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Selection of target-binding proteins from the information of weakly enriched phage display libraries by deep sequencing and machine learning

Tomoyuki Itoa Department of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Sendai, JapanView further author information
,
Thuy Duong Nguyenb Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, JapanView further author information
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Yutaka Saitob Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan;c AIST-Waseda University Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), Tokyo, Japan;d Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan;e Center for Advanced Intelligence Project, RIKEN, Tokyo, JapanView further author information
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Yoichi Kurumidab Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, JapanView further author information
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Hikaru Nakazawaa Department of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Sendai, JapanView further author information
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Sakiya Kawadaa Department of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Sendai, JapanView further author information
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Hafumi Nishif Department of Applied Information Sciences, Graduate School of Information Sciences, Tohoku University, Sendai, Japan;g Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan;h Faculty of Core Research, Ochanomizu University, Tokyo, JapanView further author information
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Koji Tsudad Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan;e Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan;i Research and Services Division of Materials Data and Integrated Systems, National Institute for Materials Science, Tsukuba, JapanView further author information
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Tomoshi Kamedab Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan;e Center for Advanced Intelligence Project, RIKEN, Tokyo, JapanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-9508-5366View further author information
ORCID Icon &
Mitsuo Umetsua Department of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Sendai, Japan;e Center for Advanced Intelligence Project, RIKEN, Tokyo, JapanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4390-0263View further author information
ORCID Icon show all
Article: 2168470 | Received 24 Jul 2022, Accepted 10 Jan 2023, Published online: 22 Jan 2023

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