Yutaka Saito

ORCID

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 12

Top Venues

ACS synthetic biology

iMeta

NPJ systems biology and applications

Scientific reports

National Institute of Advanced Industrial Science and Technology (AIST)

Keio University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

National Institute of Advanced Industrial Science and Technology (AIST) Oct 01 2019

Japan

Senior Researcher

National Institute of Advanced Industrial Science and Technology (AIST) Apr 01 2015 - Sep 30 2019

Japan

Researcher (Tenure Track)

National Institute of Advanced Industrial Science and Technology (AIST) Oct 01 2012 - Mar 31 2015

Japan

Postdoctoral Researcher

Education History

Keio University

Japan

PHD

Publications

Bian Bian, Toshitaka Kumagai, Yutaka Saito
VeloPro: A pipeline integrating Ribo-seq and AlphaFold deciphers association patterns between translation velocity and protein structure features. iMeta 2 (4) (2023)
Yuki Ogawa, Yutaka Saito, Hideki Yamaguchi, Yohei Katsuyama, Yasuo Ohnishi
Engineering the Substrate Specificity of Toluene Degrading Enzyme XylM Using Biosensor XylS and Machine Learning. ACS synthetic biology 12 (2) (2023)
Yuki Ogawa, Yutaka Saito, Hideki Yamaguchi, Yohei Katsuyama, Yasuo Ohnishi
Engineering the Substrate Specificity of Toluene Degrading Enzyme XylM Using Biosensor XylS and Machine Learning. ACS synthetic biology (2023)
Bian Bian, Toshitaka Kumagai, Yutaka Saito
VeloPro: A pipeline integrating Ribo-seq and AlphaFold deciphers association patterns between translation velocity and protein structure features. iMeta 2 (4) (2023)
Yuki Ogawa, Yutaka Saito, Hideki Yamaguchi, Yohei Katsuyama, Yasuo Ohnishi
Engineering the Substrate Specificity of Toluene Degrading Enzyme XylM Using Biosensor XylS and Machine Learning. ACS synthetic biology 12 (2) (2023)
Yuki Ogawa, Yutaka Saito, Hideki Yamaguchi, Yohei Katsuyama, Yasuo Ohnishi
Engineering the Substrate Specificity of Toluene Degrading Enzyme XylM Using Biosensor XylS and Machine Learning. ACS synthetic biology 12 (2) (2023)
Yuki Ogawa, Yutaka Saito, Hideki Yamaguchi, Yohei Katsuyama, Yasuo Ohnishi
Engineering the Substrate Specificity of Toluene Degrading Enzyme XylM Using Biosensor XylS and Machine Learning. ACS synthetic biology 12 (2) (2023)
Hideki Yamaguchi, Yutaka Saito
Evotuning protocols for Transformer-based variant effect prediction on multi-domain proteins. Briefings in bioinformatics 22 (6) (2022)
Godai Suzuki, Yutaka Saito, Motoaki Seki, Daniel Evans-Yamamoto, Mikiko Negishi, Kentaro Kakoi, Hiroki Kawai, Christian R Landry, Nozomu Yachie, Toutai Mitsuyama
Machine learning approach for discrimination of genotypes based on bright-field cellular images. NPJ systems biology and applications 7 (1) (2021)
Yutaka Saito, Wataru Kitagawa, Toshitaka Kumagai, Naoyuki Tajima, Yoshiyuki Nishimiya, Koichi Tamano, Yoshiaki Yasutake, Tomohiro Tamura, Tomoshi Kameda
Developing a codon optimization method for improved expression of recombinant proteins in actinobacteria. Scientific reports 9 (1) (2019)
Yutaka Saito, Misaki Oikawa, Hikaru Nakazawa, Teppei Niide, Tomoshi Kameda, Koji Tsuda, Mitsuo Umetsu
Machine-Learning-Guided Mutagenesis for Directed Evolution of Fluorescent Proteins. ACS synthetic biology 7 (9) (2018)
Yutaka Saito, Chie Sugimoto, Toutai Mituyama, Hiroshi Wakao
Epigenetic silencing of V(D)J recombination is a major determinant for selective differentiation of mucosal-associated invariant t cells from induced pluripotent stem cells. PloS one 12 (3) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yutaka Saito