| Project/Area Number |
22500275
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Bioinformatics/Life informatics
|
|---|
| Research Institution | Tottori University |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
FUJIWARA Shin-ichi 鳥取大学, 医学部, 講師 (00362880)
|
|---|
| Project Period (FY) |
2010 – 2012
|
| Project Status |
Completed (Fiscal Year 2012)
|
| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2010: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
|
|---|
| Keywords | 統計数学 / 生体分子 / 蛋白質 / 生体生命情報学 |
|---|
| Research Abstract |
A method for comparing protein structures was developed. We consider a collection of three-dimensional coordinates of multiple proteins in which each protein has multiple conformations. The method exploits this protein-conformation hierarchy, and is based on the mixed-effects models on between- and within-protein variability. The estimation procedure is that of the EM-algorithm, in which the individual deviations of proteins are estimated and restricted using maximum-a-posteriori estimatorsand L1-regularization. At each iteration of the algorithm, the superposition of conformations can be made using a usual singular-value-decomposition but for specializedcovariance matrices. The results of numerical tests indicate that the method can be effective for characterizing the structures of multiple proteins simultaneously.
|
