Development of machine learning methods to comprehensively predict drug targets from omics data
Project/Area Number |
25700029
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Research Category |
Grant-in-Aid for Young Scientists (A)
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Allocation Type | Partial Multi-year Fund |
Research Field |
Life / Health / Medical informatics
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Research Institution | Kyushu University |
Principal Investigator |
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Project Period (FY) |
2013-04-01 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥24,050,000 (Direct Cost: ¥18,500,000、Indirect Cost: ¥5,550,000)
Fiscal Year 2015: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥9,360,000 (Direct Cost: ¥7,200,000、Indirect Cost: ¥2,160,000)
Fiscal Year 2013: ¥10,270,000 (Direct Cost: ¥7,900,000、Indirect Cost: ¥2,370,000)
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Keywords | 機械学習 / インシリコ創薬 / 標的分子 / 相互作用予測 / 薬物 |
Outline of Final Research Achievements |
The identification of interactions between drugs and target proteins is a key area in genomic drug discovery. Various high-throughput experimental projects enable us to analyze the genome, transcriptome, proteome. At the same time, the high-throughput screening of large-scale chemical compound libraries with various biological assays produce chemical and phenotypic data on drugs and bioactive compounds. In this project, we develop machine learning methods to infer unknown drug-target interactions by integrating various large-scale omics data.
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Report
(4 results)
Research Products
(44 results)
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[Journal Article] Inferring protein domains associated with drug side effects based on drug-target interaction network2013
Author(s)
Iwata, H., Mizutani, S., Tabei, Y., Kotera, M., Goto, S., and Yamanishi, Y.
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Journal Title
BMC Systems Biology
Volume: 7(Suppl 6)
Issue: S6
DOI
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Peer Reviewed
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[Presentation] DINIES: A web-based application for predicting drug-target interaction networks2015
Author(s)
Yamanishi, Y., Kotera, M., Moriya, Y., Sawada, R., Kanehisa, M., and Goto, S.
Organizer
The Thirteenth Asia Pacific Bioinformatics Conference
Place of Presentation
HsinChu
Year and Date
2015-01-21 – 2015-01-23
Related Report
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[Presentation] DINIES: A web-based application for predicting drug-target interaction networks2014
Author(s)
Yamanishi, Y., Kotera, M., Moriya, Y., Sawada, R., Kanehisa, M., and Goto, S.
Organizer
The 22nd International Conference on Intelligent Systems for Molecular Biology
Place of Presentation
Boston
Year and Date
2014-07-11 – 2014-07-15
Related Report
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[Presentation] KCF-S: KEGG Chemical Function and Substructure for improved interpretability and prediction in chemical bioinformatics2013
Author(s)
Kotera, M., Tabei, Y., Yamanishi, Y., Moriya, Y., Tokimatsu, T., Kanehisa, M., and Goto, S.
Organizer
The 24th International Conference on Genome Informatics (GIW2013)
Place of Presentation
Singapore, Singapore
Related Report
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[Presentation] Inferring protein domains associated with drug side effects based on drug-target interaction network2013
Author(s)
Iwata, H., Mizutani, S., Tabei, Y., Kotera, M., Goto, S., and Yamanishi, Y.
Organizer
The 24th International Conference on Genome Informatics (GIW2013)
Place of Presentation
Singapore, Singapore
Related Report
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