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Gelžinytė E, Öeren M, Segall MD, Csányi G. Transferable Machine Learning Interatomic Potential for Bond Dissociation Energy Prediction of Drug-like Molecules. J Chem Theory Comput 2024; 20:164-177. [PMID: 38108269 PMCID: PMC10782450 DOI: 10.1021/acs.jctc.3c00710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 11/30/2023] [Accepted: 11/30/2023] [Indexed: 12/19/2023]
Abstract
We present a transferable MACE interatomic potential that is applicable to open- and closed-shell drug-like molecules containing hydrogen, carbon, and oxygen atoms. Including an accurate description of radical species extends the scope of possible applications to bond dissociation energy (BDE) prediction, for example, in the context of cytochrome P450 (CYP) metabolism. The transferability of the MACE potential was validated on the COMP6 data set, containing only closed-shell molecules, where it reaches better accuracy than the readily available general ANI-2x potential. MACE achieves similar accuracy on two CYP metabolism-specific data sets, which include open- and closed-shell structures. This model enables us to calculate the aliphatic C-H BDE, which allows us to compare reaction energies of hydrogen abstraction, which is the rate-limiting step of the aliphatic hydroxylation reaction catalyzed by CYPs. On the "CYP 3A4" data set, MACE achieves a BDE RMSE of 1.37 kcal/mol and better prediction of BDE ranks than alternatives: the semiempirical AM1 and GFN2-xTB methods and the ALFABET model that directly predicts bond dissociation enthalpies. Finally, we highlight the smoothness of the MACE potential over paths of sp3C-H bond elongation and show that a minimal extension is enough for the MACE model to start finding reasonable minimum energy paths of methoxy radical-mediated hydrogen abstraction. Altogether, this work lays the ground for further extensions of scope in terms of chemical elements, (CYP-mediated) reaction classes and modeling the full reaction paths, not only BDEs.
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Affiliation(s)
- Elena Gelžinytė
- Engineering
Laboratory, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, U.K.
| | - Mario Öeren
- Optibrium
Limited, Cambridge Innovation Park, Denny End Road, Cambridge CB25 9GL, U.K.
| | - Matthew D. Segall
- Optibrium
Limited, Cambridge Innovation Park, Denny End Road, Cambridge CB25 9GL, U.K.
| | - Gábor Csányi
- Engineering
Laboratory, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, U.K.
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2
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Öeren M, Hunt PA, Wharrick CE, Tabatabaei Ghomi H, Segall MD. Predicting routes of phase I and II metabolism based on quantum mechanics and machine learning. Xenobiotica 2023:1-49. [PMID: 37966132 DOI: 10.1080/00498254.2023.2284251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 11/13/2023] [Indexed: 11/16/2023]
Abstract
1. Unexpected metabolism could lead to the failure of many late-stage drug candidates or even the withdrawal of approved drugs. Thus, it is critical to predict and study the dominant routes of metabolism in the early stages of research. In this study, we describe the development and validation of a 'WhichEnzyme' model that accurately predicts the enzyme families most likely to be responsible for a drug-like molecule's metabolism. Furthermore, we combine this model with our previously published regioselectivity models for Cytochromes P450, Aldehyde Oxidases, Flavin-containing Monooxygenases, UDP-glucuronosyltransferases and Sulfotransferases - the most important Phase I and Phase II drug metabolising enzymes - and a 'WhichP450' model that predicts the Cytochrome P450 isoform(s) responsible for a compound's metabolism. The regioselectivity models are based on a mechanistic understanding of these enzymes' actions, and use quantum mechanical simulations with machine learning methods to accurately predict sites of metabolism and the resulting metabolites. We train heuristic based on the outputs of the 'WhichEnzyme', 'WhichP450', and regioselectivity models to determine the most likely routes of metabolism and metabolites to be observed experimentally. Finally, we demonstrate that this combination delivers high sensitivity in identifying experimentally reported metabolites and higher precision than other methods for predicting in vivo metabolite profiles.
