Prediction of Aqueous Solubility and Partition Coefficient Optimized by a Genetic Algorithm Based Descriptor Selection Method
Author:
Affiliation:
1. Zentrum für Bioinformatik Tübingen (ZBIT), Universität Tübingen, Sand 1, D-72076 Tübingen, Germany
Publisher
American Chemical Society (ACS)
Subject
Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ci034006u
Reference48 articles.
1. Toward an Optimal Procedure for Variable Selection and QSAR Model Building
2. 2D QSAR Modeling and Preliminary Database Searching for Dopamine Transporter Inhibitors Using Genetic Algorithm Variable Selection of Molconn Z Descriptors
3. Distance-Related Indexes in the Quantitative Structure−Property Relationship Modeling
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