Paradigm Shift: The Promise of Deep Learning in Molecular Systems Engineering and Design

The application of deep learning to a diverse array of research problems has accelerated progress across many fields, bringing conventional paradigms to a new intelligent era. Just as the roles of instrumentation in the old chemical revolutions, we reinforce the necessity for integrating deep learning in molecular systems engineering and design as a transformative catalyst towards the next chemical revolution. To meet such research needs, we summarize advances and progress across several key elements of molecular systems: molecular representation, property estimation, representation learning, and synthesis planning. We further spotlight recent advances and promising directions for several deep learning architectures, methods, and optimization platforms. Our perspective is of interest to both computational and experimental researchers as it aims to chart a path forward for cross-disciplinary collaborations on synthesizing knowledge from available chemical data and guiding experimental efforts.

Kaempferol protects against streptozotocin-induced diabetic cardiomyopathy in rats by a hypoglycemic effect and upregulating SIRT1

This study investigated if kaempferol could attenuate the oxidative, inflammatory, and fibrotic damage of the left ventricles (LVs) in streptozotocin (STZ)-diabetic rats by modulating silent mating type information regulation 2 homolog 1 (SIRT1) signaling. Adult male rats were divided into 5 groups (n = 12/each) as control, control + kaempferol, STZ-induced diabetes mellitus (STZ-DM), STZ-DM + kaempferol, and STZ-DM + kaempferol + EX-527, a sirtuin 1 (SIRT1) inhibitor. Administration of kaempferol to diabetic rats significantly preserved the systolic and diastolic functions of the LVs that was associated with a significant reduction in ventricular collagen deposition, infiltration of inflammatory cells, and protein expression of Bcl2-associated X protein (Bax), cleaved caspase-3, and cytochrome-C. In both the control and diabetic rats, kaempferol attenuated the loss in body weights, reduced fasting glucose levels, and increased fasting insulin levels and HOMA-β. Besides, kaempferol lowered the levels of reactive oxygen species (ROS), malondialdehyde (MDA), tumor necrosis factor-α (TNF-α), and interleukin-6 (IL-6), downregulated the transforming growth factor-β1 (TGF-β1) and reduced the nuclear levels of NF-κB p65. In concomitant, kaempferol increased the LV levels of manganese superoxide dismutase (MnSOD) and glutathione (GSH) and stimulated the total protein levels of Bcl2, the nuclear activity of SIRT1, and nuclear levels of nuclear factor erythroid 2-related factor 2 (Nrf2). These events were associated with increased deacetylase activity and total levels of SIRT1 and a parallel decrease in the acetylation of Nrf2, NF-κB, smad2, and FOXO1. In conclusion: kaempferol attenuate diabetic cardiomyopathy in STZ-treated rats through its hypoglycaemic and insulin-releasing effects, as well as a cardiac independent mechanism that involves activation of SIRT1.