Publication: Centrality searching on signal transduction pathway for drug selection support system in targeted cancer therapy
Issued Date
2017-02-21
Resource Type
Other identifier(s)
2-s2.0-85016174798
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
20th International Computer Science and Engineering Conference: Smart Ubiquitos Computing and Knowledge, ICSEC 2016. (2017)
Suggested Citation
Massaya Samnienggam, Tanasanee Phienthrakul Centrality searching on signal transduction pathway for drug selection support system in targeted cancer therapy. 20th International Computer Science and Engineering Conference: Smart Ubiquitos Computing and Knowledge, ICSEC 2016. (2017). doi:10.1109/ICSEC.2016.7859908 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/42386
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
Centrality searching on signal transduction pathway for drug selection support system in targeted cancer therapy
Author(s)
Other Contributor(s)
Abstract
© 2016 IEEE. Cancer is a leading cause of death in the world. Many researchers are still searching for cancer treatments as well. This paper proposes a technique to support the cancer treatments, call Targeted Cancer Therapy. This treatment affects specific to cancer cells to inhibit signal transduction processes because the signal transduction is the cause of the growth and division of cancer cells. Normally, this treatment will take drugs to the target gene that causes cancer. However, sometimes, there is no drug for the target gene. Signal transduction pathway can be used for analyzing the related drug. The drug searching in pathway is considered in this research. Graph traversal such as Depth First Search (DFS) and Breadth First Search (BFS) are used as the searching techniques in the pathway. Centrality measures are applied to graph traversal in order to increase performance of search results. Drug results are scored and measured. Experimental results show that the betweenness centrality on depth first search yields a set of suitable drugs that is higher than those of degree and closeness centrality.