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Can I read Application of Computational Methods to the Design of Fatty Acid Amide Hydrolase (FAAH) Inhibitors Based on a Carbamic Template Structure on EtoBox?

Application of Computational Methods to the Design of Fatty Acid Amide Hydrolase (FAAH) Inhibitors Based on a Carbamic Template Structure by Alessio Lodola; Silvia Rivara; Marco Mor is a nonfiction available to read on EtoBox.

What is Application of Computational Methods to the Design of Fatty Acid Amide Hydrolase (FAAH) Inhibitors Based on a Carbamic Template Structure about?

Computer-aided approaches are widely used in modern medicinal chemistry to improve the efficiency of the discovery phase. Fatty acid amide hydrolase (FAAH) is a key component of the endocannabinoid system and a potential drug target for several therapeutic applications. During the past decade, different chemical classes of inhibitors, with different mechanisms of action, had been developed. Among them, alkyl carbamic acid biphenyl-3-yl esters represent a prototypical class of active site-directed inhibitors, which allowed detailed pharmacological characterization of FAAH inhibition. Both ligand- and structure-based drug design approaches have been applied to rationalize structure-activity relationships and to drive the optimization of the inhibitory potency for this class of compounds. In this chapter, we review our contribution to the discovery and optimization of therapeutically promising FAAH inhibitors, based on a carbamic template structure, which block FAAH in an irreversible manner exerting analgesic, anti-inflammatory and anxiolytic effects in animal models. The peculiar catalytic mechanism of FAAH, and the covalent interaction with carbamate-based inhibitors, prompted the

Who reads Application of Computational Methods to the Design of Fatty Acid Amide Hydrolase (FAAH) Inhibitors Based on a Carbamic Template Structure?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Alessio Lodola; Silvia Rivara; Marco Mor
Publisher
Elsevier Academic Press
Published
2011
Language
EN
ISBN
9781283281492
Category
nonfiction
Subjects
Science, Chemistry, Biochemistry

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