Design, synthesis, biological evaluation, and in silico characterization of chalcone derivatives as antidiabetic hits

dc.creatorAli, Arif
dc.creatorDias, Frederico de Bastos Oliveira
dc.creatorBorges, Gabriela Ramos
dc.creatorHussain, Zubair
dc.creatorZada, Amir
dc.creatorSandes, Gustavo Felizardo Santos
dc.creatorFrizon, Tiago Elias Allievi
dc.creatorOzdemir, Fethi Ahmet
dc.creatorÇetin, Ahmet
dc.creatorNaeem, Mohammad
dc.creatorQueiroz Júnior, Luiz Henrique Keng
dc.creatorNeves, Bruno Júnior
dc.creatorKhan, Jamal Rafique
dc.creatorSaba, Sumbal
dc.date.accessioned2026-09-18T10:55:32Z
dc.date.available2026-09-18T10:55:32Z
dc.date.issued2026
dc.description.abstractA series of 40 chalcone derivatives was synthesized through Claisen–Schmidt condensation and characterized by FT-IR and NMR spectroscopy. The compounds were evaluated for α-amylase inhibitory and DPPH radical-scavenging activities to identify chalcone-based hits with a dual in vitro profile relevant to postprandial glycemic control. The series displayed a broad range of activities, with α-amylase IC50, values spanning 10.41 ± 1.23–1021.64 ± 2.75 µM and radical-scavenging IC50 , values ranging from 31.34 ± 0.20 to 698.34 ± 14.56 µM. Among the evaluated compounds, 4, 17, 19, 31, 33, and 35 emerged as the most active α-amylase inhibitors, with compound 4 being the most potent member of the series (IC50 = 10.41 ± 1.23 µM), outperforming acarbose (IC50 = 73.12 ± 5.04 µM). Structure–activity relationship analysis indicated that hydroxy- and methoxy-substituted aryl motifs were generally favorable, whereas some heteroaryl replacements and heavily halogenated patterns were less well tolerated. To rationalize the experimental profile, an ensemble docking workflow coupled to Naive Bayes rescoring was applied to human pancreatic α-amylase. The predicted binding modes supported productive occupation of the catalytic groove and suggested a key interaction between compound 4 and Glu233, consistent with its superior inhibitory potency. In silico ADMET profiling of the leading compounds indicated acceptable lipophilicity, solubility, intestinal absorption, and low predicted cardiotoxicity, with compound 4 showing the most balanced overall profile. In summary, these findings identify this chalcone series as a promising starting point for hit-to-lead optimization toward multifunctional radical scavenging and α-amylase inhibitors.
dc.identifier.citationALI, Arif et al. Design, synthesis, biological evaluation, and in silico characterization of chalcone derivatives as antidiabetic hits. Scientific Reports, London, v. 16, n. 1, e 25109, 2026. DOI: 10.1038/s41598-026-55706-3. Disponível em: https://www.nature.com/articles/s41598-026-55706-3. Acesso em: 16 set. 2026.
dc.identifier.doi10.1038/s41598-026-55706-3
dc.identifier.issne- 2045-2322
dc.identifier.urihttps://repositorio.bc.ufg.br//handle/ri/31627
dc.language.isoeng
dc.publisher.countryGra-bretanha
dc.publisher.departmentInstituto de Química - IQ (RMG)
dc.publisher.programPrograma de Pós-graduação em Química
dc.rightsAcesso Aberto
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ODS3 - Saúde e bem-estar
dc.subject.ODS9 - Industria, inovação e infraestrutura
dc.titleDesign, synthesis, biological evaluation, and in silico characterization of chalcone derivatives as antidiabetic hits
dc.typeArtigo

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