PSW-Designer: An Open-Source Computational Platform for the Design and Virtual Screening of Photopharmacological Ligands
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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.
In: Journal of Chemical Information and Modeling, Vol. 63, No. 21, 2023, p. 6696-6705.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - PSW-Designer
T2 - An Open-Source Computational Platform for the Design and Virtual Screening of Photopharmacological Ligands
AU - Simon, Icaro A
AU - Homan, Evert J
AU - Wijtmans, Maikel
AU - Sundström, Michael
AU - Leurs, Rob
AU - De Esch, Iwan J P
AU - Zarzycka, Barbara A
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Retrospective Studies
KW - Receptors, G-Protein-Coupled/chemistry
KW - Ligands
U2 - 10.1021/acs.jcim.3c01050
DO - 10.1021/acs.jcim.3c01050
M3 - Journal article
C2 - 37831965
VL - 63
SP - 6696
EP - 6705
JO - Journal of Chemical Information and Modeling
JF - Journal of Chemical Information and Modeling
SN - 1549-9596
IS - 21
ER -
ID: 390511197