Classifying proteins related to adverse drug reactions from drug targets using support vector machines

Shih Fang Lin; Ke Ting Xiao; Chung Cheng Chiu; Von Wun Soo

Classifying proteins related to adverse drug reactions from drug targets using support vector machines

Shih Fang Lin^*
, Ke Ting Xiao
, Chung Cheng Chiu
, Von Wun Soo

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Adverse drug reaction (ADR) is big challenge in drug development process. Many studies reported that ADR-related proteins (ADRRPs) could cause ADRs. Studies on the molecular mechanisms of ADRs reported that some drug targets are ADR-related proteins (ADRRPs). The goal of this research is to use SVM method to classify the adverse drug reaction related proteins from drug targets. Our approach is to find out the features that are significant enough to classify those proteins. This method can help not only the analysis and prediction on ADRRPs from drug targets but also the evaluation on safety of drug targets in the early drug discovery process.

Original language	English
Title of host publication	Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
Pages	753-759
Number of pages	7
State	Published - 2008
Externally published	Yes
Event	2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008 - Las Vegas, NV, United States Duration: 14 07 2008 → 17 07 2008

Publication series

Name	Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008

Conference

Conference	2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
Country/Territory	United States
City	Las Vegas, NV
Period	14/07/08 → 17/07/08

Keywords

Adverse drug reaction
Drug target
F-scores
ROC
Support vector machines

Cite this

Lin, S. F., Xiao, K. T., Chiu, C. C., & Soo, V. W. (2008). Classifying proteins related to adverse drug reactions from drug targets using support vector machines. In Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008 (pp. 753-759). (Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008).

Lin, Shih Fang ; Xiao, Ke Ting ; Chiu, Chung Cheng et al. / Classifying proteins related to adverse drug reactions from drug targets using support vector machines. Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008. 2008. pp. 753-759 (Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008).

@inproceedings{8a98b2b27a704baf9cda2b9c6d10696d,

title = "Classifying proteins related to adverse drug reactions from drug targets using support vector machines",

abstract = "Adverse drug reaction (ADR) is big challenge in drug development process. Many studies reported that ADR-related proteins (ADRRPs) could cause ADRs. Studies on the molecular mechanisms of ADRs reported that some drug targets are ADR-related proteins (ADRRPs). The goal of this research is to use SVM method to classify the adverse drug reaction related proteins from drug targets. Our approach is to find out the features that are significant enough to classify those proteins. This method can help not only the analysis and prediction on ADRRPs from drug targets but also the evaluation on safety of drug targets in the early drug discovery process.",

keywords = "Adverse drug reaction, Drug target, F-scores, ROC, Support vector machines",

author = "Lin, \{Shih Fang\} and Xiao, \{Ke Ting\} and Chiu, \{Chung Cheng\} and Soo, \{Von Wun\}",

year = "2008",

language = "英语",

isbn = "1601320558",

series = "Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008",

pages = "753--759",

booktitle = "Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008",

note = "2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008 ; Conference date: 14-07-2008 Through 17-07-2008",

}

Lin, SF, Xiao, KT, Chiu, CC & Soo, VW 2008, Classifying proteins related to adverse drug reactions from drug targets using support vector machines. in Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008. Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008, pp. 753-759, 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008, Las Vegas, NV, United States, 14/07/08.

Classifying proteins related to adverse drug reactions from drug targets using support vector machines. / Lin, Shih Fang; Xiao, Ke Ting; Chiu, Chung Cheng et al.
Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008. 2008. p. 753-759 (Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Classifying proteins related to adverse drug reactions from drug targets using support vector machines

AU - Lin, Shih Fang

AU - Xiao, Ke Ting

AU - Chiu, Chung Cheng

AU - Soo, Von Wun

PY - 2008

Y1 - 2008

N2 - Adverse drug reaction (ADR) is big challenge in drug development process. Many studies reported that ADR-related proteins (ADRRPs) could cause ADRs. Studies on the molecular mechanisms of ADRs reported that some drug targets are ADR-related proteins (ADRRPs). The goal of this research is to use SVM method to classify the adverse drug reaction related proteins from drug targets. Our approach is to find out the features that are significant enough to classify those proteins. This method can help not only the analysis and prediction on ADRRPs from drug targets but also the evaluation on safety of drug targets in the early drug discovery process.

AB - Adverse drug reaction (ADR) is big challenge in drug development process. Many studies reported that ADR-related proteins (ADRRPs) could cause ADRs. Studies on the molecular mechanisms of ADRs reported that some drug targets are ADR-related proteins (ADRRPs). The goal of this research is to use SVM method to classify the adverse drug reaction related proteins from drug targets. Our approach is to find out the features that are significant enough to classify those proteins. This method can help not only the analysis and prediction on ADRRPs from drug targets but also the evaluation on safety of drug targets in the early drug discovery process.

KW - Adverse drug reaction

KW - Drug target

KW - F-scores

KW - ROC

KW - Support vector machines

UR - https://www.scopus.com/pages/publications/62649163825

M3 - 会议稿件

AN - SCOPUS:62649163825

SN - 1601320558

SN - 9781601320551

T3 - Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008

SP - 753

EP - 759

BT - Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008

T2 - 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008

Y2 - 14 July 2008 through 17 July 2008

ER -

Lin SF, Xiao KT, Chiu CC, Soo VW. Classifying proteins related to adverse drug reactions from drug targets using support vector machines. In Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008. 2008. p. 753-759. (Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008).

Classifying proteins related to adverse drug reactions from drug targets using support vector machines

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Publication series

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Keywords

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