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PSW-Designer: An Open-Source Computational Platform for the Design and Virtual Screening of Photopharmacological Ligands
[Image: see text] Photoswitchable (PSW) molecules offer an attractive opportunity for the optical control of biological processes. However, the successful design of such compounds remains a challenging multioptimization endeavor, resulting in several biological target classes still relatively poorly...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647043/ https://www.ncbi.nlm.nih.gov/pubmed/37831965 http://dx.doi.org/10.1021/acs.jcim.3c01050 |
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author | Simon, Icaro A. Homan, Evert J. Wijtmans, Maikel Sundström, Michael Leurs, Rob De Esch, Iwan J. P. Zarzycka, Barbara A. |
author_facet | Simon, Icaro A. Homan, Evert J. Wijtmans, Maikel Sundström, Michael Leurs, Rob De Esch, Iwan J. P. Zarzycka, Barbara A. |
author_sort | Simon, Icaro A. |
collection | PubMed |
description | [Image: see text] Photoswitchable (PSW) molecules offer an attractive opportunity for the optical control of biological processes. However, the successful design of such compounds remains a challenging multioptimization endeavor, resulting in several biological target classes still relatively poorly explored by photoswitchable ligands, as is the case for G protein-coupled receptors (GPCRs). Here, we present the PSW-Designer, a fully open-source computational platform, implemented in the KNIME Analytics Platform, to design and virtually screen novel photoswitchable ligands for photopharmacological applications based on privileged scaffolds. We demonstrate the applicability of the PSW-Designer to GPCRs and assess its predictive capabilities via two retrospective case studies. Furthermore, by leveraging bioactivity information on known ligands, typical and atypical strategies for photoswitchable group incorporation, and the increasingly structural information available for biological targets, the PSW-Design will facilitate the design of novel photoswitchable molecules with improved photopharmacological properties and increased binding affinity shifts upon illumination for GPCRs and many other protein targets. |
format | Online Article Text |
id | pubmed-10647043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-106470432023-11-15 PSW-Designer: An Open-Source Computational Platform for the Design and Virtual Screening of Photopharmacological Ligands Simon, Icaro A. Homan, Evert J. Wijtmans, Maikel Sundström, Michael Leurs, Rob De Esch, Iwan J. P. Zarzycka, Barbara A. J Chem Inf Model [Image: see text] Photoswitchable (PSW) molecules offer an attractive opportunity for the optical control of biological processes. However, the successful design of such compounds remains a challenging multioptimization endeavor, resulting in several biological target classes still relatively poorly explored by photoswitchable ligands, as is the case for G protein-coupled receptors (GPCRs). Here, we present the PSW-Designer, a fully open-source computational platform, implemented in the KNIME Analytics Platform, to design and virtually screen novel photoswitchable ligands for photopharmacological applications based on privileged scaffolds. We demonstrate the applicability of the PSW-Designer to GPCRs and assess its predictive capabilities via two retrospective case studies. Furthermore, by leveraging bioactivity information on known ligands, typical and atypical strategies for photoswitchable group incorporation, and the increasingly structural information available for biological targets, the PSW-Design will facilitate the design of novel photoswitchable molecules with improved photopharmacological properties and increased binding affinity shifts upon illumination for GPCRs and many other protein targets. American Chemical Society 2023-10-13 /pmc/articles/PMC10647043/ /pubmed/37831965 http://dx.doi.org/10.1021/acs.jcim.3c01050 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Simon, Icaro A. Homan, Evert J. Wijtmans, Maikel Sundström, Michael Leurs, Rob De Esch, Iwan J. P. Zarzycka, Barbara A. PSW-Designer: An Open-Source Computational Platform for the Design and Virtual Screening of Photopharmacological Ligands |
title | PSW-Designer: An
Open-Source Computational Platform
for the Design and Virtual Screening of Photopharmacological Ligands |
title_full | PSW-Designer: An
Open-Source Computational Platform
for the Design and Virtual Screening of Photopharmacological Ligands |
title_fullStr | PSW-Designer: An
Open-Source Computational Platform
for the Design and Virtual Screening of Photopharmacological Ligands |
title_full_unstemmed | PSW-Designer: An
Open-Source Computational Platform
for the Design and Virtual Screening of Photopharmacological Ligands |
title_short | PSW-Designer: An
Open-Source Computational Platform
for the Design and Virtual Screening of Photopharmacological Ligands |
title_sort | psw-designer: an
open-source computational platform
for the design and virtual screening of photopharmacological ligands |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647043/ https://www.ncbi.nlm.nih.gov/pubmed/37831965 http://dx.doi.org/10.1021/acs.jcim.3c01050 |
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