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Affiliation(s)
- Mario Öeren
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge CB25 9GL, UK
| | - Peter A Hunt
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge CB25 9GL, UK
| | - Charlotte E Wharrick
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge CB25 9GL, UK
| | | | - Matthew D Segall
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge CB25 9GL, UK
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3
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Abstract
Cytosolic sulfotransferases (SULTs) are a family of enzymes responsible for the sulfation of small endogenous and exogenous compounds. SULTs contribute to the conjugation phase of metabolism and share substrates with the uridine 5'-diphospho-glucuronosyltransferase (UGT) family of enzymes. UGTs are considered to be the most important enzymes in the conjugation phase, and SULTs are an auxiliary enzyme system to them. Understanding how the regioselectivity of SULTs differs from that of UGTs is essential from the perspective of developing novel drug candidates. We present a general ligand-based SULT model trained and tested using high-quality experimental regioselectivity data. The current study suggests that, unlike other metabolic enzymes in the modification and conjugation phases, the SULT regioselectivity is not strongly influenced by the activation energy of the rate-limiting step of the catalysis. Instead, the prominent role is played by the substrate binding site of SULT. Thus, the model is trained only on steric and orientation descriptors, which mimic the binding pocket of SULT. The resulting classification model, which predicts whether a site is metabolized, achieved a Cohen's kappa of 0.71.
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Affiliation(s)
- Mario Öeren
- Cambridge Innovation Park, Optibrium Limited, Denny End Road, Cambridge CB25 9GL, U.K
| | - Sylvia C Kaempf
- Cambridge Innovation Park, Optibrium Limited, Denny End Road, Cambridge CB25 9GL, U.K
- School of Chemistry, North Haugh, University of St Andrews, St Andrews KY16 9ST, U.K
| | - David J Ponting
- Lhasa Limited, Granary Wharf House, 2 Canal Wharf, Leeds LS11 5PS, U.K
| | - Peter A Hunt
- Cambridge Innovation Park, Optibrium Limited, Denny End Road, Cambridge CB25 9GL, U.K
| | - Matthew D Segall
- Cambridge Innovation Park, Optibrium Limited, Denny End Road, Cambridge CB25 9GL, U.K
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Öeren M, Walton PJ, Suri J, Ponting DJ, Hunt PA, Segall MD. Predicting Regioselectivity of AO, CYP, FMO, and UGT Metabolism Using Quantum Mechanical Simulations and Machine Learning. J Med Chem 2022; 65:14066-14081. [PMID: 36239985 DOI: 10.1021/acs.jmedchem.2c01303] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Unexpected metabolism in modification and conjugation phases can lead to the failure of many late-stage drug candidates or even withdrawal of approved drugs. Thus, it is critical to predict the sites of metabolism (SoM) for enzymes, which interact with drug-like molecules, in the early stages of the research. This study presents methods for predicting the isoform-specific metabolism for human AOs, FMOs, and UGTs and general CYP metabolism for preclinical species. The models use semi-empirical quantum mechanical simulations, validated using experimentally obtained data and DFT calculations, to estimate the reactivity of each SoM in the context of the whole molecule. Ligand-based models, trained and tested using high-quality regioselectivity data, combine the reactivity of the potential SoM with the orientation and steric effects of the binding pockets of the different enzyme isoforms. The resulting models achieve κ values of up to 0.94 and AUC of up to 0.92.
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Affiliation(s)
- Mario Öeren
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge CB25 9GL, U.K
| | - Peter J Walton
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge CB25 9GL, U.K.,School of Chemistry, University of Nottingham, University Park, Nottingham NG7 2RD, U.K
| | - James Suri
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge CB25 9GL, U.K.,School of Chemistry, University of St Andrews, North Haugh, St Andrews KY16 9ST, U.K
| | - David J Ponting
- Lhasa Limited, Granary Wharf House, 2 Canal Wharf, Leeds LS11 5PS, U.K
| | - Peter A Hunt
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge CB25 9GL, U.K
| | - Matthew D Segall
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge CB25 9GL, U.K
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Tse EG, Aithani L, Anderson M, Cardoso-Silva J, Cincilla G, Conduit GJ, Galushka M, Guan D, Hallyburton I, Irwin BWJ, Kirk K, Lehane AM, Lindblom JCR, Lui R, Matthews S, McCulloch J, Motion A, Ng HL, Öeren M, Robertson MN, Spadavecchio V, Tatsis VA, van Hoorn WP, Wade AD, Whitehead TM, Willis P, Todd MH. An Open Drug Discovery Competition: Experimental Validation of Predictive Models in a Series of Novel Antimalarials. J Med Chem 2021; 64:16450-16463. [PMID: 34748707 DOI: 10.1021/acs.jmedchem.1c00313] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
The Open Source Malaria (OSM) consortium is developing compounds that kill the human malaria parasite, Plasmodium falciparum, by targeting PfATP4, an essential ion pump on the parasite surface. The structure of PfATP4 has not been determined. Here, we describe a public competition created to develop a predictive model for the identification of PfATP4 inhibitors, thereby reducing project costs associated with the synthesis of inactive compounds. Competition participants could see all entries as they were submitted. In the final round, featuring private sector entrants specializing in machine learning methods, the best-performing models were used to predict novel inhibitors, of which several were synthesized and evaluated against the parasite. Half possessed biological activity, with one featuring a motif that the human chemists familiar with this series would have dismissed as "ill-advised". Since all data and participant interactions remain in the public domain, this research project "lives" and may be improved by others.
