TY - JOUR
T1 - Phenolate-based bioactive compounds
T2 - Design, delivery and biomedical applications
AU - Mandal, Manas Kumar
AU - Gan, Wei
AU - Domb, Abraham J.
N1 - Publisher Copyright:
© 2024
PY - 2025/12/1
Y1 - 2025/12/1
N2 - Phenolate-based compounds benefit from salt or complex forms, boosting solubility and bioactivity. Rational design for the phenolate-based salts and complexes might provide us novel types of bioactive phenolates. pH influences these processes and self-association affects the solubility. Salts dissociation propensity of phenolic-based pharmaceuticals are influenced by solubility, pH, pKa, Ksp, and pHmax. Along with smart delivery systems responded by external-internal stimulus of these compounds like metal polyphenolic networks (MPNs) serve effective anticancer, anti-inflammatory, antimicrobial activities in biomedical applications. Metal-phenolic compounds provide theranostic bioimaging like positron emission tomography (PET), fluorescence imaging (FI) including potential applications in agriculture and food. Moreover, artificial intelligence (AI)-driven drug architecture enhancements are discussed using machine learning (ML) technique. The technique involves creating bioactive materials by reacting phenolic medications with metals and other additives, modifying properties significantly. This review emphasizes the design and characterization of phenolate salts and complexes through comparative studies, smart delivery systems highlighting, offering insights into mechanisms, benefits, and biomedical advancements.
AB - Phenolate-based compounds benefit from salt or complex forms, boosting solubility and bioactivity. Rational design for the phenolate-based salts and complexes might provide us novel types of bioactive phenolates. pH influences these processes and self-association affects the solubility. Salts dissociation propensity of phenolic-based pharmaceuticals are influenced by solubility, pH, pKa, Ksp, and pHmax. Along with smart delivery systems responded by external-internal stimulus of these compounds like metal polyphenolic networks (MPNs) serve effective anticancer, anti-inflammatory, antimicrobial activities in biomedical applications. Metal-phenolic compounds provide theranostic bioimaging like positron emission tomography (PET), fluorescence imaging (FI) including potential applications in agriculture and food. Moreover, artificial intelligence (AI)-driven drug architecture enhancements are discussed using machine learning (ML) technique. The technique involves creating bioactive materials by reacting phenolic medications with metals and other additives, modifying properties significantly. This review emphasizes the design and characterization of phenolate salts and complexes through comparative studies, smart delivery systems highlighting, offering insights into mechanisms, benefits, and biomedical advancements.
KW - AI-based drug design
KW - Bioactive materials
KW - Bioimaging
KW - Delivery systems
KW - Drug solubility
KW - Phenolate-based complex, Phenolate salts
KW - Polyphenol
UR - https://www.scopus.com/pages/publications/105009954507
U2 - 10.1016/j.ccr.2025.216941
DO - 10.1016/j.ccr.2025.216941
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AN - SCOPUS:105009954507
SN - 0010-8545
VL - 544
JO - Coordination Chemistry Reviews
JF - Coordination Chemistry Reviews
M1 - 216941
ER -