1. Minimization of drug-drug interaction risk and candidate selection in a natural product-based class of gamma-secretase modulators
- Author
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Jianguo Ma, Nathan O. Fuller, Bronk Brian Scott, Jian Li, Wesley F. Austin, Ruichao Shen, Timothy D. McKee, Jo Ann Dumin, Jed L. Hubbs, Zhen Gong, Robyn M. B. Loureiro, Barbara Tate, and J. L. Ives
- Subjects
Gene isoform ,Models, Molecular ,Amyloid beta ,Clinical Biochemistry ,Drug-drug interaction ,Molecular Conformation ,Pharmaceutical Science ,Pharmacology ,Biochemistry ,Rats, Sprague-Dawley ,chemistry.chemical_compound ,Structure-Activity Relationship ,Drug Discovery ,Animals ,Cytochrome P-450 CYP3A ,Humans ,Molecular Biology ,Gamma secretase ,Selection (genetic algorithm) ,Biological Products ,Natural product ,CYP3A4 ,biology ,Dose-Response Relationship, Drug ,Organic Chemistry ,Semisynthesis ,Rats ,chemistry ,biology.protein ,Molecular Medicine ,Azetidines ,Steroids - Abstract
Early lead compounds in this gamma secretase modulator series were found to potently inhibit CYP3A4 and other human CYP isoforms increasing their risk of causing drug–drug-interactions (DDIs). Using structure–activity relationships and CYP3A4 structural information, analogs were developed that minimized this DDI potential. Three of these new analogs were further characterized by rat PK, rat PK/PD and rat exploratory toxicity studies resulting in selection of SPI-1865 (14) as a preclinical development candidate.
- Published
- 2014