RESUMEN
High fat diets have been used as complementary treatments for seizure disorders for more than a century. Moreover, many fatty acids and derivatives, including the broad-spectrum antiseizure medication valproic acid, have been explored and used as pharmacological agents to treat epilepsy. In this work, we have explored the anticonvulsant potential of a large library of fatty acids and fatty acid derivatives, the LIPID MAPS Structure Database, using structure-based virtual screening to assess their ability to block the voltage-gated sodium channel 1.2 (NaV1.2), a validated target for antiseizure medications. Four of the resulting in silico hits were submitted for experimental confirmation using in vitro patch clamp experiments, and their protective role was evaluated in an acute mice seizure model, the Maximal Electroshock seizure model. These four compounds were found to protect mice against seizures. Two of them exhibited blocking effects on NaV1.2, CaV2.2, and CaV3.1.
RESUMEN
BACKGROUND: During the past decades, an important number of anticonvulsant drugs have been incorporated into the collection of drugs to treat epilepsy. However, two main difficulties remain unsolved in therapy: the development of drug-resistant epilepsy and the occurrence of severe toxic effects caused by the medication in responsive patients. The retrospective analysis of the strategies for discovering known anticonvulsant drugs showed that screening campaigns on animal models of epilepsy have been almost the exclusive strategy for identifying the marketed compounds. However, the actual structural and functional information about the molecular targets of the anticonvulsant drugs and the increasing knowledge of the molecular alterations that generate epileptic seizures allow a more rational identification of active compounds. OBJECTIVE: This review compiles target-based strategies used for the discovery of new anticonvulsant candidates and is divided in two main topics. The first one provides an overview of the computational approaches (docking-based virtual screening and molecular dynamics) to find anticonvulsant structures that interact with the voltage-gated ion channels and the enzyme carbonic anhydrase. The second one includes the analysis of active compounds synthesized to act simultaneously on different molecular targets by the combination of pharmacophores of anticonvulsant drugs. CONCLUSION: Current knowledge of the architectures of anticonvulsant targets makes computational simulations attractive methods for the discovery and optimization of active compounds. Combining the results achieved by virtual screening of different targets could lead to multitarget compounds, as an alternative to the design of structures that merge scaffolds of known drugs.