Literature DB >> 28182408

Design, Synthesis, Structure-Activity Relationship Studies, and Three-Dimensional Quantitative Structure-Activity Relationship (3D-QSAR) Modeling of a Series of O-Biphenyl Carbamates as Dual Modulators of Dopamine D3 Receptor and Fatty Acid Amide Hydrolase.

Alessio De Simone, Debora Russo, Gian Filippo Ruda, Alessandra Micoli, Mariarosaria Ferraro, Rita Maria Concetta Di Martino, Giuliana Ottonello, Maria Summa, Andrea Armirotti, Tiziano Bandiera, Andrea Cavalli1, Giovanni Bottegoni2.   

Abstract

We recently reported molecules designed according to the multitarget-directed ligand paradigm to exert combined activity at human fatty acid amide hydrolase (FAAH) and dopamine receptor subtype D3 (D3R). Both targets are relevant for tackling several types of addiction (most notably nicotine addiction) and other compulsive behaviors. Here, we report an SAR exploration of a series of biphenyl-N-[4-[4-(2,3-substituted-phenyl)piperazine-1-yl]alkyl]carbamates, a novel class of molecules that had shown promising activities at the FAAH-D3R target combination in preliminary studies. We have rationalized the structural features conducive to activities at the main targets and investigated activities at two off-targets: dopamine receptor subtype D2 and endocannabinoid receptor CB1. To understand the unexpected affinity for the CB1 receptor, we devised a 3D-QSAR model, which we then prospectively validated. Compound 33 was selected for PK studies because it displayed balanced affinities for the main targets and clear selectivity over the two off-targets. 33 has good stability and oral bioavailability and can cross the blood-brain barrier.

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Year:  2017        PMID: 28182408     DOI: 10.1021/acs.jmedchem.6b01578

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  5 in total

1.  Fullerene Derivatives as Lung Cancer Cell Inhibitors: Investigation of Potential Descriptors Using QSAR Approaches.

Authors:  Hung-Jin Huang; Olga A Kraevaya; Ilya I Voronov; Pavel A Troshin; Shan-Hui Hsu
Journal:  Int J Nanomedicine       Date:  2020-04-14

2.  Design and Potency of Dual Soluble Epoxide Hydrolase/Fatty Acid Amide Hydrolase Inhibitors.

Authors:  Sean D Kodani; Debin Wan; Karen M Wagner; Sung Hee Hwang; Christophe Morisseau; Bruce D Hammock
Journal:  ACS Omega       Date:  2018-10-25

3.  A computationally designed binding mode flip leads to a novel class of potent tri-vector cyclophilin inhibitors.

Authors:  Alessio De Simone; Charis Georgiou; Harris Ioannidis; Arun A Gupta; Jordi Juárez-Jiménez; Dahlia Doughty-Shenton; Elizabeth A Blackburn; Martin A Wear; Jonathan P Richards; Paul N Barlow; Neil Carragher; Malcolm D Walkinshaw; Alison N Hulme; Julien Michel
Journal:  Chem Sci       Date:  2018-10-23       Impact factor: 9.825

4.  Simplified, interpretable graph convolutional neural networks for small molecule activity prediction.

Authors:  Jeffrey K Weber; Joseph A Morrone; Sugato Bagchi; Jan D Estrada Pabon; Seung-Gu Kang; Leili Zhang; Wendy D Cornell
Journal:  J Comput Aided Mol Des       Date:  2021-11-24       Impact factor: 4.179

5.  Synthesis and In Vitro Evaluation of Novel Dopamine Receptor D2 3,4-dihydroquinolin-2(1H)-one Derivatives Related to Aripiprazole.

Authors:  Radomir Juza; Kristyna Stefkova; Wim Dehaen; Alena Randakova; Tomas Petrasek; Iveta Vojtechova; Tereza Kobrlova; Lenka Pulkrabkova; Lubica Muckova; Marko Mecava; Lukas Prchal; Eva Mezeiova; Kamil Musilek; Ondrej Soukup; Jan Korabecny
Journal:  Biomolecules       Date:  2021-08-24
  5 in total

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