Computational methods for inference and prediction of novel drug-drug interactions

DOI

10.2991/iiicec-15.2015.41How to use a DOI?

Keywords

in silico; DDI; algorithm

Abstract

It is critically important for drug development and clinical safety to identify and assess drug-drug interactions (DDIs) early and accurately. In addition to in vitro laboratory studies, in silico methods exist that may supplement the screening and detection of DDIs in large-scale databases. Here we review recent novel approaches that uncover underlying DDIs from the databases constructed with drug information, adverse event reports, electronic medical records, and other sources to give revelation to the researchers for further surveys.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qian Min
AU  - Jun Liao
PY  - 2015/03
DA  - 2015/03
TI  - Computational methods for inference and prediction of novel drug-drug interactions
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 170
EP  - 173
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.41
DO  - 10.2991/iiicec-15.2015.41
ID  - Min2015/03
ER  -