2018
DOI: 10.1021/acs.jcim.7b00721
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Searching for New Leads To Treat Epilepsy: Target-Based Virtual Screening for the Discovery of Anticonvulsant Agents

Abstract: The purpose of this investigation is to contribute to the development of new anticonvulsant drugs to treat patients with refractory epilepsy. We applied a virtual screening protocol that involved the search into molecular databases of new compounds and known drugs to find small molecules that interact with the open conformation of the Nav1.2 pore. As the 3D structure of human Nav1.2 is not available, we first assembled 3D models of the target, in closed and open conformations. After the virtual screening, the … Show more

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Cited by 15 publications
(17 citation statements)
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“…Initially, the molecules were docked into the Nav1.2 channel with Autodock Vina software 26 . As the 3D structure of human Nav1.2 is not available, we employed a 3D model of this macromolecule previously constructed in our laboratory 24 . It includes the 3D architecture of the α-subunit of the Nav1.2 channel, which is functional on its own and comprises the region of interactions with ACD.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…Initially, the molecules were docked into the Nav1.2 channel with Autodock Vina software 26 . As the 3D structure of human Nav1.2 is not available, we employed a 3D model of this macromolecule previously constructed in our laboratory 24 . It includes the 3D architecture of the α-subunit of the Nav1.2 channel, which is functional on its own and comprises the region of interactions with ACD.…”
Section: Resultsmentioning
confidence: 99%
“…A docking score of −8.1 kcal/mol was defined as the threshold value to differentiate active from inactive compounds. This cut-off value was previously selected for the screening of a virtual database, since it shows a good balance between specificity and sensibility for the test set that validated the docking model (80% and 88%, respectively) 24 . Table 2 shows the docking scores of the synthesized compounds.…”
Section: Resultsmentioning
confidence: 99%
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“…Using the docking score as discriminating variable, we analyzed the capacity of different docking protocols to classify them correctly; that is, the non-binders should have higher docking score than binders. We quantified this information through the area under the receiver operating characteristic (ROC) curves (Palestro et al, 2018). This metric also allowed us to decide the threshold score that can be used to discern between the classes.…”
Section: Computational Studiesmentioning
confidence: 99%