Peter Fuller
Merck & Co.
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Featured researches published by Peter Fuller.
Journal of Medicinal Chemistry | 2017
Tony Siu; Jason Brubaker; Peter Fuller; Luis Torres; Hongbo Zeng; Joshua Close; Dawn M. Mampreian; Feng Shi; Duan Liu; Xavier Fradera; Kevin Johnson; Nathan Bays; Elma Kadic; Fang He; Peter Goldenblatt; Lynsey Shaffer; Sangita B. Patel; Charles A. Lesburg; Carla Alpert; Lauren Dorosh; Sujal V. Deshmukh; Hongshi Yu; Joel A. Klappenbach; Fiona Elwood; Christopher J. Dinsmore; Rafael Fernández; Lily Y. Moy; Jonathan R. Young
The discovery of a potent selective low dose Janus kinase 1 (JAK1) inhibitor suitable for clinical evaluation is described. As part of an overall goal to minimize dose, we pursued a medicinal chemistry strategy focused on optimization of key parameters that influence dose size, including lowering human Clint and increasing intrinsic potency, bioavailability, and solubility. To impact these multiple parameters simultaneously, we used lipophilic ligand efficiency as a key metric to track changes in the physicochemical properties of our analogs, which led to improvements in overall compound quality. In parallel, structural information guided advancements in JAK1 selectivity by informing on new vector space, which enabled the discovery of a unique key amino acid difference between JAK1 (Glu966) and JAK2 (Asp939). This difference was exploited to consistently produce analogs with the best balance of JAK1 selectivity, efficacy, and projected human dose, ultimately culminating in the discovery of compound 28.
iScience | 2018
Katie R. Martin; Stephanie L. Celano; Abigail R. Solitro; Hakan Gunaydin; Mark E. Scott; Ronan C. O'Hagan; Stuart D. Shumway; Peter Fuller; Jeffrey P. MacKeigan
Summary In response to stress, cancer cells generate nutrients and energy through a cellular recycling process called autophagy, which can promote survival and tumor progression. Accordingly, autophagy inhibition has emerged as a potential cancer treatment strategy. Inhibitors targeting ULK1, an essential and early autophagy regulator, have provided proof of concept for targeting this kinase to inhibit autophagy; however, these are limited individually in their potency, selectivity, or cellular activity. In this study, we report two small molecule ULK1 inhibitors, ULK-100 and ULK-101, and establish superior potency and selectivity over a noteworthy published inhibitor. Moreover, we show that ULK-101 suppresses autophagy induction and autophagic flux in response to different stimuli. Finally, we use ULK-101 to demonstrate that ULK1 inhibition sensitizes KRAS mutant lung cancer cells to nutrient stress. ULK-101 represents a powerful molecular tool to study the role of autophagy in cancer cells and to evaluate the therapeutic potential of autophagy inhibition.
ACS Medicinal Chemistry Letters | 2018
Hakan Gunaydin; Michael D. Altman; J. Michael Ellis; Peter Fuller; Scott A. Johnson; Brian R. Lahue; Blair T. Lapointe
Preclinical optimization of compounds toward viable drug candidates requires an integrated understanding of properties that impact predictions of the clinically efficacious dose. The importance of optimizing half-life, unbound clearance, and potency and how they impact dose predictions are discussed in this letter. Modest half-life improvements for short half-life compounds can dramatically lower the efficacious dose. The relationship between dose and half-life is nonlinear when unbound clearance is kept constant, whereas the relationship between dose and unbound clearance is linear when half-life is kept constant. Due to this difference, we show that dose is more sensitive to changes in half-life than changes in unbound clearance when half-lives are shorter than 2 h. Through matched molecular pair analyses, we also show that the strategic introduction of halogens is likely to increase half-life and lower projected human dose even though increased lipophilicity does not guarantee extended half-life.
Archive | 2014
Matthew Lloyd Childers; Christopher J. Dinsmore; Peter Fuller; David J. Guerin; Jason D. Katz; Qinglin Pu; Mark E. Scott; Christopher F. Thompson; Hongjun Zhang; Danielle Falcone; Luis Torres; Jason Brubaker; Hongbo Zeng; Jiaqiang Cai; Xiaoxing Du; Chonggang Wang; Yunfeng Bai; Norman Kong; Yumei Liu; Zhixiang Zheng
Archive | 2014
Christopher J. Dinsmore; Peter Fuller; David J. Guerin; Jason D. Katz; Christopher F. Thompson; Danielle Falcone; Wei Deng; Luis Torres; Hongbo Zeng; Yunfeng Bai; Jianmin Fu; Norman Kong; Yumei Liu; Zhixiang Zheng; Mark E. Scott
Archive | 2016
Blair T. Lapointe; Peter Fuller; Hakan Gunaydin; Kun Liu; Nunzio Sciammetta; Benjamin Wesley Trotter; Hongjun Zhang; Kenneth Jay Barr; John Maclean; Danielle F. Molinari; Vladimir Simov
Archive | 2014
Matthew Lloyd Childers; Peter Fuller; David J. Guerin; Jason D. Katz; Michelle Martinez; Qinglin Pu; Mark E. Scott; Christopher F. Thompson; Jiaqiang Cai; Norman Kong; Yumei Liu
Archive | 2014
Christopher J. Dinsmore; Peter Fuller; David J. Guerin; Christopher F. Thompson; Qinglin Pu; Mark E. Scott; Jason D. Katz; Ravi Kurukulasuriya; Joshua Close; Danielle Falcone; Jason Brubaker; Hongbo Zeng; Yunfeng Bai; Jianmin Fu; Norman Kong; Yumei Liu; Zhixiang Zheng
Archive | 2016
Mark E. Scott; David J. Guerin; Danielle Falcone; Sam Kattar; Peter Fuller; Christopher Dismore; Norman Kong; Yunfeng Bai; Jiamin Fu; Yumei Liu; Zhixiang Zheng
Archive | 2016
Blair T. Lapointe; Peter Fuller; Hakan Gunaydin; Kun Liu; Daneille F. Molinari; Qinglin Pu; Mark E. Scott; B. Wesley Trotter; Hongjun Zhang