Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

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

Authors
Qian Min, Jun Liao
Corresponding Author
Qian Min
Available Online March 2015.
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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Volume Title
Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
Series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
10.2991/iiicec-15.2015.41
ISSN
2352-538X
DOI
10.2991/iiicec-15.2015.41How to use a DOI?
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/).

Cite this article

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  -