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Affiliation(s)
- Edwin G Tse
- School of Pharmacy, University College London, London WC1N 1AX, U.K
| | - Laksh Aithani
- Exscientia Ltd., The Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K
| | - Mark Anderson
- Drug Discovery Unit, Division of Biological Chemistry and Drug Discovery, School of Life Sciences, University of Dundee, Dundee DD1 5EH, U.K
| | - Jonathan Cardoso-Silva
- Department of Informatics, Faculty of Natural and Mathematical Sciences, King's College London, London WC2B 4BG, U.K
| | | | - Gareth J Conduit
- Intellegens Ltd., Eagle Labs, Chesterton Road, Cambridge CB4 3AZ, U.K.,Theory of Condensed Matter Group, Cavendish Laboratories, University of Cambridge, Cambridge CB3 0HE, U.K
| | | | - Davy Guan
- School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Irene Hallyburton
- Drug Discovery Unit, Division of Biological Chemistry and Drug Discovery, School of Life Sciences, University of Dundee, Dundee DD1 5EH, U.K
| | - Benedict W J Irwin
- Theory of Condensed Matter Group, Cavendish Laboratories, University of Cambridge, Cambridge CB3 0HE, U.K.,Optibrium Ltd. Blenheim House, Denny End Road, Cambridge CB25 9QE, U.K
| | - Kiaran Kirk
- Research School of Biology, Australian National University, Canberra, ACT 2601, Australia
| | - Adele M Lehane
- Research School of Biology, Australian National University, Canberra, ACT 2601, Australia
| | - Julia C R Lindblom
- Research School of Biology, Australian National University, Canberra, ACT 2601, Australia
| | - Raymond Lui
- School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Slade Matthews
- School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - James McCulloch
- Kellerberrin, 6 Wharf Rd, Balmain, Sydney, NSW 2041, Australia
| | - Alice Motion
- School of Chemistry, The University of Sydney, Sydney, NSW 2006, Australia
| | - Ho Leung Ng
- Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan Kansas 66506, United States
| | - Mario Öeren
- Optibrium Ltd. Blenheim House, Denny End Road, Cambridge CB25 9QE, U.K
| | - Murray N Robertson
- Strathclyde Institute Of Pharmacy And Biomedical Sciences, University of Strathclyde, Glasgow G4 ORE, U.K
| | | | - Vasileios A Tatsis
- Exscientia Ltd., The Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K
| | - Willem P van Hoorn
- Exscientia Ltd., The Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K
| | - Alexander D Wade
- Theory of Condensed Matter Group, Cavendish Laboratories, University of Cambridge, Cambridge CB3 0HE, U.K
| | | | - Paul Willis
- Medicines for Malaria Venture, PO Box 1826, 20 rte de Pre-Bois, 1215 Geneva 15, Switzerland
| | - Matthew H Todd
- School of Pharmacy, University College London, London WC1N 1AX, U.K
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Ustrnul L, Burankova T, Öeren M, Juhhimenko K, Ilmarinen J, Siilak K, Mishra KA, Aav R. Binding Between Cyclohexanohemicucurbit[ n]urils and Polar Organic Guests. Front Chem 2021; 9:701028. [PMID: 34262895 PMCID: PMC8273652 DOI: 10.3389/fchem.2021.701028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 06/07/2021] [Indexed: 11/13/2022] Open
Abstract
Inherently chiral, barrel-shaped, macrocyclic hosts such as cyclohexanohemicucurbit[n]urils (cycHC[n]) bind zinc porphyrins and trifluoroacetic acid externally in halogenated solvents. In the current study, we tested a set of eighteen organic guests with various functional groups and polarity, namely, thiophenols, phenols, and carboxylic and sulfonic acids, to identify a preference toward hydrogen bond–donating molecules for homologous cycHC[6] and cycHC[8]. Guests were characterized by Hirshfeld partial charges on acidic hydrogens and their binding by 1H and 19F NMR titrations. Evaluation of association constants revealed the complexity of the system and indirectly proved an external binding with stoichiometry over 2:1 for both homologs. It was found that overall binding strength is influenced by the stoichiometry of the formed complexes, the partial atomic charge on the hydrogen atom of the hydrogen bond donor, and the bulkiness of the guest. Additionally, a study on the formation of complexes with halogen anions (Cl− and Br−) in methanol and chloroform, analyzed by 1H NMR, did not confirm complexation. The current study widens the scope of potential applications for host molecules by demonstrating the formation of hydrogen-bonded complexes with multisite hydrogen bond acceptors such as cycHC[6] and cycHC[8].
