Author

M. Oikawa

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:protein design· 2 Assay:protein sequence· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

H. Nakazawa· 2 shared K. Tsuda· 2 shared M. Umetsu· 2 shared T. Kameda· 2 shared Y. Saito· 2 shared T. Ito· 1 shared T. Niide· 1 shared T. Sato· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 26 mutual co-author links

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2 shared papersBioengineering

H. Nakazawa

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2 papers

Recent·Most cited

Machine-learning-guided library design cycle for directed evolution of enzymes: the effects of training data composition on sequence space exploration

Y. Saito, M. Oikawa, T. Sato, H. Nakazawa, T. Ito, T. Kameda, K. Tsuda, M. Umetsu

This study shows that ML-guided directed evolution can lead to different enzyme variants depending on the presence of a highly positive variant in training data, achieving similar activity improvements.

bioRxiv · Aug 13, 2021Bioengineering

A machine-learning-guided mutagenesis platform for accelerated discovery of novel functional proteins

Y. Saito, M. Oikawa, H. Nakazawa, T. Niide, T. Kameda, K. Tsuda, M. Umetsu

The paper introduces a machine-learning-guided mutagenesis platform that accelerates discovery of functional proteins by using two rounds of mutagenesis informed by a trained model.

bioRxiv · Mar 16, 2018Bioengineering