AIMC Topic: Sodium Channel Blockers
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NaII-Pred: An ensemble-learning framework for the identification and interpretation of sodium ion inhibitors by fusing multiple feature representation.
Computers in biology and medicine
Jun 15, 2024
High-affinity ligand peptides for ion channels are essential for controlling the flow of ions across the plasma membrane. These peptides are now being investigated as possible therapeutic possibilities for a variety of illnesses, including cancer and...
Classification of antiseizure drugs in cultured neuronal networks using multielectrode arrays and unsupervised learning.
Epilepsia
May 10, 2022
OBJECTIVE: Antiseizure drugs (ASDs) modulate synaptic and ion channel function to prevent abnormal hypersynchronous or excitatory activity arising in neuronal networks, but the relationship between ASDs with respect to their impact on network activit...
Machine learning-based QSAR models to predict sodium ion channel (Na 1.5) blockers.
Future medicinal chemistry
Oct 9, 2020
Conventional experimental approaches used for the evaluation of the proarrhythmic potential of compounds in the drug discovery process are expensive and time consuming but an integral element in the safety profile required for a new drug to be appro...
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