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Baybekov S, Llompart P, Marcou G, Gizzi P, Galzi JL, Ramos P, Saurel O, Bourban C, Minoletti C, Varnek A. Kinetic solubility: Experimental and machine-learning modeling perspectives. Mol Inform 2024; 43:e202300216. [PMID: 38149685 DOI: 10.1002/minf.202300216] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/25/2023] [Accepted: 12/23/2023] [Indexed: 12/28/2023]
Abstract
Kinetic aqueous or buffer solubility is important parameter measuring suitability of compounds for high throughput assays in early drug discovery while thermodynamic solubility is reserved for later stages of drug discovery and development. Kinetic solubility is also considered to have low inter-laboratory reproducibility because of its sensitivity to protocol parameters [1]. Presumably, this is why little efforts have been put to build QSPR models for kinetic in comparison to thermodynamic aqueous solubility. Here, we investigate the reproducibility and modelability of kinetic solubility assays. We first analyzed the relationship between kinetic and thermodynamic solubility data, and then examined the consistency of data from different kinetic assays. In this contribution, we report differences between kinetic and thermodynamic solubility data that are consistent with those reported by others [1, 2] and good agreement between data from different kinetic solubility campaigns in contrast to general expectations. The latter is confirmed by achieving high performing QSPR models trained on merged kinetic solubility datasets. The poor performance of QSPR model trained on thermodynamic solubility when applied to kinetic solubility dataset reinforces the conclusion that kinetic and thermodynamic solubilities do not correlate: one cannot be used as an ersatz for the other. This encourages for building predictive models for kinetic solubility. The kinetic solubility QSPR model developed in this study is freely accessible through the Predictor web service of the Laboratory of Chemoinformatics (https://chematlas.chimie.unistra.fr/cgi-bin/predictor2.cgi).
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Affiliation(s)
- Shamkhal Baybekov
- Laboratoire de Chémoinformatique UMR 7140 CNRS, Institut Le Bel, University of Strasbourg, 4 Rue Blaise Pascal, 67081, Strasbourg, France
| | - Pierre Llompart
- Laboratoire de Chémoinformatique UMR 7140 CNRS, Institut Le Bel, University of Strasbourg, 4 Rue Blaise Pascal, 67081, Strasbourg, France
- IDD/CADD, Sanofi, Vitry-Sur-Seine, France
| | - Gilles Marcou
- Laboratoire de Chémoinformatique UMR 7140 CNRS, Institut Le Bel, University of Strasbourg, 4 Rue Blaise Pascal, 67081, Strasbourg, France
| | - Patrick Gizzi
- Plateforme de Chimie Biologique Intégrative de Strasbourg UAR 3286 CNRS, University of Strasbourg, 300 Boulevard Sébastien Brant, 67412, Illkirch, France
| | - Jean-Luc Galzi
- Biotechnologie et signalisation cellulaire UMR 7242 CNRS, École supérieure de biotechnologie de Strasbourg, University of Strasbourg, 300 Boulevard Sébastien Brant, 67412, Illkirch, France
- ChemBioFrance - Chimiothèque Nationale UAR 3035, ENSCM - 240, Avenue du Prof. E. Jeanbrau, CS 60297-34296, Montpellier Cedex 5, France
| | - Pascal Ramos
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, Université Toulouse III - Paul Sabatier (UT3), Toulouse, France
| | - Olivier Saurel
- Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, Université Toulouse III - Paul Sabatier (UT3), Toulouse, France
| | - Claire Bourban
- Plateforme de Chimie Biologique Intégrative de Strasbourg UAR 3286 CNRS, University of Strasbourg, 300 Boulevard Sébastien Brant, 67412, Illkirch, France
| | | | - Alexandre Varnek
- Laboratoire de Chémoinformatique UMR 7140 CNRS, Institut Le Bel, University of Strasbourg, 4 Rue Blaise Pascal, 67081, Strasbourg, France
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Leroy C, Spelier S, Essonghe NC, Poix V, Kong R, Gizzi P, Bourban C, Amand S, Bailly C, Guilbert R, Hannebique D, Persoons P, Arhant G, Prévotat A, Reix P, Hubert D, Gérardin M, Chamaillard M, Prevarskaya N, Rebuffat S, Shapovalov G, Beekman J, Lejeune F. Use of 2,6-diaminopurine as a potent suppressor of UGA premature stop codons in cystic fibrosis. Mol Ther 2023; 31:970-985. [PMID: 36641622 PMCID: PMC10124085 DOI: 10.1016/j.ymthe.2023.01.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 12/10/2022] [Accepted: 01/12/2023] [Indexed: 01/16/2023] Open
Abstract
Nonsense mutations are responsible for around 10% of cases of genetic diseases, including cystic fibrosis. 2,6-diaminopurine (DAP) has recently been shown to promote efficient readthrough of UGA premature stop codons. In this study, we show that DAP can correct a nonsense mutation in the Cftr gene in vivo in a new CF mouse model, in utero, and through breastfeeding, thanks, notably, to adequate pharmacokinetic properties. DAP turns out to be very stable in plasma and is distributed throughout the body. The ability of DAP to correct various endogenous UGA nonsense mutations in the CFTR gene and to restore its function in mice, in organoids derived from murine or patient cells, and in cells from patients with cystic fibrosis reveals the potential of such readthrough-stimulating molecules in developing a therapeutic approach. The fact that correction by DAP of certain nonsense mutations reaches a clinically relevant level, as judged from previous studies, makes the use of this compound all the more attractive.