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Affiliation(s)
- Lukas Ustrnul
- Department of Chemistry and Biotechnology, School of Science, Tallinn University of Technology, Tallinn, Estonia
| | | | - Mario Öeren
- Optibrium Limited, Cambridge, United Kingdom
| | - Kristina Juhhimenko
- Department of Chemistry and Biotechnology, School of Science, Tallinn University of Technology, Tallinn, Estonia
| | - Jenni Ilmarinen
- Department of Chemistry and Biotechnology, School of Science, Tallinn University of Technology, Tallinn, Estonia
| | - Kristjan Siilak
- Department of Chemistry and Biotechnology, School of Science, Tallinn University of Technology, Tallinn, Estonia
| | - Kamini A Mishra
- Department of Chemistry and Biotechnology, School of Science, Tallinn University of Technology, Tallinn, Estonia
| | - Riina Aav
- Department of Chemistry and Biotechnology, School of Science, Tallinn University of Technology, Tallinn, Estonia
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7
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Abstract
NMR spectroscopy and DFT modeling studies of chiral cyclohexanohemicucurbit[12]uril indicate that the macrocycle adopts a concave octagonal shape with two distinct conformational flexibilities in solution. Methylene bridge flipping occurs at temperatures above 265 K, while urea monomers rotate at temperatures above 308 K, resulting in the loss of confined space within the macrocycle.
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Affiliation(s)
- Kamini A Mishra
- Department of Chemistry and Biotechnology, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia.
| | - Jasper Adamson
- Chemical Physics Laboratory, National Institute of Chemical Physics and Biophysics, Akadeemia tee 23, 12618 Tallinn, Estonia
| | - Mario Öeren
- Optibrium Limited, F5-6 Blenheim House, Denny End Road, Cambridge, CB25 9PB, UK
| | - Sandra Kaabel
- Department of Chemistry and Biotechnology, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia. and Department of Chemistry, McGill University, 801 Sherbrooke Street West, H3A 0B8, Montreal, Quebec, Canada
| | - Maria Fomitšenko
- Department of Chemistry and Biotechnology, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia.
| | - Riina Aav
- Department of Chemistry and Biotechnology, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia.
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8
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Öeren M, Walton PJ, Hunt PA, Ponting DJ, Segall MD. Predicting reactivity to drug metabolism: beyond P450s-modelling FMOs and UGTs. J Comput Aided Mol Des 2020; 35:541-555. [PMID: 32533369 DOI: 10.1007/s10822-020-00321-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 06/07/2020] [Indexed: 11/28/2022]
Abstract
We present a study based on density functional theory calculations to explore the rate limiting steps of product formation for oxidation by Flavin-containing Monooxygenase (FMO) and glucuronidation by the UDP-glucuronosyltransferase (UGT) family of enzymes. FMOs are responsible for the modification phase of metabolism of a wide diversity of drugs, working in conjunction with Cytochrome P450 (CYP) family of enzymes, and UGTs are the most important class of drug conjugation enzymes. Reactivity calculations are important for prediction of metabolism by CYPs and reactivity alone explains around 70-85% of the experimentally observed sites of metabolism within CYP substrates. In the current work we extend this approach to propose model systems which can be used to calculate the activation energies, i.e. reactivity, for the rate-limiting steps for both FMO oxidation and glucuronidation of potential sites of metabolism. These results are validated by comparison with the experimentally observed reaction rates and sites of metabolism, indicating that the presented models are suitable to provide the basis of a reactivity component within generalizable models to predict either FMO or UGT metabolism.
