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Function: require_once
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Function: _error_handler
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Filename: controllers/Detail.php
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Function: _error_handler
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Function: _error_handler
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Function: insertAPISummary
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Direct modulation of cardiac myosin function has emerged as a therapeutic target for both heart disease and heart failure. However, the development of myosin-based therapeutics has been hampered by the lack of targeted in vitro screening assays. In this study we use Artificial Intelligence-based virtual high throughput screening (vHTS) to identify novel small molecule effectors of human β-cardiac myosin. We test the top scoring compounds from vHTS in biochemical counter-screens and identify a novel chemical scaffold called 'F10' as a cardiac-specific low-micromolar myosin inhibitor. Biochemical and biophysical characterization in both isolated proteins and muscle fibers show that F10 stabilizes both the biochemical (i.e. super-relaxed state) and structural (i.e. interacting heads motif) OFF state of cardiac myosin, and reduces force and left ventricular pressure development in isolated myofilaments and Langendorff-perfused hearts, respectively. F10 is a tunable scaffold for the further development of a novel class of myosin modulators.
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http://dx.doi.org/10.1038/s41467-023-43538-y | DOI Listing |
Metabolism
December 2024
Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Hunan Engineering Research Center of Artificial Intelligence Based Medical Equipment, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China. Electronic address:
Skeletal muscle is a crucial tissue for physical activity and energy metabolism. Muscle atrophy, characterized by the loss of muscle mass and strength, contributes to adverse outcomes among individuals. This study elucidated the involvement of the nuclear lamina component PRR14 in transmitting mechanical signals and mediating the impact of exercise on skeletal muscle.
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December 2024
3PBL Netherlands Environmental Assessment Agency, The Hague, The Netherlands.
Consumer resistance significantly impedes the transition from animal-derived proteins to alternative protein sources through a dual mechanism: consumer reluctance to change entrenched meat-eating habits and hesitation among policymakers, marketers, and practitioners due to anticipated resistance. The concept of resistance is intricate and viewed diversely across research disciplines. We conducted an extensive systematic literature review supplemented by an artificial intelligence-based approach.
View Article and Find Full Text PDFProtein Sci
January 2025
Department of Biochemistry and Biophysics, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
There is strong interest in accurate methods for predicting changes in protein stability resulting from amino acid mutations to the protein sequence. Recombinant proteins must often be stabilized to be used as therapeutics or reagents, and destabilizing mutations are implicated in a variety of diseases. Due to increased data availability and improved modeling techniques, recent studies have shown advancements in predicting changes in protein stability when a single-point mutation is made.
View Article and Find Full Text PDFCommun Biol
December 2024
Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Mitotic activity is an important feature for grading several cancer types. However, counting mitotic figures (cells in division) is a time-consuming and laborious task prone to inter-observer variation. Inaccurate recognition of MFs can lead to incorrect grading and hence potential suboptimal treatment.
View Article and Find Full Text PDFDigit Health
December 2024
Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam-si, Korea.
Background: Coronary angiography is fundamental for the diagnosis and treatment of coronary artery disease. Manual quantitative coronary angiography (QCA) is accurate and reproducible; however, it is time-consuming and labor-intensive. However, recent advancements in artificial intelligence (AI) have enabled automated and rapid analysis of medical images, addressing the need for real-time quantitative coronary analysis.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!