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Retrosynthesis is a strategy to analyze the synthetic routes for target molecules in medicinal chemistry. However, traditional retrosynthesis predictions performed by chemists and rule-based expert systems struggle to adapt to the vast chemical space of real-world scenarios. Artificial intelligence (AI) has revolutionized retrosynthesis prediction in recent decades, significantly increasing the accuracy and diversity of predictions for target compounds.

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Discoidin domain receptors (DDR) are categorized under tyrosine kinase receptors (RTKs) and play a crucial role in various etiological conditions such as cancer, fibrosis, atherosclerosis, osteoarthritis, and inflammatory diseases. The structural domain rearrangement of DDR1 and DDR2 involved six domains of interest namely N-terminal DS, DS-like, intracellular juxtamembrane, transmembrane juxtamembrane, extracellular juxtamembrane intracellular kinase domain, and the tail portion contains small C-tail linkage. DDR has not been explored to a wide extent to be declared as a prime target for any particular pathological condition.

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Growth hormone-releasing hormone signaling and manifestations within the cardiovascular system.

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Interdisciplinary Stem Cell Institute, University of Miami Miller School of Medicine, Biomedical Research Building, 1501 N.W. 10th Avenue, Room 908, Miami, FL, 33136, USA.

Growth hormone (GH)-releasing hormone (GHRH), a hypothalamic peptide initially characterized for its role in GH regulation, has gained increasing attention due to its GH-independent action on peripheral physiology, including that of the cardiovascular system. While its effects on the peripheral vasculature are still under investigation, GHRH and synthetic agonists have exhibited remarkable receptor-mediated cardioprotective properties in preclinical models. GHRH and its analogs enhance myocardial function by improving contractility, reducing oxidative stress, inflammation, and offsetting pathological remodeling.

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Publisher Correction: Mechanisms underlying the interactions and adaptability of nitrogen removal microorganisms in freshwater sediments.

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Marine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Environmental Science and Engineering/Life Sciences/Ecology, Guangdong Provincial Observation and Research Station for Marine Ranching in Lingdingyang Bay, China-ASEAN Belt and Road Joint Laboratory On Mariculture Technology, State Key Laboratory for Biocontrol, Sun Yat-Sen University, Zhuhai, 519082, China.

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Bio-nanopore technology for biomolecules detection.

Adv Biotechnol (Singap)

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School of Food Science and Technology, State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, Jiangsu, China.

Bio-nanopore technology holds great promise in biomacromolecule detection, with its high throughput and low cost positioning it as an ideal detection tool. This technology employs a unique detection mechanism that utilizes nanoscale pores to rapidly and sensitively convert biological molecules interactions into electrical signals, enabling real-time, single-molecule detection with exceptional sensitivity. This review focuses on the latest advancements in this technology across various domains, including DNA and RNA sequencing, protein detection, and small molecule identification.

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