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Publication
Featured researches published by Nicolas Levoin.
Organic Letters | 2012
Maiwenn Jacolot; Mickaël Jean; Nicolas Levoin; Pierre van de Weghe
We report a TMSI-promoted Prins cyclization reaction with ketones as carbonyl partners to prepare polysubstituted chiral spirotetrahydropyrans. In the presence of racemic 2-methylcyclohexanone a dynamic kinetic resolution occurred affording one stereoisomer. The observed enantiospecificity has been rationalized by DFT calculation.
Archiv Der Pharmazie | 2008
Nicolas Levoin; Thierry Calmels; Olivia Poupardin-Olivier; Olivier Labeeuw; Denis Danvy; Philippe Robert; Isabelle Berrebi-Bertrand; C. Robin Ganellin; Walter Schunack; Holger Stark; Marc Capet
Drug‐discovery projects frequently employ structure‐based information through protein modeling and ligand docking, and there is a plethora of reports relating successful use of them in virtual screening. Hit / lead optimization, which represents the next step and the longest for the medicinal chemist, is very rarely considered. This is not surprising because lead optimization is a much more complex task. Here, a homology model of the histamine H3 receptor was built and tested for its ability to discriminate ligands above a defined threshold of affinity. In addition, drug safety is also evaluated during lead optimization, and “antitargets” are studied. So, we have used the same benchmarking procedure with the HERG channel and CYP2D6 enzyme, for which a minimal affinity is strongly desired. For targets and antitargets, we report here an accuracy as high as at least 70%, for ligands being classified above or below the chosen threshold. Such a good result is beyond what could have been predicted, especially, since our test conditions were particularly stringent. First, we measured the accuracy by means of AUC of ROC plots, i. e. considering both false positive and false negatives. Second, we used as datasets extensive chemical libraries (nearly a thousand ligands for H3). All molecules considered were true H3 receptor ligands with moderate to high affinity (from μM to nM range). Third, the database is issued from concrete SAR (Bioprojet H3 BF2.649 library) and is not simply constituted by few active ligands buried in a chemical catalogue.
Bioorganic & Medicinal Chemistry Letters | 2011
Nicolas Levoin; Olivier Labeeuw; Thierry Calmels; Olivia Poupardin-Olivier; Isabelle Berrebi-Bertrand; Jeanne-Marie Lecomte; Jean-Charles Schwartz; Marc Capet
Pre-clinical investigation of some aryl-piperidinyl ether histamine H3 receptor antagonists revealed a strong hERG binding. To overcome this issue, we have developed a QSAR model specially dedicated to H3 receptor ligands. This model was designed to be directly applicable in medicinal chemistry with no need of molecular modeling. The resulting recursive partitioning trees are robust (80-85% accuracy), but also simple and comprehensible. A novel promising lead emerged from our work and the structure-activity relationships are presented.
ACS Medicinal Chemistry Letters | 2011
Nicolas Levoin; Thierry Calmels; Stéphane Krief; Denis Danvy; Isabelle Berrebi-Bertrand; Jeanne-Marie Lecomte; Jean-Charles Schwartz; Marc Capet
Structure-based design methods commonly used in medicinal chemistry rely on a three-dimensional representation of the receptor. However, few crystal structures are solved in comparison with the huge number of pharmaceutical targets. This often renders homology models the only information available. It is particularly true for G protein-coupled receptors (GPCRs), one of the most important targets for approved medicines and current drug discovery projects. However, very few studies have tested their validity in comparison with corresponding crystal structures, especially in a lead optimization perspective. The recent solving of dopamine D3 receptor crystal structure allowed us to assess our historical homology model. We performed a statistical analysis, by docking our in-house lead optimization library of 1500 molecules. We demonstrate here that the refined homology model suits at least as well as the X-ray structure. It is concluded that when the crystal structure of a given GPCR is not available, homology modeling can be an excellent surrogate to support drug discovery efforts.
