Halogen-dependent electronic regulation of reactivity and acetylcholinesterase recognition in halomethyl acetates: a predictive DFT-docking framework

dc.contributor.authorAbed, Mahmood Dahham Abed
dc.contributor.authorTahhan, Omar M. Saeed Younus
dc.contributor.authorFto, Ahmed Muhsin Mohammed Youns
dc.contributor.authorKebiroglu, Mehmet Hanifi
dc.contributor.authorBulut, Niyazi
dc.date.accessioned2026-09-08T07:13:56Z
dc.date.issued2026
dc.departmentFırat Üniveristesi
dc.description.abstractIn this work, we propose a halogen-tuning framework that links electronic reactivity descriptors to enzyme recognition for halomethyl acetates (fluoromethyl, chloromethyl, and bromomethyl acetate). Density Functional Theory calculations were performed at the B3LYP/6-311G(d, p) level to explain structure property relationships across the F/Cl/Br substitution axis. Geometry optimization shows a systematic elongation of the C5-X bond (F < Cl < Br), while the ester carbonyl remains nearly invariant, suggesting a localized substituent effect. Frontier orbital energies analysis and global descriptors reveal that bromomethyl acetate is the softest and most electronically labile derivative, exhibiting the smallest HOMO-LUMO energy gap, whereas the fluorinated analogue demonstrates the highest kinetic stability. Simulated FT-IR, H-1/C-13 NMR (GIAO), and TD-DFT UV-Vis spectra provide complementary fingerprints showing halogen-driven electronic modulation. Topological analyses (MEP, DOS, RDG/NCI/DORI) map the redistribution of electron density and weak interaction regions that rationalize the observed trends. Molecular docking against acetylcholinesterase (AChE; PDB: 1EVE) indicates a monotonic enhancement of binding affinity with increasing halogen polarizability, with bromomethyl acetate exhibiting the strongest predicted affinity. Collectively, these results establish a predictive structure reactivity recognition reasoning for halomethyl acetates and support their consideration as electrophile-tuned model systems for exploring substituent-dependent recognition tendencies.
dc.description.sponsorshipMalatya Turgut zal University -- Open access funding provided by the Scientific and Technological Research Council of Turkiye (TUB & Idot;TAK).
dc.identifier.doi10.1007/s10822-026-00828-z
dc.identifier.issn0920-654X
dc.identifier.issn1573-4951
dc.identifier.issue1
dc.identifier.orcid0000-0002-6764-3364
dc.identifier.pmid42126661
dc.identifier.scopus2-s2.0-105038800326
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1007/s10822-026-00828-z
dc.identifier.urihttps://hdl.handle.net/11508/65627
dc.identifier.volume40
dc.identifier.wosWOS:001766735100003
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofJournal of Computer-Aided Molecular Design
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250903
dc.subjectHalomethyl Acetates
dc.subjectHalogen Tuning
dc.subjectDft
dc.subjectB3Lyp
dc.subjectReactivity Descriptors
dc.subjectSpectroscopic Simulation
dc.subjectRdg/Nci/Dori
dc.subjectDensity Of States
dc.subjectMolecular Docking
dc.subjectAcetylcholinesterase
dc.titleHalogen-dependent electronic regulation of reactivity and acetylcholinesterase recognition in halomethyl acetates: a predictive DFT-docking framework
dc.typeArticle

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