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Affiliation(s)
- Mario Öeren
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge, CB25 9PB, UK.
| | - Peter J Walton
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge, CB25 9PB, UK.,School of Chemistry, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Peter A Hunt
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge, CB25 9PB, UK
| | - David J Ponting
- Lhasa Limited, Granary Wharf House, 2 Canal Wharf, Leeds, LS11 5PS, UK
| | - Matthew D Segall
- Optibrium Limited, Cambridge Innovation Park, Denny End Road, Cambridge, CB25 9PB, UK
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Kaabel S, Adamson J, Topić F, Kiesilä A, Kalenius E, Öeren M, Reimund M, Prigorchenko E, Lõokene A, Reich HJ, Rissanen K, Aav R. Chiral hemicucurbit[8]uril as an anion receptor: selectivity to size, shape and charge distribution. Chem Sci 2017; 8:2184-2190. [PMID: 28694954 PMCID: PMC5477839 DOI: 10.1039/c6sc05058a] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Accepted: 11/29/2016] [Indexed: 01/31/2023] Open
Abstract
A novel eight-membered macrocycle of the hemicucurbit[n]uril family, chiral (all-R)-cyclohexanohemicucurbit[8]uril (cycHC[8]) ‡The name cyclohexylhemicucurbituril, previously used for these macrocycles, is changed in accordance with the IUPAC nomenclature for fused cycles, as the cyclohexane substituents are fused with the parent hemicucurbituril. binds anions in a purely protic solvent with remarkable selectivity. The cycHC[8] portals open and close to fully encapsulate anions in a 1 : 1 ratio, resembling a molecular Pac-Man™. Comprehensive gas, solution and solid phase studies prove that the binding is governed by the size, shape and charge distribution of the bound anion. Gas phase studies show an order of SbF6- ≈ PF6- > ReO4- > ClO4- > SCN- > BF4- > HSO4- > CF3SO3- for anion complexation strength. An extensive crystallographic study reveals the preferred orientations of the anions within the octahedral cavity of cycHC[8] and highlights the importance of the size- and shape-matching between the anion and the receptor cavity. The solution studies show the strongest binding of the ideally fitting SbF6- anion, with an association constant of 2.5 × 105 M-1 in pure methanol. The symmetric, receptor cavity-matching charge distribution of the anions results in drastically stronger binding than in the case of anions with asymmetric charge distribution. Isothermal titration calorimetry (ITC) reveals the complexation to be exothermic and enthalpy-driven. The DFT calculations and VT-NMR studies confirmed that the complexation proceeds through a pre-complex formation while the exchange of methanol solvent with the anion is the rate-limiting step. The octameric cycHC[8] offers a unique example of template-controlled design of an electroneutral host for binding large anions in a competitive polar solvent.
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Affiliation(s)
- Sandra Kaabel
- Department of Chemistry , Tallinn University of Technology , Akadeemia tee 15 , 12618 Tallinn , Estonia .
- University of Jyvaskyla , Department of Chemistry , Nanoscience Center , P.O. Box. 35 , FI-40014 Jyvaskyla , Finland .
| | - Jasper Adamson
- National Institute of Chemical Physics and Biophysics , Akadeemia tee 23 , 12618 Tallinn , Estonia
| | - Filip Topić
- University of Jyvaskyla , Department of Chemistry , Nanoscience Center , P.O. Box. 35 , FI-40014 Jyvaskyla , Finland .
| | - Anniina Kiesilä
- University of Jyvaskyla , Department of Chemistry , Nanoscience Center , P.O. Box. 35 , FI-40014 Jyvaskyla , Finland .
| | - Elina Kalenius
- University of Jyvaskyla , Department of Chemistry , Nanoscience Center , P.O. Box. 35 , FI-40014 Jyvaskyla , Finland .