Bioorganic & Medicinal Chemistry Letters | 2011
Olivier Labeeuw; Nicolas Levoin; Olivia Poupardin-Olivier; Thierry Calmels; Xavier Ligneau; Isabelle Berrebi-Bertrand; Philippe Robert; Jeanne-Marie Lecomte; Jean-Charles Schwartz; Marc Capet
Synthesis and biological evaluation of novel and potent cyclohexylamine-based histamine H3 receptor inverse agonists are described. Compounds in this newly identified series exhibited subnanomolar binding affinities for human receptor and no significant interaction with hERG channel. One derivative (10t) demonstrated enhanced in vivo efficiency and preferential brain distribution, both properties suitable for potential clinical evaluation.
Bioorganic & Medicinal Chemistry Letters | 2016
Marc Capet; Thierry Calmels; Nicolas Levoin; Denis Danvy; Isabelle Berrebi-Bertrand; Holger Stark; Jean-Charles Schwartz; Jeanne-Marie Lecomte
The seminal human dopamine D3 receptor (hD3R) ligand BP 897 has shown interesting properties during clinical trials. However, its lack of selectivity towards human adrenergic receptor impedes further development. Two approaches were followed to increase hD3R selectivity. The lead optimisation succeeded, we disclose here ligands with subnanomolar potency for D3R, combined with a good selectivity for the closely related human dopamine D2 and human adrenergic alpha-1 receptors.
Bioorganic & Medicinal Chemistry Letters | 2010
Mickaël Jean; Jacques Renault; Nicolas Levoin; Denis Danvy; Thierry Calmels; Isabelle Berrebi-Bertrand; Philippe Robert; Jean Schwartz; Jeanne-Marie Lecomte; Philippe Uriac; Marc Capet
Isosteric replacement of the amide function and modulation of the arylpiperazine moiety of known dopamine D3 receptor ligands led to potent and selective compounds. Enhanced bioavailability and preferential brain distribution make compound 6c a good candidate for pharmacological and clinical evaluation.
Bioorganic & Medicinal Chemistry Letters | 2013
Olivier Labeeuw; Nicolas Levoin; Olivia Poupardin-Olivier; Thierry Calmels; Xavier Ligneau; Isabelle Berrebi-Bertrand; Philippe Robert; Jeanne-Marie Lecomte; Jean-Charles Schwartz; Marc Capet
Synthesis and biological evaluation of potent histamine H3 receptor antagonists incorporating a hydroxyl function are described. Compounds in this series exhibited nanomolar binding affinities for human receptor, illustrating a new possible component for the H3 pharmacophore. As demonstrated with compound BP1.4160 (cyclohexanol 19), the introduction of an alcohol function counter-intuitively allowed to reach high in vivo efficiency and favorable pharmacokinetic profile with reduced half-life.
Journal of Enzyme Inhibition and Medicinal Chemistry | 2008
Mickaël Jean; Jacques Renault; Jean-Claude Camelin; Nicolas Levoin; Denis Danvy; Holger Stark; Marc Capet; Philippe Uriac
A solid phase parallel synthesis using SynPhase™ technology was used to couple a series of 21 carboxylic with three different 4-(4-arylpiperazinyl)butanamines. The resulting library was evaluated as dopamine D3 receptor ligands giving rise to several compounds with affinities in the low nanomolar concentration range (9e and 9n with binding affinities at D3 receptors of 0.10 and 0.35 nM respectively).
Bioorganic & Medicinal Chemistry Letters | 2014
Duc Duy Vo; Fabien Gautier; Sophie Barillé-Nion; Philippe Juin; Nicolas Levoin; René Grée
We describe the synthesis of a series of new molecules containing phenol and triazoles moieties, compounds which have been evaluated for their ability to inhibit Bax/Bcl-xL interactions in cancer cells, by using BRET assays, and to induce cell death. Several derivatives exhibit a very promising activity, being more potent than the reference compounds acylpyrogallol A and ABT-737. These preliminary results demonstrate that derivatives of this family can be attractive to develop new molecules with potent anticancer activity.