<?xml version="1.0" encoding="UTF-8"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-10-19T00:37:43Z</responseDate><request verb="GetRecord" identifier="oai:ebyu-rdlopen.rawdatalibrary.net:ebyu/10699" metadataPrefix="oai_dc">https://ebyu-rdlopen.rawdatalibrary.net/oai/request</request><GetRecord><record><header><identifier>oai:ebyu-rdlopen.rawdatalibrary.net:ebyu/10699</identifier><datestamp>2026-10-18T21:13:12Z</datestamp><setSpec>openaire</setSpec><setSpec>driver</setSpec><setSpec>com_ebyu_10000</setSpec><setSpec>col_ebyu_10001</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Fluorenyl-phthalimide hybrids as potent aldose reductase inhibitors with selective anticancer activity: Rational design, synthesis, and molecular insights</dc:title><dc:creator>Gundogdu, Saliha</dc:creator><dc:creator>Duran, Hatice Esra</dc:creator><dc:creator>Arslan, Mustafa</dc:creator><dc:creator>Çetinkaya, Büşra Demir</dc:creator><dc:creator>Türkeş, Cüneyt</dc:creator><dc:subject>Aldose reductase inhibitors</dc:subject><dc:subject>Fluorenyl-phthalimide hybrids</dc:subject><dc:subject>Machine learning</dc:subject><dc:subject>Precision oncology</dc:subject><dc:subject>Rational drug design</dc:subject><dc:subject>Selective cytotoxicity</dc:subject><dc:subject>Targeted therapy</dc:subject><dc:subject>Aldehyde Reductase</dc:subject><dc:subject>Antineoplastic Agents</dc:subject><dc:subject>Cell Proliferation</dc:subject><dc:subject>Dose-Response Relationship, Drug</dc:subject><dc:subject>Drug Design</dc:subject><dc:subject>Drug Screening Assays, Antitumor</dc:subject><dc:subject>Enzyme Inhibitors</dc:subject><dc:subject>Humans</dc:subject><dc:subject>Molecular Docking Simulation</dc:subject><dc:subject>Molecular Structure</dc:subject><dc:subject>Phthalimides</dc:subject><dc:subject>Structure-Activity Relationship</dc:subject><dc:subject>2 [(9h fluoren 2 yl)carbamoyl] 3,4,5,6 tetrabromobenzoic acid</dc:subject><dc:subject>2 [(9h fluoren 2 yl)carbamoyl] 3,4,5,6 tetrachlorobenzoic acid</dc:subject><dc:subject>2 [(9h fluoren 2 yl)carbamoyl] 5 fluorobenzoic acid</dc:subject><dc:subject>2 [(9h fluoren 2 yl)carbamoyl] 6 fluorobenzoic acid</dc:subject><dc:subject>2 [(9h fluoren 2 yl)carbamoyl] 6 nitrobenzoic acid</dc:subject><dc:subject>2 [(9h fluoren 2 yl)carbamoyl]benzoic acid</dc:subject><dc:subject>2 [(9h fluoren 2 yl)carbamoyl]c 5 methylcyclohexane 1 carboxylic acid</dc:subject><dc:subject>2 [(9h fluoren 2 yl)carbamoyl]cyclohexane 1 carboxylic acid</dc:subject><dc:subject>4 [(9h fluoren 2 yl)amino] 3 methyl 4 oxobutanoic acid</dc:subject><dc:subject>4 [(9h fluoren 2 yl)amino] 4 oxobut 2 enoic acid</dc:subject><dc:subject>4 [(9h fluoren 2 yl)amino] 4 oxobutanoic acid</dc:subject><dc:description>Metabolic reprogramming in cancer cells creates actionable vulnerabilities for precision oncology. Aldose reductase (ALR2, AKR1B1; EC 1.1.1.21), a cytosolic NADPH-dependent oxidoreductase, has emerged as a multifunctional player in tumor progression, drug resistance, and oxidative stress modulation, yet remains underexploited as a cancer target. In this study, we report the rational design, synthesis, and biological evaluation of a focused series of fluorenyl-phthalimide carboxylic-acid hybrids (5a-5l) as dual-acting agents with selective anticancer potential and potent ALR2 inhibition. Among them, compound 5a exhibited the strongest ALR2 inhibition with a KI of 8.71 ± 0.81 nM, far surpassing the clinical comparator epalrestat (KI = 232.10 ± 14.42 nM). In MCF-7 and A549 carcinoma cells, 5a demonstrated moderate antiproliferative activity (IC50 = 52.04 μM and 192.91 μM, respectively) while sparing normal bronchial epithelial cells, indicating tumor selectivity. Molecular docking and MM-GBSA calculations (ΔGbind = −44.02 kcal/mol) revealed a consistent bidentate hydrogen bonding network supporting high-affinity binding involving Tyr48, His110, and Trp111, further stabilized by crystallographic water molecules. To explore structure-activity relationships, a Random Forest regression model was developed using 24 descriptors derived from QikProp. The model achieved strong predictive performance (Q2CV = 0.71), and SHAP analysis identified water/gas partition coefficient, skin permeability, and human oral absorption as the most influential features shaping inhibitory potency. In silico ADME/Tox profiling supported the drug-like nature of compound 5a, with no major CYP or hERG liabilities predicted. Collectively, these findings position 5a as a first-in-class ALR2-targeted anticancer lead, introducing a chemically novel and mechanistically validated chemotype for further development within the framework of metabolically targeted precision therapies. © 2025 Elsevier Inc.</dc:description><dc:publisher>Academic Press Inc.</dc:publisher><dc:date>2025</dc:date><dc:type>Article</dc:type><dc:identifier>https://rdlopen.rawdatalibrary.net/r/ebyu/10699</dc:identifier><dc:identifier>https://doi.org/10.1016/j.bioorg.2025.108689</dc:identifier><dc:identifier>0045-2068</dc:identifier><dc:language>en</dc:language><dc:relation>Bioorganic Chemistry</dc:relation><dc:rights>info:eu-repo/semantics/openAccess</dc:rights><dc:type>info:eu-repo/semantics/article</dc:type><dc:identifier>https://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/10699</dc:identifier></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>