.
Supplementary Data 1
.xyz files of the geometries obtained from DFT calculations.
Supplementary Data 2
Crystallographic data for compound 11c. CCDC reference 1956026.
Supplementary Data 3
Crystallographic data for compound Sa-11e. CCDC reference 1956027.
Supplementary Data 4
Crystallographic data for compound Sa-13c. CCDC reference 1956028.
Supplementary Data 5
Crystallographic data for compound 11b. CCDC reference 1956029.
Supplementary Data 6
Crystallographic data for compound Sa-13b. CCDC reference 1956030.
Supplementary Data 7
Crystallographic data for compound Ra-11e. CCDC reference 1956031.
Supplementary Data 8
Crystallographic data for compound Ra-12c. CCDC reference 1956032.
Supplementary Data 9
Crystallographic data for compound Sa-12c. CCDC reference 1956038.
Rights and permissions
About this article
Cite this article
Diaz, D.B., Appavoo, S.D., Bogdanchikova, A.F. et al. Illuminating the dark conformational space of macrocycles using dominant rotors. Nat. Chem. 13, 218–225 (2021). https://doi.org/10.1038/s41557-020-00620-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41557-020-00620-y
This article is cited by
-
Controlled interconversion of macrocyclic atropisomers via defined intermediates
Nature Communications (2024)
-
Photoinduced dual bond rotation of a nitrogen-containing system realized by chalcogen substitution
Nature Chemistry (2024)
-
Targeted sampling of natural product space to identify bioactive natural product-like polyketide macrolides
Nature Communications (2024)
-
The occurrence of ansamers in the synthesis of cyclic peptides
Nature Communications (2022)
-
Mechanically axially chiral catenanes and noncanonical mechanically axially chiral rotaxanes
Nature Chemistry (2022)