AI-Integrated QSAR Modeling for Enhanced Drug Discovery: From Classical Approaches to Deep Learning and Structural Insight. [PDF]
Koirala M, Yan L, Mohamed Z, DiPaola M.
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QSAR-based physiologically based pharmacokinetic (PBPK) modeling for 34 fentanyl analogs: model validation, human pharmacokinetic prediction and abuse risk insights. [PDF]
Zhang S +9 more
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Simulation of the Impact of Pesticides on Pollinators Under Different Conditions Using Correlation Weighting of Quasi-SMILES Components Together with the Index of Ideality of Correlation (IIC). [PDF]
Toropova AP +4 more
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Food contaminants: mechanisms of toxicity, computational assessment, and mitigation. [PDF]
Escorihuela L +3 more
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In Silico Development of Novel Quinazoline-Based EGFR Inhibitors via 3D-QSAR, Docking, ADMET, and Molecular Dynamics. [PDF]
Moussaoui M +10 more
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Structural Basis for D3/D4-Selective Antagonism of Piperazinylalkyl Pyrazole/Isoxazole Analogs. [PDF]
Choi KE +6 more
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Machine Learning-Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation. [PDF]
Kakraba S +5 more
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In Silico Design and Validation of a Novel HPPD-Inhibiting Herbicide Candidate Based on Benzofuran and Arylthioacetic Acid Scaffolds. [PDF]
Capucho LR, Cunha EFF, Freitas MP.
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Mutagenicity: QSAR - quasi-QSAR - nano-QSAR
Mini-Reviews in Medicinal Chemistry, 2015Mutagenic potential of biphenyl-4-amines and multi-walled carbon nanotubes (MWCNTs) have been modeled by optimal descriptors. The optimal descriptors are calculated with the Monte Carlo method by means of the CORAL software (http://www.insilico.eu/coral).
Alla Toropova, Andrey Toropov
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