Key result
A developed virtual screening protocol successfully discriminated PPARγ weak partial agonists from decoys with 68% accuracy and 70% specificity, suggesting naturally-derived oleanane triterpenoids may act as weak partial agonists.
Why the study?
Baseline wander corrupts the ECG signal and can affect signal features such as the ST segment, which is an important marker for diagnosing ischemia.
Population
ECG recordings from MIT-BIH database with synthetic and real baselines
Comparison
Moving average, polynomial fitting, Savitzky-Golay filtering, DWT, and proposed DWT-MAV technique
Design
Simulation and comparative denoising study
Authors
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May aid ST-segment ischemia assessment in noisy ECGs; leaves open prospective clinical validation.
A newly developed virtual screening protocol can successfully predict metabolic transformations and receptor binding modes of naturally-derived triterpenoids as PPARγ weak partial agonists.
Aqil et al. (2021) studied Metabolic syndrome. Virtual screening protocol for PPARγ weak partial agonists was evaluated on Accuracy of the virtual screening protocol. A developed virtual screening protocol successfully discriminated PPARγ weak partial agonists from decoys with 68% accuracy and 70% specificity, suggesting naturally-derived oleanane triterpenoids may act as weak partial agonists.
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