Author

Satoshi Omori

Tohoku University

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Hafumi NishiiD· 1 shared Kazunori D. YamadaiD· 1 shared Kengo KinoshitaiD· 1 shared Ziang YaniD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Hafumi NishiORCID

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1 paper

Recent·Most cited

Prediction and Characterization of Disorder-Order Transition Regions in Proteins by Deep Learning

Ziang Yan, Satoshi Omori, Kazunori D. Yamada, Hafumi Nishi, Kengo Kinoshita

This study predicts and characterizes disorder-order transition regions in proteins using deep learning methods, finding that most transitions prefer ordered states over disordered ones.

bioRxiv · Jun 11, 2021 · PreprintBioinformatics