Enhancing cancer drug discovery: QSAR modeling with machine learning and chemical representations. [PDF]
Acosta-Murillo R +2 more
europepmc +1 more source
SMILES-based QSAR analysis of carbamate derivatives targeting butyrylcholinesterase. [PDF]
Latifi N, Ahmadi S, Lotfi S, Kolahi SA.
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]
Elgammal WE +5 more
europepmc +1 more source
Toward In Silico NAMs Analysis of Thyroid Disruption Leading to Developmental Neurotoxicity─A Collection of AOP-Anchored Computational Models. [PDF]
Judzinska B +6 more
europepmc +1 more source
QSPR prediction of physico-chemical properties and endocrine disruption activity of brominated flame retardants [PDF]
PAPA, ESTER +2 more
core
In Silico Models for Predicting Adsorption of Organic Pollutants on Atmospheric Nanoplastics by Combining Grand Canonical Monte Carlo/Density Functional Theory and Quantitative Structure Activity Relationship Approach. [PDF]
Wang Y +5 more
europepmc +1 more source
How quantum-chemical geometry optimization level affects classical 3D descriptors and QSAR performance: a comparative study. [PDF]
Li J, Gu R, Du S, Xu L.
europepmc +1 more source
Data curation in cheminformatics: importance and implementation. [PDF]
Esaki T, Ikeda K.
europepmc +1 more source
Discovery of AKT1 Inhibitors for Obesity and Metabolic Dysfunction-Associated Steatotic Liver Disease Using QSAR-Guided Virtual Screening and Gaussian Accelerated Molecular Dynamics. [PDF]
Cao K +6 more
europepmc +1 more source
Methodological Challenges in the Application of QSAR Models for Chemical Prioritization and Toxicity Assessment: A Case Study on Aryl Hydrocarbon Receptor Activity in Environmental Pollutant Mixtures. [PDF]
Komprda J +6 more
europepmc +1 more source

