Molecular Similarity: Methods and Performance
Author:
Publisher
Wiley
Subject
General Chemistry
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/cjoc.201300390/fullpdf
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1. Large-Scale Learning of Structure−Activity Relationships Using a Linear Support Vector Machine and Problem-Specific Metrics
2. Promises and Pitfalls of Quantitative Structure−Activity Relationship Approaches for Predicting Metabolism and Toxicity
3. Scanning Structure–Activity Relationships with Structure–Activity Similarity and Related Maps: From Consensus Activity Cliffs to Selectivity Switches
4. Activity Landscape Representations for Structure−Activity Relationship Analysis
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