Informatics analysis on selectivity and diversity of enzymatic reaction

2016 Fiscal Year Final Research Report

• Project/Area Number: 26430198
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: System genome science
• Research Institution: Kobe University
• Principal Investigator: araki michihiro 神戸大学, 科学技術イノベーション研究科, 特命准教授 (40396867)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: バイオインフォマティクス

Outline of Final Research Achievements

In constructing a novel metabolic pathway, selection of enzyme gene candidates required for metabolic pathways, whether unknown or known, is an important task. In this research, in order to more efficiently select such enzyme genes, we reconstructed a new enzyme reaction database that integrated information diffused in each database in a form suitable for this purpose. Based on this, we have developed biological and chemical information analysis and machine learning methods that can support selection of representative gene sequences while considering selectivity and diversity of enzyme genes.

Free Research Field

合成生物学