Development and application of a comprehensive machine learning program for predicting molecular biochemical and pharmacological properties
Author:
Affiliation:
1. Department of Bioscience and Biotechnology, Sejong University
2. Seoul 05006
3. Korea
Abstract
We have developed and validated a comprehensive 3D-QSAR model for predicting various biochemical and pharmacological properties of organic molecules.
Funder
National Research Foundation of Korea
Publisher
Royal Society of Chemistry (RSC)
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://pubs.rsc.org/en/content/articlepdf/2019/CP/C8CP07002D
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