Synthesis, Biological Studies, and <i>In Silico</i>-Driven Design of 8-Aminoquinoline-Based Sulfonamide Derivatives as Potential Antioxidant and Antimicrobial Agents. [PDF]
Comput Struct Biotechnol JPingaew R +6 more
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QSAR Models for Sweetness: Can They Shape the Future of Nutritional Safety? [PDF]
FoodsToropova AP +4 more
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Selective phosphoinositide 3-kinase inhibitors and implication in diabetic retinopathy as pharmacological tools. [PDF]
Front PharmacolBonaccorso C +6 more
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Combating Drug Resistance in <i>Mycobacterium Tuberculosis</i>: A Combinatorial in Silico and Experimental Modeling Approach Toward Novel ATP Synthase Inhibitor Discovery. [PDF]
Bioinform Biol InsightsEl-Zoheiry HH +6 more
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Machine Learning (ML) and Molecular Dynamics-Driven Optimization of VEGFR2 Ligands against Hepatocellular Carcinoma. [PDF]
Oncol ResYasmeen F, Manan A, Kim W, Choi S.
europepmc +1 more source
Enhancing cancer drug discovery: QSAR modeling with machine learning and chemical representations. [PDF]
PLoS OneAcosta-Murillo R +2 more
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QSAR-Guided Generative Framework for the Discovery of Synthetically Viable Odorants
Pearce T, Ibrahim A.
europepmc +1 more source
Theoretical-experimental study of new synthesized hydrazine-hydrazone benzenesulfonamide inhibitors for carbon steel in a 1.0 M hcl: DFT, QSAR. [PDF]
Sci RepElgammal WE +5 more
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Machine learning-guided Nano-QSAR modeling predicts HepaRG cell membrane toxicity of engineered nanoparticles with mechanistic insights. [PDF]
Cell Biol ToxicolHao X +7 more
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