Development of static analysis methods for neuronal signal transduction
Project/Area Number |
20700272
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Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Single-year Grants |
Research Field |
Bioinformatics/Life informatics
|
Research Institution | Keio University |
Principal Investigator |
KIKUCHI Shinichi Keio University, 環境情報学部, 専任講師 (50348851)
|
Project Period (FY) |
2008 – 2009
|
Project Status |
Completed (Fiscal Year 2009)
|
Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2009: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2008: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
Keywords | 生体生命システム情報学 / シグナル伝達 / マイクロアレイ / 神経細胞 / 海馬 / 静的解析ネットワーク / ネットワーク / システム生物学 / バイオインフォマティクス |
Research Abstract |
Dynamic models of signal transduction involve a combinatorial explosion problem in their kinetic parameters modeled. A methodology proposed was a kind of static modeling. An algebraic method showed a reaction participation and pathway ength of extreme pathways which span the kernel of the stoichiometric matrix. Also, a discrete analysis revealed the distribution of k-shortest pathways of a weighted, directed graph. These calculations were possible alternatives for a schematic representation of signal transduction.
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Report
(3 results)
Research Products
(21 results)