Comparison of representational spaces based on structural information in the development of QSAR models for benzylamino enaminone derivatives
Author:
Publisher
Informa UK Limited
Subject
Drug Discovery,Molecular Medicine,General Medicine,Bioengineering
Link
http://www.tandfonline.com/doi/pdf/10.1080/1062936X.2012.719543
Reference44 articles.
1. Fragment-similarity-based QSAR (FS-QSAR) algorithm for ligand biological activity predictions
2. Performance of (consensus) kNN QSAR for predicting estrogenic activity in a large diverse set of organic compounds
3. QSAR study of selective I1-imidazoline receptor ligands
4. New QSAR prediction models derived from GPCR CB2-antagonistic triaryl bis-sulfone analogues by a combined molecular morphological and pharmacophoric approach
5. Modelling of the Biological Activity for a Set of Ceramic Fibre Materials: A QSAR Study
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