Last Update: 2018-12-17 03:35:01

List of Received Applications (SY-72) [Japanese]


SY) SCEJ Division Symposium

SY-72. [Symposium of Division of Biochemical Engineering] Collaboration of Top-down and Bottom-up Approaches in Biomedical Science <Closed session>

Organizer(s): Kurata Hiroyuki (Kyushu Inst. Tech.)

There are two methods in biomedical science: One is the top-down approach based on statistics and the other is the bottom-up approach based on kinetics and mechanics. We like to combine both the approach to create a mathematical model with high predictability.

Most recent update: 2018-12-17 03:35:01

The keywords that frequently used
in this topics code.
KeywordsNumber
Petri net1
kinetic model of central metabolism1
Escherichia coli1
growth coupled production1
metabolic regulation1
modification1
bioinformatics1
biomedical big data1
adaptive laboratory evolution1
diauxie shift1
diagnosis1
redox regulation1
machine learning1
omics1
Flux balance analysis1
epigenome data1
protein bioinformatics1
NADPH1
Metabolic flux1
disease genomics1
olfactory processing1
global scale metabolic network1
learning efficiency1
odor learning1

ACKN
No.
Title/Author(s)KeywordsStyle
12Simulation analysis of diauxie phenomenon using a global scale metabolic network regulated by Petri net
(Yamaguchi U.) Matsuno Hiroshi
Petri net
global scale metabolic network
diauxie shift
O
14Application of biomedical big data to disease genomics
(Kyushu U.) Suyama Mikita
disease genomics
epigenome data
biomedical big data
O
25Development of the central metabolic model of Escherichia coli taking into account the effects of oxygen level and multiple carbon sources
(Kyutech) *(Reg)Matsuoka Yu, (Reg)Kurata Hiroyuki
kinetic model of central metabolism
redox regulation
metabolic regulation
O
213In silico analysis of rate limiting step for growth coupled production
(Osaka U.) *(Reg)Shimizu Hiroshi, (Reg)Tokuyama Kento, (Reg)Toya Yoshihiro, Matsuda Fumio
Flux balance analysis
growth coupled production
adaptive laboratory evolution
O
229Identification of predictive biomarkers and therapeutic targets for precision medicines on the basis on exhaustive search from cancer omics data
(Kanazawa U.) *(Reg)Takahashi Hiro, (Kyoto U.) Muto Manabu, (Nat. Cancer Center Res. Inst.) Sasaki Hiroki
omics
bioinformatics
diagnosis
O
391Effects of the return behavior and the intentional selection of incorrect answer on the odor learning of mice
(Kanazawa U.) *(Reg)Takiguchi Noboru, (GSC, Kanazawa U.) Yano Tatsuya
odor learning
olfactory processing
learning efficiency
O
476Effect of flux ratio control of central carbon metabolism on bio-production in Escherichia coli
(Osaka U.) *(Reg)Toya Yoshihiro, (Stu)Kamata Kentaro, (Reg)Shimizu Hiroshi
Metabolic flux
Escherichia coli
NADPH
O
918Computational analysis of protein modification using statistical learning
(Kyutech) *Hasan Mehedi, Katun Mst Shamima, (Reg)Kurata Hiroyuki
protein bioinformatics
machine learning
modification
O

List of received applications (By topics code)

List of received applications
SCEJ 50th Autumn Meeting (Kagoshima, 2018)