In Silico Repositioning of Dopamine Modulators with Possible Application to Schizophrenia: Pharmacophore Mapping, Molecular Docking and Molecular Dynamics Analysis. Mejia-Gutierrez, M., Vásquez-Paz, B. D., Fierro, L., & Maza, J. R. ACS Omega, 6(23):14748–14764, June, 2021. Publisher: American Chemical Society![In Silico Repositioning of Dopamine Modulators with Possible Application to Schizophrenia: Pharmacophore Mapping, Molecular Docking and Molecular Dynamics Analysis [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex We have performed theoretical calculations with 70 drugs that have been considered in 231 clinical trials as possible candidates to repurpose drugs for schizophrenia based on their interactions with the dopaminergic system. A hypothesis of shared pharmacophore features was formulated to support our calculations. To do so, we have used the crystal structure of the D2-like dopamine receptor in complex with risperidone, eticlopride, and nemonapride. Linagliptin, citalopram, flunarizine, sildenafil, minocycline, and duloxetine were the drugs that best fit with our model. Molecular docking calculations, molecular dynamics outcomes, blood-brain barrier penetration, and human intestinal absorption were studied and compared with the results. From the six drugs selected in the shared pharmacophore features input, flunarizine showed the best docking score with D2, D3, and D4 dopamine receptors and had high stability during molecular dynamics simulations. Flunarizine is a frequently used medication to treat migraines and vertigo. However, its antipsychotic properties have been previously hypothesized, particularly because of its possible ability to block the D2 dopamine receptors.
@article{mejia-gutierrez_silico_2021,
title = {In {Silico} {Repositioning} of {Dopamine} {Modulators} with {Possible} {Application} to {Schizophrenia}: {Pharmacophore} {Mapping}, {Molecular} {Docking} and {Molecular} {Dynamics} {Analysis}},
volume = {6},
shorttitle = {In {Silico} {Repositioning} of {Dopamine} {Modulators} with {Possible} {Application} to {Schizophrenia}},
url = {https://doi.org/10.1021/acsomega.0c05984},
doi = {10.1021/acsomega.0c05984},
abstract = {We have performed theoretical calculations with 70 drugs that have been considered in 231 clinical trials as possible candidates to repurpose drugs for schizophrenia based on their interactions with the dopaminergic system. A hypothesis of shared pharmacophore features was formulated to support our calculations. To do so, we have used the crystal structure of the D2-like dopamine receptor in complex with risperidone, eticlopride, and nemonapride. Linagliptin, citalopram, flunarizine, sildenafil, minocycline, and duloxetine were the drugs that best fit with our model. Molecular docking calculations, molecular dynamics outcomes, blood-brain barrier penetration, and human intestinal absorption were studied and compared with the results. From the six drugs selected in the shared pharmacophore features input, flunarizine showed the best docking score with D2, D3, and D4 dopamine receptors and had high stability during molecular dynamics simulations. Flunarizine is a frequently used medication to treat migraines and vertigo. However, its antipsychotic properties have been previously hypothesized, particularly because of its possible ability to block the D2 dopamine receptors.},
number = {23},
urldate = {2022-05-25},
journal = {ACS Omega},
author = {Mejia-Gutierrez, Melissa and Vásquez-Paz, Bryan D. and Fierro, Leonardo and Maza, Julio R.},
month = jun,
year = {2021},
note = {Publisher: American Chemical Society},
pages = {14748--14764},
}
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