Photopharmacology of Ion Channels through the Light of the Computational Microscope

The optical control and investigation of neuronal activity can be achieved and carried out with photoswitchable ligands. Such compounds are designed in a modular fashion, combining a known ligand of the target protein and a photochromic group, as well as an additional electrophilic group for tethere...

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Autores principales: Alba Nin-Hill, Nicolas Pierre Friedrich Mueller, Carla Molteni, Carme Rovira, Mercedes Alfonso-Prieto
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/7b5bd7966e4a4393932bea7326bb5e1f
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spelling oai:doaj.org-article:7b5bd7966e4a4393932bea7326bb5e1f2021-11-11T17:28:02ZPhotopharmacology of Ion Channels through the Light of the Computational Microscope10.3390/ijms2221120721422-00671661-6596https://doaj.org/article/7b5bd7966e4a4393932bea7326bb5e1f2021-11-01T00:00:00Zhttps://www.mdpi.com/1422-0067/22/21/12072https://doaj.org/toc/1661-6596https://doaj.org/toc/1422-0067The optical control and investigation of neuronal activity can be achieved and carried out with photoswitchable ligands. Such compounds are designed in a modular fashion, combining a known ligand of the target protein and a photochromic group, as well as an additional electrophilic group for tethered ligands. Such a design strategy can be optimized by including structural data. In addition to experimental structures, computational methods (such as homology modeling, molecular docking, molecular dynamics and enhanced sampling techniques) can provide structural insights to guide photoswitch design and to understand the observed light-regulated effects. This review discusses the application of such structure-based computational methods to photoswitchable ligands targeting voltage- and ligand-gated ion channels. Structural mapping may help identify residues near the ligand binding pocket amenable for mutagenesis and covalent attachment. Modeling of the target protein in a complex with the photoswitchable ligand can shed light on the different activities of the two photoswitch isomers and the effect of site-directed mutations on photoswitch binding, as well as ion channel subtype selectivity. The examples presented here show how the integration of computational modeling with experimental data can greatly facilitate photoswitchable ligand design and optimization. Recent advances in structural biology, both experimental and computational, are expected to further strengthen this rational photopharmacology approach.Alba Nin-HillNicolas Pierre Friedrich MuellerCarla MolteniCarme RoviraMercedes Alfonso-PrietoMDPI AGarticlephotopharmacologyphotoswitchable ligandsion channelsvoltage-gated ion channelsligand-gated ion channelshomology modelingBiology (General)QH301-705.5ChemistryQD1-999ENInternational Journal of Molecular Sciences, Vol 22, Iss 12072, p 12072 (2021)
institution DOAJ
collection DOAJ
language EN
topic photopharmacology
photoswitchable ligands
ion channels
voltage-gated ion channels
ligand-gated ion channels
homology modeling
Biology (General)
QH301-705.5
Chemistry
QD1-999
spellingShingle photopharmacology
photoswitchable ligands
ion channels
voltage-gated ion channels
ligand-gated ion channels
homology modeling
Biology (General)
QH301-705.5
Chemistry
QD1-999
Alba Nin-Hill
Nicolas Pierre Friedrich Mueller
Carla Molteni
Carme Rovira
Mercedes Alfonso-Prieto
Photopharmacology of Ion Channels through the Light of the Computational Microscope
description The optical control and investigation of neuronal activity can be achieved and carried out with photoswitchable ligands. Such compounds are designed in a modular fashion, combining a known ligand of the target protein and a photochromic group, as well as an additional electrophilic group for tethered ligands. Such a design strategy can be optimized by including structural data. In addition to experimental structures, computational methods (such as homology modeling, molecular docking, molecular dynamics and enhanced sampling techniques) can provide structural insights to guide photoswitch design and to understand the observed light-regulated effects. This review discusses the application of such structure-based computational methods to photoswitchable ligands targeting voltage- and ligand-gated ion channels. Structural mapping may help identify residues near the ligand binding pocket amenable for mutagenesis and covalent attachment. Modeling of the target protein in a complex with the photoswitchable ligand can shed light on the different activities of the two photoswitch isomers and the effect of site-directed mutations on photoswitch binding, as well as ion channel subtype selectivity. The examples presented here show how the integration of computational modeling with experimental data can greatly facilitate photoswitchable ligand design and optimization. Recent advances in structural biology, both experimental and computational, are expected to further strengthen this rational photopharmacology approach.
format article
author Alba Nin-Hill
Nicolas Pierre Friedrich Mueller
Carla Molteni
Carme Rovira
Mercedes Alfonso-Prieto
author_facet Alba Nin-Hill
Nicolas Pierre Friedrich Mueller
Carla Molteni
Carme Rovira
Mercedes Alfonso-Prieto
author_sort Alba Nin-Hill
title Photopharmacology of Ion Channels through the Light of the Computational Microscope
title_short Photopharmacology of Ion Channels through the Light of the Computational Microscope
title_full Photopharmacology of Ion Channels through the Light of the Computational Microscope
title_fullStr Photopharmacology of Ion Channels through the Light of the Computational Microscope
title_full_unstemmed Photopharmacology of Ion Channels through the Light of the Computational Microscope
title_sort photopharmacology of ion channels through the light of the computational microscope
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/7b5bd7966e4a4393932bea7326bb5e1f
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AT carmerovira photopharmacologyofionchannelsthroughthelightofthecomputationalmicroscope
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