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This article is part of the supplement: Fourth International Workshop on Data and Text Mining in Biomedical Informatics (DTMBio) 2010

Open Access Highly Accessed Proceedings

Building the process-drug–side effect network to discover the relationship between biological Processes and side effects

Sejoon Lee1, Kwang H Lee1, Min Song2* and Doheon Lee1*

Author Affiliations

1 Bio and Brain Engineering Department, KAIST, Daejeon 305-701, South Korea

2 Information Systems Department, New Jersey Institute of Technology, University Heights, Newark, USA

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BMC Bioinformatics 2011, 12(Suppl 2):S2  doi:10.1186/1471-2105-12-S2-S2

Published: 29 March 2011

Additional files

Additional file 1:

This file contains common drug names and related side effect names which are reported with frequency of greater than 20% from SIDER. First Column: Drug Bank ID Second Column: Drug name Third Column: Effect ID ( UMLS Concept ID) Fourth Column: Effect name

Format: DOC Size: 68KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 2:

This file contains up_regulated processes (T-score > 3.0) and related effects. First Column: Effect ID ( UMLS Concept ID) Second Column: Process ID ( Gene Ontology ID) Third Column: The number of drugs which affect to process and causing the side effect. Fourth Column: Total drugs which are causing the side effect.

Format: DOC Size: 1.6MB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 3:

This file contains down_regulated processes (T-score > 3.0) and related effects. First Column: Effect ID ( UMLS Concept ID) Second Column: Process ID ( Gene Ontology ID) Third Column: The number of drugs which affect to process and causing the side effect. Fourth Column: Total drugs which are causing the side effect.

Format: DOC Size: 1.1MB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data