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Construction of a Genetic Information Database for Analysis of Oncolytic Viruses

초록

영어

Oncolytic viruses are characterized by their ability to selectively kill cancer cells, and thus they have potential for application as novel anticancer agents. Despite an increase in the number of studies on methodologies involving oncolytic viruses, bioinformatic studies generating useful data are lacking. We constructed a database for oncolytic virus research (the oncolytic virus database, OVDB) by integrating scattered genetic information on oncolytic viruses and proposed a systematic means of using the biological data in the database. Our database provides data on 14 oncolytic viral strains and other types of viruses for comparative analysis. We constructed the OVDB using the basic local alignment search tool, and therefore can provides genetic information on highly homologous oncolytic viruses. This study contributes to facilitate systematic bioinformatics research, providing valuable data for development of oncolytic virus-based anticancer therapies.

목차

Abstract
1. Introduction
2. Methods
3. Results
3.1 Construction of an oncolytic virus database
3.2 Search function of the OVDB
3.3 Analysis function of the OVDB
4. Discussion
5. Conclusion
Acknowledgement
References

저자정보

  • Myeongji Cho Postdoctoral Researcher, Institute of Health and Environment, Seoul National University, Korea
  • Hyeon Seok Son Professor, Laboratory of Computational Biology & Bioinformatics, Institute of Public Health and Environment, Graduate School of Public Health, Seoul National University, Korea
  • Hayeon Kim Assistant Professor, Department of Biomedical Laboratory Science, Kyungdong University, Korea

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