Resveratrol, for example widely present in the Chinese herbal medicine Polygonum cuspidatum, it is a natural phytoalexin, and has many biochemical activities, such as anti-tumor, anti-cardiovascular diseases, anti-bacterial, anti-inflammatory, anti-aging and other effects. This article will concentrate on the physical and chemical properties of resveratrol, the biological and pharmacological effects for its anticancer activities. An outlook is given to the development and application prospects in this drug.
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Chem Biodivers
January 2025
St Xavier's College, Kolkata, Department of Chemistry, 30, Mother teresa Sarani, Kol-16, 700016, Kolkata, INDIA.
Amino-quinolines are potential candidates that may provide some insight into the current chemotherapeutic research due to their demonstrated anti-cancer activity. This led us to synthesize and explore a new amino-azo-quinoline ligand H2L 1 and its square planar nickel(II) complexes [Ni(HL)(OAc)], 2 and [Ni(HL)Cl], 3 and the structures were determined by SCXRD. Theoretical investigation of redox orbitals of the complexes discloses that the reduction process is due to ligand reduction whereas both metal and ligand are contributing towards oxidation.
View Article and Find Full Text PDFDiscov Oncol
January 2025
Department of Biotechnology, School of Bio Sciences and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, 632014, India.
Cancer, one of the deadliest diseases, has remained the epicenter of biological research for more than seven decades. Yet all the efforts for a perfect therapeutic cure come with certain limitations. The use of medicinal plants and their phytochemicals as therapeutics has received much attention in recent years.
View Article and Find Full Text PDFSoft Matter
January 2025
Department of Chemical and Biomolecular Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
In polymerization-induced phase separation, the impact of polymer-substrate interaction on the dynamics of phase separation for polymer blends is important in determining the final morphology and properties of polymer materials as the surface can act as another driving force for phase separation other than polymerization. We modify the previously-developed polymerizing Cahn-Hilliard (pCH) method by adding a surface potential to model the phase separation behavior of a mixture of two species independently undergoing linear step-growth polymerization in the presence of a surface. In our approach, we explicitly model polydispersity by separately considering different molecular-weight components with their own respective diffusion constants, and with the surface potential preferentially acting on only one species.
View Article and Find Full Text PDFJ Mater Chem B
January 2025
Department of Optical and Biophysical Systems, Institute of Physics of the Czech Academy of Sciences, Prague, 18200, Czech Republic.
DNA nanostructures (DNs) have gained popularity in various biomedical applications due to their unique properties, including structural programmability, ease of synthesis and functionalization, and low cytotoxicity. Effective utilization of DNs in biomedical applications requires a fundamental understanding of their interactions with living cells and the mechanics of cellular uptake. Current knowledge primarily focuses on how the physicochemical properties of DNs, such as mass, shape, size, and surface functionalization, affect uptake efficacy.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Division of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.
Skin corrosion assessment is an essential toxicity end point that addresses safety concerns for topical dosage forms and cosmetic products. Previously, skin corrosion assessments required animal testing; however, differences in skin architecture and ethical concerns regarding animal models have fostered the advancement of alternative methods such as and models. This study aimed to develop deep learning (DL) models based on recurrent neural networks (RNNs) for classifying skin corrosion of chemical compounds based on chemical language notation, molecular substructure, physicochemical properties, and a combination of these three properties called conjoint fingerprints.
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