Lepailleur A - Search Results

1

Dynamic microfluidic single-cell screening identifies pheno-tuning compounds to potentiate tuberculosis therapy.

Mistretta M, Cimino M, Campagne P, Volant S, Kornobis E, Hebert O, Rochais C, Dallemagne P, Lecoutey C, Tisnerat C, Lepailleur A, Ayotte Y, LaPlante SR, Gangneux N, Záhorszká M, Korduláková J, Vichier-Guerre S, Bonhomme F, Pokorny L, Albert M, Tinevez JY, Manina G. Mistretta M, et al. Among authors: lepailleur a. Nat Commun. 2024 May 16;15(1):4175. doi: 10.1038/s41467-024-48269-2. Nat Commun. 2024. PMID: 38755132 Free PMC article.

2

Synthesis and biological evaluation of thienopyrrolizines, a new family of CDK/GSK-3 inhibitors.

Rochais C, Lescot E, Lisowski V, Lepailleur A, Santos JS, Bureau R, Dallemagne P, Meijer L, Rault S. Rochais C, et al. Among authors: lepailleur a. J Enzyme Inhib Med Chem. 2004 Dec;19(6):585-93. doi: 10.1080/14756360400004565. J Enzyme Inhib Med Chem. 2004. PMID: 15662962 Free article.

3

Structure-activity relationships of serotonin 5-HT₇ receptors ligands: A review.

Thirumaran SL, Lepailleur A, Rochais C. Thirumaran SL, et al. Among authors: lepailleur a. Eur J Med Chem. 2019 Dec 1;183:111705. doi: 10.1016/j.ejmech.2019.111705. Epub 2019 Sep 16. Eur J Med Chem. 2019. PMID: 31581003 Review.

4

hERG toxicity assessment: Useful guidelines for drug design.

Garrido A, Lepailleur A, Mignani SM, Dallemagne P, Rochais C. Garrido A, et al. Among authors: lepailleur a. Eur J Med Chem. 2020 Jun 1;195:112290. doi: 10.1016/j.ejmech.2020.112290. Epub 2020 Apr 3. Eur J Med Chem. 2020. PMID: 32283295 Review.

5

Assessment of the genotoxic and carcinogenic potentials of 3-aminothiophene derivatives using in vitro and in silico methodologies.

Lepailleur A, Bureau R, Halm-Lemeille MP, Bouquet M, Pecquet R, Paris-Soubayrol C, Goff JL, André V, Lecluse Y, Lebailly P, Maire MA, Vasseur P. Lepailleur A, et al. J Appl Toxicol. 2014 Jul;34(7):775-86. doi: 10.1002/jat.2938. Epub 2013 Oct 11. J Appl Toxicol. 2014. PMID: 24127219

6

New Pharmacophore Fingerprints and Weight-matrix Learning for Virtual Screening. Application to Bcr-Abl Data.

Rehioui H, Cuissart B, Ouali A, Lepailleur A, Lamotte JL, Bureau R, Zimmermann A. Rehioui H, et al. Among authors: lepailleur a. Mol Inform. 2023 Jan;42(1):e2200210. doi: 10.1002/minf.202200210. Epub 2022 Nov 4. Mol Inform. 2023. PMID: 36221998

7

Discovering structural alerts for mutagenicity using stable emerging molecular patterns.

Métivier JP, Lepailleur A, Buzmakov A, Poezevara G, Crémilleux B, Kuznetsov SO, Le Goff J, Napoli A, Bureau R, Cuissart B. Métivier JP, et al. Among authors: lepailleur a. J Chem Inf Model. 2015 May 26;55(5):925-40. doi: 10.1021/ci500611v. Epub 2015 May 7. J Chem Inf Model. 2015. PMID: 25871768

8

The Pharmacophore Network: A Computational Method for Exploring Structure-Activity Relationships from a Large Chemical Data Set.

Métivier JP, Cuissart B, Bureau R, Lepailleur A. Métivier JP, et al. Among authors: lepailleur a. J Med Chem. 2018 Apr 26;61(8):3551-3564. doi: 10.1021/acs.jmedchem.7b01890. Epub 2018 Apr 18. J Med Chem. 2018. PMID: 29648816

9

Dual histamine H3R/serotonin 5-HT4R ligands with antiamnesic properties: pharmacophore-based virtual screening and polypharmacology.

Lepailleur A, Freret T, Lemaître S, Boulouard M, Dauphin F, Hinschberger A, Dulin F, Lesnard A, Bureau R, Rault S. Lepailleur A, et al. J Chem Inf Model. 2014 Jun 23;54(6):1773-84. doi: 10.1021/ci500157n. Epub 2014 Jun 10. J Chem Inf Model. 2014. PMID: 24857631

10

Deciphering a Pharmacophore Network: A Case Study Using BCR-ABL Data.

Geslin D, Lepailleur A, Manguin JL, Vo NV, Lamotte JL, Cuissart B, Bureau R. Geslin D, et al. Among authors: lepailleur a. J Chem Inf Model. 2022 Feb 14;62(3):678-691. doi: 10.1021/acs.jcim.1c00427. Epub 2022 Jan 26. J Chem Inf Model. 2022. PMID: 35080879

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