QSAR/QSPR Revisited
Author:
Affiliation:
1. Laboratory for Molecular Modeling, Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy; University of North Carolina at Chapel Hill; Chapel Hill NC 27599 USA
Publisher
Wiley-VCH Verlag GmbH & Co. KGaA
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/9783527816880.ch12/fullpdf
Reference115 articles.
1. QSAR modeling: Where have you been? Where are you going to?;Cherkasov;J. Med. Chem.,2014
2. Trust, but verify: on the importance of chemical structure curation in cheminformatics and QSAR modeling research;Fourches;J. Chem. Inf. Model.,2010
3. Trust, but verify II: a practical guide to chemogenomics data curation;Fourches;J. Chem. Inf. Model.,2016
4. Data set modelability by QSAR;Golbraikh;J. Chem. Inf. Model.,2014
5. Time-split cross-validation as a method for estimating the goodness of prospective prediction;Sheridan;J. Chem. Inf. Model.,2013
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3. QSPR Modeling of Potentiometric Mg 2+ /Ca 2+ Selectivity for PVC‐plasticized Sensor Membranes;Electroanalysis;2020-01-13
4. Combination of Read-Across and QSAR for Ecotoxicity Prediction: A Case Study of Green Algae Growth Inhibition Toxicity Data;Methods in Pharmacology and Toxicology;2020
5. Development of QSAAR and QAAR models for predicting fish early-life stage toxicity with a focus on industrial chemicals;SAR and QSAR in Environmental Research;2019-10-14
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