2016 Fiscal Year Final Research Report
Development of a protein glycosylation prediction method considering the sugar types, and construction of a glycoplotein database
| Project/Area Number |
26330332
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Life / Health / Medical informatics
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| Research Institution | Meiji University |
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Principal Investigator |
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| Research Collaborator |
ETCHUYA Kenji
OGAWA Tsubasa
TAKACHIO Naoyuki
NAGASHIMA Keiya
HAMADA Kota
SUGITA Hiromu
TAKAHASHI Daiki
YAMAGUCHI Takuya
UCHIKAI Takayuki
KIKEGAWA Tatsuki
KITADA Yohei
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Keywords | バイオインフォマティクス / タンパク質 / アミノ酸配列 / 二次構造 / 立体構造 / 細胞内局在 / 糖鎖修飾 / 予測法 |
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| Outline of Final Research Achievements |
A protein glycosylation prediction method considering the modified sugar types was developed in this research. The sugar type specificities of the sequence, structure and subcellular localization of the sugar modified proteins in the Uniprot and PDB databases were extracted by the statistical analysis. The factors which were available as the parameters of the sugar type discrimination were found. A sugar discrimination method with high accuracy was developed using the protein sequence and subcellular localization.
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| Free Research Field |
生命情報科学
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