<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kobauri P</submitter><funding>H2020 Marie Sklodowska-Curie Actions</funding><funding>Alexander von Humboldt-Stiftung</funding><funding>Center for Information Technology, University of Groningen</funding><funding>Dutch Research Council (NWO)</funding><pagination>4798-4817</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8958501</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>65(6)</volume><pubmed_abstract>Photopharmacology uses light to regulate the biological activity of drugs. This precise control is obtained through the incorporation of molecular photoswitches into bioactive molecules. A major challenge for photopharmacology is the rational design of photoswitchable drugs that show light-induced activation. Computer-aided drug design is an attractive approach toward more effective, targeted design. Herein, we critically evaluated different structure-based approaches for photopharmacology with &lt;i>Escherichia coli&lt;/i> dihydrofolate reductase (eDHFR) as a case study. Through the iterative examination of our hypotheses, we progressively tuned the design of azobenzene-based, photoswitchable eDHFR inhibitors in five design-make-switch-test-analyze cycles. Targeting a hydrophobic subpocket of t</pubmed_abstract><journal>Journal of medicinal chemistry</journal><pubmed_title>Hypothesis-Driven, Structure-Based Design in Photopharmacology: The Case of eDHFR Inhibitors.</pubmed_title><pmcid>PMC8958501</pmcid><funding_grant_id>713482</funding_grant_id><funding_grant_id>723.014.001</funding_grant_id><pubmed_authors>Kobauri P</pubmed_authors><pubmed_authors>Maglia G</pubmed_authors><pubmed_authors>Kolarski D</pubmed_authors><pubmed_authors>Szymanski W</pubmed_authors><pubmed_authors>Schulte AM</pubmed_authors><pubmed_authors>Thallmair S</pubmed_authors><pubmed_authors>de Vries J</pubmed_authors><pubmed_authors>Galenkamp NS</pubmed_authors><pubmed_authors>Feringa BL</pubmed_authors><pubmed_authors>Simeth NA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Hypothesis-Driven, Structure-Based Design in Photopharmacology: The Case of eDHFR Inhibitors.</name><description>Photopharmacology uses light to regulate the biological activity of drugs. This precise control is obtained through the incorporation of molecular photoswitches into bioactive molecules. A major challenge for photopharmacology is the rational design of photoswitchable drugs that show light-induced activation. Computer-aided drug design is an attractive approach toward more effective, targeted design. Herein, we critically evaluated different structure-based approaches for photopharmacology with &lt;i>Escherichia coli&lt;/i> dihydrofolate reductase (eDHFR) as a case study. Through the iterative examination of our hypotheses, we progressively tuned the design of azobenzene-based, photoswitchable eDHFR inhibitors in five design-make-switch-test-analyze cycles. Targeting a hydrophobic subpocket of t</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Mar</publication><modification>2026-05-31T03:14:22.909Z</modification><creation>2024-11-05T18:22:17.415Z</creation></dates><accession>S-EPMC8958501</accession><cross_references><pubmed>35258959</pubmed><doi>10.1021/acs.jmedchem.1c01962</doi></cross_references></HashMap>