Open access
5,208
Views
3
CrossRef citations to date
0
Altmetric
Report
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
, 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
, Yoichi Kurumidab Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, JapanView further author information
, Hikaru Nakazawaa Department of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Sendai, JapanView further author information
, Sakiya Kawadaa Department of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Sendai, JapanView further author information
, 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
, 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
, 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]
https://orcid.org/0000-0001-9508-5366View further author information
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]
https://orcid.org/0000-0003-4390-0263View further author information
Article: 2168470
|
Received 24 Jul 2022, Accepted 10 Jan 2023, Published online: 22 Jan 2023
Reprints and Permissions
Permission is granted subject to the terms of the License under which the work was published. Permission will be required if your reuse is not covered by the terms of the License.
To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.
For more information please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.