AIMC Topic: Carbazoles
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Predicting anti-trypanosome effect of carbazole-derived compounds by powerful SVM with novel kernel function and comprehensive learning PSO.
Antimicrobial agents and chemotherapy
May 29, 2024
In order to predict the anti-trypanosome effect of carbazole-derived compounds by quantitative structure-activity relationship, five models were established by the linear method, random forest, radial basis kernel function support vector machine, lin...
Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients.
Zeitschrift fur medizinische Physik
Jan 20, 2023
INTRODUCTION: Neuroinflammation evaluation after acute ischemic stroke is a promising option for selecting an appropriate post-stroke treatment strategy. To assess neuroinflammation in vivo, translocator protein PET (TSPO PET) can be used. However, t...
Neural Network Modeling of AChE Inhibition by New Carbazole-Bearing Oxazolones.
Interdisciplinary sciences, computational life sciences
Dec 13, 2017
Acetylcholine esterase (AChE) is one of the targeted enzymes in the therapy of important neurodegenerative diseases such as Alzheimer's disease. Many studies on carbazole- and oxazolone-based compounds have been conducted in the last decade due to th...
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