A series of hydrazide-hydrazones , the imine derivatives of hydrazides and aldehydes bearing benzene rings, were screened as inhibitors of laccase from . Laccase is a copper-containing enzyme which inhibition might prevent or reduce the activity of the plant pathogens that produce it in various biochemical processes. The kinetic and molecular modeling studies were performed and for selected compounds, the docking results were discussed. Seven 4-hydroxybenzhydrazide (4-HBAH) derivatives exhibited micromolar activity = 24-674 µM with the predicted and desirable competitive type of inhibition. The structure-activity relationship (SAR) analysis revealed that a slim salicylic aldehyde framework had a pivotal role in stabilization of the molecules near the substrate docking site. Furthermore, the presence of phenyl and bulky -butyl substituents in position 3 in salicylic aldehyde fragment favored strong interaction with the substrate-binding pocket in laccase. Both 3- and 4-HBAH derivatives containing larger 3--butyl-5-methyl- or 3,5-di--butyl-2-hydroxy-benzylidene unit, did not bind to the active site of laccase and, interestingly, acted as non-competitive ( = 32.0 µM) or uncompetitive ( = 17.9 µM) inhibitors, respectively. From the easily available laccase inhibitors only sodium azide, harmful to environment and non-specific, was over 6 times more active than the above compounds.
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http://dx.doi.org/10.3390/molecules25051255 | DOI Listing |
Cell Rep
January 2025
State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, China. Electronic address:
Sterols target sterol-sensing domain (SSD) proteins to lower cholesterol and circulating and hepatic triglyceride levels, but the mechanism remains unclear. In this study, we identify acyl-coenzyme A (CoA) synthetase long-chain family member 1 (ACSL1) as a direct target of ergosterol (ES). The C-terminal domain of ACSL1 undergoes conformational changes from closed to open, and ES may target the drug-binding pocket in the acetyl-CoA synthetase-like domain 1 (ASLD1) of ACSL1 to stabilize the closed conformation and maintain its activity.
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January 2025
Department of Mathematical Sciences, Faculty of Science, Somali National University, Mogadishu Campus, Mogadishu, Somalia.
In recent years, machine learning has gained substantial attention for its ability to predict complex chemical and biological properties, including those of pharmaceutical compounds. This study proposes a machine learning-based quantitative structure-property relationship (QSPR) model for predicting the physicochemical properties of anti-arrhythmia drugs using topological descriptors. Anti-arrhythmic drug development is challenging due to the complex relationship between chemical structure and drug efficacy.
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January 2025
Laboratory of Medicinal Chemical Biology, Department of Medicinal Chemistry, College of Pharmaceutical Sciences, Suzhou Medical College, Soochow University, 199 Ren'ai Road, Suzhou, 215123, PR China. Electronic address:
Pleurotin (1) is a benzoquinone meroterpenoid known for its wide-spectrum antitumor and antibiotic activities, notably acting as natural inhibitors of the thioredoxin reductase (TrxR). Pleurotin (1) has been chemically synthesized, but only in milligram quantities through at least 13 longest linear steps with 0.8 % overall yield due to its complex structure such as fused hexacyclic core with 8 contiguous stereocenters.
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January 2025
Beijing Key Laboratory of Technology and Application for Anti-Infective New Drugs Research and Development, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China. Electronic address:
Infectious diseases caused by drug-resistant bacteria represent one of the most significant global public challenges of this century. There is an urgent need for the treatment of drug-resistant Gram-negative bacterial infections. A series of 3,4-dihydro-2H-[1,3]oxazino[5,6-h]quinoline derivatives were synthesized and evaluated for their antibacterial activity against Gram-negative bacteria including strains from ATCC and clinical isolates, initially revealing the structure-activity relationship.
View Article and Find Full Text PDFMol Inform
January 2025
Department of Applied Chemistry, School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan.
Recent advances in machine learning have significantly impacted molecular design, notably the molecular generation method combining the chemical variational autoencoder (VAE) with Gaussian mixture regression (GMR). In this method, a mathematical model is constructed with X as the latent variable of the molecule and Y as the target properties and activities. Through direct inverse analysis of this model, it is possible to generate molecules with the desired target properties.
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