| 研究実績の概要 |
Under this project, we collected metabolite activity data and structural information of metabolites from KNApSAcK database and constructed the structural similarity based network of metabolites. Also we developed a network clustering tool called DPClusOST which we applied for function prediction of metabolites. It has been proposed that structural similarity between metabolites implies functional similarity between them. In light of this fact we propose a method for function prediction of secondary metabolites based on association philosophy. We are writing a manuscript on this now and will publish by this year. In parallel we have done several other works. Based on the research related to this project, we got five publications during last one year and submitted a paper to IEEE TRANSACTIONS ON Computational Biology and Bioinformatics, which is now under review.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
We developed an algorithm and tool for our project.We performed some extra work on the algorithm by extending it for biclustering and also used it in other research and published the following papers:
1. Mohammand Bozlul Karim ; Shigehiko Kanaya;Md. Altaf-Ul-Amin; “Comparison of BiClusO with five different biclustering algorithms using biological and Synthetic data”, Proceedings of the 7th International Conference on Complex Networks and Their Applications; December 11-13, 2018, Cambridge, United Kingdom.
2. 1.Eguchi, R., Karim, M. B., Hu, P., Sato, T., Ono, N., Kanaya, S., & Altaf-Ul-Amin, M. (2018). An integrative network-based approach to identify novel disease genes and pathways: a case study in the context of inflammatory bowel disease. BMC bioinformatics, 19(1), 264.
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