Suzanne Skolnik

Prediction of pKa Using Machine Learning Methods with Rooted Topological Torsion Fingerprints: Application to Aliphatic Amines

Peter Gedeck, Brian Kelley, Weiping Jia, 2019, J. Chem. Inf. Model..

Benefit of Retraining pKa Models Studied Using Internally Measured Data

Peter Gedeck, Franco Lombardo, Weiping Jia, 2015, J. Chem. Inf. Model..

Recent Advances in Physicochemical and ADMET Profiling in Drug Discovery

Suzanne Skolnik, Jianling Wang, S. Skolnik, 2009, Chemistry & biodiversity.

Attenuation of Intestinal Absorption by Major Efflux Transporters: Quantitative Tools and Strategies Using a Caco-2 Model

Suzanne Skolnik, Jianling Wang, Xuena Lin, 2011, Drug Metabolism and Disposition.

Mitigating permeability-mediated risks in drug discovery

Suzanne Skolnik, Jianling Wang, S. Skolnik, 2010, Expert opinion on drug metabolism & toxicology.

Permeability diagnosis model in drug discovery: a diagnostic tool to identify the most influencing properties for gastrointestinal permeability.

Suzanne Skolnik, Jianling Wang, S. Skolnik, 2013, Current topics in medicinal chemistry.