2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications.
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ABSTRACT:
SUBMITTER: Du QS
PROVIDER: S-EPMC5642577 | biostudies-literature | 2017 Sep
REPOSITORIES: biostudies-literature
Publications
2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications.
Du Qi-Shi QS Wang Shu-Qing SQ Xie Neng-Zhong NZ Wang Qing-Yan QY Huang Ri-Bo RB Chou Kuo-Chen KC
Oncotarget 20170801 41
A two-level principal component predictor (2L-PCA) was proposed based on the principal component analysis (PCA) approach. It can be used to quantitatively analyze various compounds and peptides about their functions or potentials to become useful drugs. One level is for dealing with the physicochemical properties of drug molecules, while the other level is for dealing with their structural fragments. The predictor has the self-learning and feedback features to automatically improve its accuracy. ...[more]
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