Author

Takafumi Ueki

Tokyo Institute of Technology

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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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Masahito OhueiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsCongress in Computer Science, Computer Engineering, and Applied Computing (CSCE)Peer-reviewedJul 24, 2023

Antibody Complementarity-Determining Region Sequence Design using AlphaFold2 and Binding Affinity Prediction Model

Takafumi Ueki, Masahito Ohue

This paper evaluates AlphaFold2 and binder hallucination for designing high-affinity antibodies by redesigning sequences of antigen-antibody complexes.

1 citation

protein sequencedeep learning

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