| Title |
Challenges in the development of an M4 PAM preclinical candidate: The discovery, SAR, and in vivo characterization of a series of 3-aminoazetidine-derived amides
|
|---|---|
| Published in |
Bioorganic & Medicinal Chemistry Letters, May 2017
|
| DOI | 10.1016/j.bmcl.2017.05.014 |
| Pubmed ID | |
| Authors |
James C. Tarr, Michael R. Wood, Meredith J. Noetzel, Jeanette L. Bertron, Rebecca L. Weiner, Alice L. Rodriguez, Atin Lamsal, Frank W. Byers, Sichen Chang, Hyekyung P. Cho, Carrie K. Jones, Colleen M. Niswender, Michael W. Wood, Nicholas J. Brandon, Mark E. Duggan, P. Jeffrey Conn, Thomas M. Bridges, Craig W. Lindsley |
| Abstract |
This letter details the continued chemical optimization of a novel series of M4 positive allosteric modulators (PAMs) based on a 5-amino-thieno[2,3-c]pyridazine core by incorporating a 3-amino azetidine amide moiety. The analogs described within this work represent the most potent M4 PAMs reported for this series to date. The SAR to address potency, clearance, subtype selectivity, CNS exposure, and P-gp efflux are described. This work culminated in the discovery of VU6000918, which demonstrated robust efficacy in a rat amphetamine-induced hyperlocomotion reversal model at a minimum efficacious dose of 0.3mg/kg. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 24% |
| Other | 2 | 10% |
| Professor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Lecturer | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Neuroscience | 3 | 14% |
| Chemistry | 3 | 14% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 33% |