IEEE - Institute of Electrical and Electronics Engineers, Inc. - Predicting the Absorption Potential of Chemical Compounds through a Deep Learning Approach

Author(s): Moonshik Shin ; Dongjin Jang ; Hojung Nam ; Kwang Hyung Lee ; Doheon Lee
Sponsor(s): IEEE Computer Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (Paper): 1545-5963
DOI: 10.1109/TCBB.2016.2535233
Regular:

The human colorectal carcinoma cell line (Caco-2) is a commonly used in-vitro test that predicts the absorption potential of orally administered drugs. In-silico prediction methods, based on the... View More

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