Results 211 to 220 of about 1,970,027 (229)
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4D- quantitative structure–activity relationship modeling: making a comeback

Expert Opinion on Drug Discovery, 2019
Introduction: Predictive Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential methodology for rapidly assessing various properties of chemicals.
D. Fourches, Jeremy R. Ash
semanticscholar   +1 more source

The (Re)-Evolution of Quantitative Structure-Activity Relationship (QSAR) Studies Propelled by the Surge of Machine Learning Methods

Journal of Chemical Information and Modeling, 2022
T. Soares   +5 more
semanticscholar   +1 more source

Antifungal Activity of Griseofulvin Derivatives against Phytopathogenic Fungi in Vitro and in Vivo and Three-Dimensional Quantitative Structure-Activity Relationship Analysis.

Journal of Agricultural and Food Chemistry, 2019
With environmental pollution, residual hazards accumulate and severe drug resistance and many other problems appear; some highly toxic drugs have been banned, and antifungal agents are far from satisfactory. Natural products play an important role in the
Yu-Bin Bai   +5 more
semanticscholar   +1 more source

Application of quantitative structure-activity relationship to food-derived peptides: Methods, situations, challenges and prospects

Trends in Food Science & Technology, 2021
Weichen Bo   +7 more
semanticscholar   +1 more source

Quantum chemical descriptors in quantitative structure–activity relationship models and their applications

, 2021
Liang-Liang Wang   +5 more
semanticscholar   +1 more source

Origins of Selective Oxidation in Carbon-Based Nonradical Oxidation Processes toward Organic Pollutants: Quantitative Structure-Activity Relationships (QSARs).

Environmental Science and Technology
Metal-free carbon material-mediated nonradical oxidation processes (C-NOPs) have emerged as a research hotspot due to their excellent performance in selectively eliminating organic pollutants in aqueous environments.
Peng Zhang   +9 more
semanticscholar   +1 more source

Quasi-SMILES-Based Nano-Quantitative Structure-Activity Relationship Model to Predict the Cytotoxicity of Multiwalled Carbon Nanotubes to Human Lung Cells.

Chemical Research in Toxicology, 2018
T. X. Trinh   +5 more
semanticscholar   +1 more source

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