| | - Mario Öeren
- Department of Chemistry , Tallinn University of Technology , Akadeemia tee 15 , 12618 Tallinn , Estonia .
| | - Mart Reimund
- Department of Chemistry , Tallinn University of Technology , Akadeemia tee 15 , 12618 Tallinn , Estonia .
| | - Elena Prigorchenko
- Department of Chemistry , Tallinn University of Technology , Akadeemia tee 15 , 12618 Tallinn , Estonia .
| | - Aivar Lõokene
- Department of Chemistry , Tallinn University of Technology , Akadeemia tee 15 , 12618 Tallinn , Estonia .
| | - Hans J Reich
- Department of Chemistry , University of Wisconsin , Madison , WI 53706 , USA
| | - Kari Rissanen
- University of Jyvaskyla , Department of Chemistry , Nanoscience Center , P.O. Box. 35 , FI-40014 Jyvaskyla , Finland .
| | - Riina Aav
- Department of Chemistry , Tallinn University of Technology , Akadeemia tee 15 , 12618 Tallinn , Estonia .
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Prigorchenko E, Öeren M, Kaabel S, Fomitšenko M, Reile I, Järving I, Tamm T, Topić F, Rissanen K, Aav R. Template-controlled synthesis of chiral cyclohexylhemicucurbit[8]uril. Chem Commun (Camb) 2015; 51:10921-4. [PMID: 26060852 DOI: 10.1039/c5cc04101e] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Enantiomerically pure cyclohexylhemicucurbit[8]uril (cycHC[8]), possessing a barrel-shaped cavity, has been prepared in high yield on a gram scale from either (R,R,N,N')-cyclohex-1,2-diylurea and formaldehyde or cycHC[6]. In either case, a dynamic covalent library is first generated from which the desired cycHC can be amplified using a suitable anion template.
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Affiliation(s)
- E Prigorchenko
- Department of Chemistry, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia.
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11
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Öeren M, Shmatova E, Tamm T, Aav R. Computational and ion mobility MS study of (all-S)-cyclohexylhemicucurbit[6]uril structure and complexes. Phys Chem Chem Phys 2015; 16:19198-205. [PMID: 25046516 DOI: 10.1039/c4cp02202e] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
A computational study of (all-S)-cyclohexylhemicucurbit[6]uril and its complexes with anions (Cl(-), Br(-), I(-) and HCOO(-)), the proton (H(+)) and non-dissociated acid (HCl, HBr, HI and HCOOH) guests was performed. The geometries of guest-host complexes were optimized via density functional theory using the BP86 functional, SV(P) basis set and Stuttgart pseudopotentials for iodide. Binding affinities and their trends were evaluated at the BP86/TZVPD level of theory. In addition, the quantum theory of atoms in molecules was used to gain insight into guest-host interactions. A computational study in the gas phase and ion-mobility mass-spectrometry analysis revealed that the studied macrocycle formed inclusion complexes with anions. Protonation of the macrocycle is preferred at the nitrogen atom pointing inside of the cavity. In the studied conditions, non-dissociated acids formed complexes at the oxygen atom pointing outside of the macrocycle.
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Affiliation(s)
- Mario Öeren
- Department of Chemistry, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia.
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12
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Affiliation(s)
- Maria Fomitšenko
- Department of Chemistry, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia
| | - Elena Shmatova
- Department of Chemistry, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia
| | - Mario Öeren
- Department of Chemistry, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia
| | - Ivar Järving
- Department of Chemistry, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia
| | - Riina Aav
- Department of Chemistry, Tallinn University of Technology, Akadeemia tee 15, 12618 Tallinn, Estonia
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13
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Ošeka M, Noole A, Žari S, Öeren M, Järving I, Lopp M, Kanger T. Asymmetric Diastereoselective Synthesis of Spirocyclopropane Derivatives of Oxindole. European J Org Chem 2014. [DOI: 10.1002/ejoc.201402061] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Noole A, Ošeka M, Pehk T, Öeren M, Järving I, Elsegood MRJ, Malkov AV, Lopp M, Kanger T. 3-Chlorooxindoles: Versatile Starting Materials for Asymmetric Organocatalytic Synthesis of Spirooxindoles. Adv Synth Catal 2013. [DOI: 10.1002/adsc.201300019] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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