AIMC Topic: Strychnine

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Machine learning-based prediction of adverse drug effects: An example of seizure-inducing compounds.

Journal of pharmacological sciences Jan 28, 2017
Various biological factors have been implicated in convulsive seizures, involving side effects of drugs. For the preclinical safety assessment of drug development, it is difficult to predict seizure-inducing side effects. Here, we introduced a machin...
Animals Male In Vitro Techniques Mice Support Vector Machine Mice, Inbred ICR Seizures Diphenhydramine CA1 Region, Hippocampal Theophylline Enoxacin Strychnine
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[Machine Learning-based Prediction of Seizure-inducing Action as an Adverse Drug Effect].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan Jan 1, 2018
　During the preclinical research period of drug development, animal testing is widely used to help screen out a drug's dangerous side effects. However, it remains difficult to predict side effects within the central nervous system. Here, we introduce...
Humans Machine Learning Forecasting Animals Drug Discovery Mice Seizures Drug Evaluation, Preclinical Drug-Related Side Effects and Adverse Reactions Diphenhydramine Theophylline Enoxacin Strychnine
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