David J. Gagne

TL;DR: These compounds bind to the SIRT1 enzyme–peptide substrate complex at an allosteric site amino-terminal to the catalytic domain and lower the Michaelis constant for acetylated substrates and improve whole-body glucose homeostasis and insulin sensitivity in adipose tissue, skeletal muscle and liver.

TL;DR: It is demonstrated that SIRT1 activators recapitulate many of the molecular events downstream of CR in vivo, such as enhancing mitochondrial biogenesis, improving metabolic signaling pathways, and blunting pro-inflammatory pathways in mice fed a high fat, high calorie diet.

TL;DR: A series of imidazo[1,2-b]thiazole derivatives is shown to activate the NAD(+)-dependent deacetylase SIRT1, a potential new therapeutic target to treat various metabolic disorders.

TL;DR: A series of triamide derivatives bearing a benzothiazole core is shown to be potent microsomal triglyceride transfer protein (MTP) inhibitors and selected analogs within this series have been demonstrated to reduce food intake along with body weight and thereby improve glucose homeostasis and insulin sensitivity in a 28-day mice diet-induced obesity (DIO) model.

TL;DR: This paper equips the domain of atmospheric sciences with a recipe for how to build proper benchmark datasets, a (non-exclusive) list of domain specific challenges for machine learning is presented, and it is elaborated where and what benchmark datasets will be needed to tackle these challenges.