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Affiliation(s)
- Catherine Leroy
- University Lille, CNRS, INSERM, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, 59000 Lille, France; Unité Tumorigenèse et Résistance aux Traitements, Institut Pasteur de Lille, 59000 Lille, France
| | - Sacha Spelier
- Pediatric Respiratory Medicine, Wilhelmina Children's Hospital, University Medical Center, Utrecht University, 3584 EA Utrecht, the Netherlands; Regenerative Medicine Utrecht, University Medical Center, Utrecht University, 3584 CT Utrecht, the Netherlands; Center for Living Technologies, University Medical Center, Utrecht University, 3584 CT Utrecht, the Netherlands
| | - Nadège Charlene Essonghe
- University Lille, INSERM, U1003-PHYCEL-Physiologie Cellulaire, 59000 Lille, France; Laboratory of Excellence, Ion Channels Science and Therapeutics, 59655 Villeneuve d'Ascq, France
| | - Virginie Poix
- University Lille, CNRS, INSERM, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, 59000 Lille, France; Unité Tumorigenèse et Résistance aux Traitements, Institut Pasteur de Lille, 59000 Lille, France
| | - Rebekah Kong
- University Lille, CNRS, INSERM, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, 59000 Lille, France; Unité Tumorigenèse et Résistance aux Traitements, Institut Pasteur de Lille, 59000 Lille, France
| | - Patrick Gizzi
- Plateforme de Chimie Biologique Intégrative de Strasbourg, UAR 3286 CNRS-Université de Strasbourg, 67404 Illkirch, France
| | - Claire Bourban
- Plateforme de Chimie Biologique Intégrative de Strasbourg, UAR 3286 CNRS-Université de Strasbourg, 67404 Illkirch, France
| | - Séverine Amand
- Muséum National d'Histoire Naturelle, Centre National de la Recherche Scientifique, Laboratory of Molecules of Communication and Adaptation of Microorganisms (MCAM), UMR 7245 CNRS-MNHN, CP 54, 57 Rue Cuvier, 75005 Paris, France
| | - Christine Bailly
- Muséum National d'Histoire Naturelle, Centre National de la Recherche Scientifique, Laboratory of Molecules of Communication and Adaptation of Microorganisms (MCAM), UMR 7245 CNRS-MNHN, CP 54, 57 Rue Cuvier, 75005 Paris, France
| | - Romain Guilbert
- Institut Pasteur de Lille-PLEHTA (Plateforme d'Expérimentation et de Haute Technologie Animale), 59019 Lille, France
| | - David Hannebique
- Institut Pasteur de Lille-PLEHTA (Plateforme d'Expérimentation et de Haute Technologie Animale), 59019 Lille, France
| | - Philippe Persoons
- Institut Pasteur de Lille-PLEHTA (Plateforme d'Expérimentation et de Haute Technologie Animale), 59019 Lille, France
| | - Gwenaëlle Arhant
- University Lille, CNRS, INSERM, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, 59000 Lille, France; Unité Tumorigenèse et Résistance aux Traitements, Institut Pasteur de Lille, 59000 Lille, France
| | - Anne Prévotat
- University Lille, Clinique des Maladies Respiratoires, CRCM Hôpital Calmette, CHRU Lille, 59000 Lille, France
| | - Philippe Reix
- CRCM Pédiatrique Lyon, Hôpital Femme Mère Enfant, Hospices Civils de Lyon, UMR 5558 (EMET), CNRS, LBBE, Université de Lyon, 69622 Villeurbanne, France
| | - Dominique Hubert
- Pulmonary Department and Adult CF Centre, Cochin Hospital, AP-HP, Paris, France
| | - Michèle Gérardin
- CF Pediatric Centre, Robert Debré Hospital, AP-HP, 75019 Paris, France
| | - Mathias Chamaillard
- University Lille, INSERM, U1003-PHYCEL-Physiologie Cellulaire, 59000 Lille, France
| | - Natalia Prevarskaya
- University Lille, INSERM, U1003-PHYCEL-Physiologie Cellulaire, 59000 Lille, France; Laboratory of Excellence, Ion Channels Science and Therapeutics, 59655 Villeneuve d'Ascq, France
| | - Sylvie Rebuffat
- Muséum National d'Histoire Naturelle, Centre National de la Recherche Scientifique, Laboratory of Molecules of Communication and Adaptation of Microorganisms (MCAM), UMR 7245 CNRS-MNHN, CP 54, 57 Rue Cuvier, 75005 Paris, France
| | - George Shapovalov
- University Lille, INSERM, U1003-PHYCEL-Physiologie Cellulaire, 59000 Lille, France; Laboratory of Excellence, Ion Channels Science and Therapeutics, 59655 Villeneuve d'Ascq, France
| | - Jeffrey Beekman
- Pediatric Respiratory Medicine, Wilhelmina Children's Hospital, University Medical Center, Utrecht University, 3584 EA Utrecht, the Netherlands; Regenerative Medicine Utrecht, University Medical Center, Utrecht University, 3584 CT Utrecht, the Netherlands; Center for Living Technologies, University Medical Center, Utrecht University, 3584 CT Utrecht, the Netherlands
| | - Fabrice Lejeune
- University Lille, CNRS, INSERM, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, 59000 Lille, France; Unité Tumorigenèse et Résistance aux Traitements, Institut Pasteur de Lille, 59000 Lille, France.
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