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Food safety problems caused by microbial contamination (biotoxins, foodborne pathogens and spoilage bacteria, etc.) have always been a hot issue in food research, which seriously threatens people's health. In order to deeply analyze the principle of microbial contamination and ensure food safety from the root, the research on microbial biomolecular interactions with the help of molecular simulation technology has attracted wide attention. With the improvement of computer power, molecular simulation technology has become a hot spot in the research fields of microbial biotoxin mechanism and target finding, novel antimicrobial peptide design and bacteriostatic small-molecule drug design with the advantage of its high precision. In this paper, based on the current development of molecular simulation technology including protein molecular modeling, molecular docking and molecular dynamics, we systematically review the progress of the application of molecular simulation technology in the field of microbial contamination of food and discuss its future development prospects.
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http://dx.doi.org/10.1080/10408398.2025.2519709 | DOI Listing |
Bioorg Chem
September 2025
Post Graduate and Research Department of Botany, A.V.V.M. Sri Pushpam College (Affiliated to Bharathidasan University), Poondi 613 503, Thanjavur, India. Electronic address:
The research employed zirconyl oxychloride as a catalyst in a reaction involving pyrazole aldehyde, (thio)urea, and acetyl acetone to establish an aqueous approach for synthesizing 3,4-dihydropyrimidinone derivatives (compounds 4a-j) with potential claims as antidiabetic agents. FT-IR, HR-MS, H NMR and C NMR were employed to analyze the synthesized compounds. The HOMO-LUMO analysis was performed to evaluate the stability of the synthesized derivatives.
View Article and Find Full Text PDFChem Biodivers
September 2025
Department of Biology, Faculty of Science, Selçuk University, Konya, Turkey.
Hippophae salicifolia, commonly known as sea buckthorn, is native to the Indian Himalayan region. This study is the first to comprehensively assess the phytochemical profile and biological activities of H. salicifolia leaves extracted through maceration, infusion, and percolation (Soxhlet apparatus) methods.
View Article and Find Full Text PDFChem Biodivers
September 2025
Department of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk, Republic of Korea.
One of the most significant problems facing the scientific community in the 21st century is diabetes mellitus. There is an urgent need to create new powerful compounds that can fight this terrible disease because the number of instances of diabetes and drug-resistant diabetes is rising. We have synthesized a novel series of thiazole-derived thiadiazole-based Schiff base derivatives (1-10) in an effort to identify potential antidiabetic agents.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Dhaka, Dhaka, Bangladesh.
Objectives: Antibiotic resistance towards penicillin has been attempted to counter by chemically modifying ampicillin through the conjugation with silver nanoparticles (AgNPs). The current study optimizes the conditions for synthesizing and characterizing AgNP-ampicillin to quantify the conjugation extent, evaluate the antibacterial efficacy, and explore the underlying antibacterial mechanisms.
Materials And Methods: AgNPs were synthesized from silver nitrate by chemical reduction method, silica-coated with tetraethyl orthosilicate (TEOS) and amine functionalized by (3-aminopropyl) triethoxysilane (APTES), which was then conjugated with ampicillin via the carbodiimide chemistry.
PLoS One
September 2025
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Objective: This study employs integrated network toxicology and molecular docking to investigate the molecular basis underlying 4-nonylphenol (4-NP)-mediated enhancement of breast cancer susceptibility.
Methods: We integrated data from multiple databases, including ChEMBL, STITCH, Swiss Target Prediction, GeneCards, OMIM and TTD. Core compound-disease-associated target genes were identified through Protein-Protein Interaction (PPI) network analysis.