Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 417 - 438
Опубликована: Янв. 1, 2025
Язык: Английский
Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 417 - 438
Опубликована: Янв. 1, 2025
Язык: Английский
International Journal of Biological Macromolecules, Год журнала: 2025, Номер unknown, С. 139244 - 139244
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Plasmonics, Год журнала: 2025, Номер unknown
Опубликована: Янв. 8, 2025
Язык: Английский
Процитировано
0Applied Sciences, Год журнала: 2025, Номер 15(3), С. 1166 - 1166
Опубликована: Янв. 24, 2025
Antibacterial drugs (commonly known as antibiotics) are essential for eradicating bacterial infections. Nowadays, antibacterial discovery has become an imperative need due to the lack of efficacious antibiotics, ever-increasing development multi-drug resistance (MDR), and withdrawal many pharmaceutical industries from programs. Currently, drug is widely recognized a multi-objective optimization problem where computational approaches could play pivotal role, enabling identification novel versatile agents. Yet, tackling complex phenomena such multi-genic nature infections MDR major disadvantage most modern methods. To best our knowledge, perturbation-theory machine learning (PTML) appears be only approach capable overcoming aforementioned limitation. The present review discusses PTML modeling suitable cutting-edge in discovery. In this sense, we focus attention on application models prediction and/or design multi-target (multi-protein or multi-strain) inhibitors context small organic molecules, peptide design, metal-containing nanoparticles. Additionally, highlight future applications drug-like chemotypes with multi-protein multi-strain activity.
Язык: Английский
Процитировано
0International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(4), С. 1628 - 1628
Опубликована: Фев. 14, 2025
Copper nanoparticles (CuNPs) have attracted attention due to their low cost and high specific surface area. In this work, a simple inexpensive two-step synthesis method was proposed prepare highly stable well-dispersed spherical CuNPs in solution with particle size of approximately 37 nm. Synthesis carried on the presence complexing agent trisodium citrate (TSC), while for chemical reduction step, sodium borohydride (NaBH4) used. Taking into account potential type nanoparticles, characterization represent current relevant topic field. The ability control size, shape properties by adjusting parameters (pH, precursor:stabilizer:reductant ratio, homogenization time, temperature) offers extraordinary flexibility development these materials. combination techniques such as SEM, EDX, UV-Vis, Raman, FT-IR AFM provides thorough understanding structure CuNPs, allowing modulation obtained desired direction. Based studies, copper mechanism proposed. For theoretical verification experimentally Mie theory applied. A stability study synthesized optimal conditions performed using UV-Vis analysis at time intervals (1, 3, 30 60 days), sample being kept dark, inside drawer 25 °C. after setting (Cu(II):TSC:BH4+ = 1:1:0.2, pH 5, min temperature °C) were then tested highlight antibacterial effect some reference bacterial strains. demonstrated very good antimicrobial efficacy compared traditional antimicrobials, both Gram-negative Gram-positive bacteria. This may reduce resistance, an urgent medical issue. After evaluating cytotoxic effects SKBR3 cancer cell line, significant decrease proliferation observed 0.5 mg/mL concentration, 89% h cultivation. Higher concentrations induced more rapid effect, leading accelerated decline viability.
Язык: Английский
Процитировано
0Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 417 - 438
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
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