M
Michihiro Araki
Researcher at Kyoto University
Publications - 42
Citations - 11631
Michihiro Araki is an academic researcher from Kyoto University. The author has contributed to research in topics: Biology & Computer science. The author has an hindex of 17, co-authored 38 publications receiving 9862 citations. Previous affiliations of Michihiro Araki include Artificial Intelligence Center & Mitsubishi Chemical Corporation.
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Journal ArticleDOI
KEGG for linking genomes to life and the environment
Minoru Kanehisa,Michihiro Araki,Susumu Goto,Masahiro Hattori,Mika Hirakawa,Masumi Itoh,Toshiaki Katayama,Shuichi Kawashima,Shujiro Okuda,Toshiaki Tokimatsu,Yoshihiro Yamanishi +10 more
TL;DR: KEGG PATHWAY is now supplemented with a new global map of metabolic pathways, which is essentially a combined map of about 120 existing pathway maps, and the KEGG resource is being expanded to suit the needs for practical applications.
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From genomics to chemical genomics: new developments in KEGG
Minoru Kanehisa,Susumu Goto,Masahiro Hattori,Kiyoko F. Aoki-Kinoshita,Masumi Itoh,Shuichi Kawashima,Toshiaki Katayama,Michihiro Araki,Mika Hirakawa +8 more
TL;DR: The scope of KEGG LIGAND has been significantly expanded to cover both endogenous and exogenous molecules, and RPAIR contains curated chemical structure transformation patterns extracted from known enzymatic reactions, which would enable analysis of genome-environment interactions.
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Targeted nucleotide editing using hybrid prokaryotic and vertebrate adaptive immune systems
Keiji Nishida,Takayuki Arazoe,Nozomu Yachie,Nozomu Yachie,Nozomu Yachie,Satomi Banno,Mika Kakimoto,Mayura Tabata,Masao Mochizuki,Aya Miyabe,Michihiro Araki,Kiyotaka Y. Hara,Zenpei Shimatani,Akihiko Kondo +13 more
TL;DR: The toxicity associated with the nuclease-based CRISPR/Cas9 system was greatly reduced in the Target-AID complexes, and it was demonstrated that off-target effects were comparable to those of conventional CRISpr/Cas systems, with a reduced risk of indel formation.
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Prediction of drug–target interaction networks from the integration of chemical and genomic spaces
TL;DR: This article characterize four classes of drug–target interaction networks in humans involving enzymes, ion channels, G-protein-coupled receptors (GPCRs) and nuclear receptors, and reveal significant correlations between drug structure similarity, target sequence similarity and the drug– target interaction network topology.
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Programmable cells: Interfacing natural and engineered gene networks
Hideki Kobayashi,Mads Kærn,Michihiro Araki,Kristy Chung,Timothy S. Gardner,Charles R. Cantor,James J. Collins +6 more
TL;DR: This work employs a modular design strategy to create Escherichia coli strains where a genetic toggle switch is interfaced with: the SOS signaling pathway responding to DNA damage, and a transgenic quorum sensing signaling pathway from Vibrio fischeri.