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Predicting antibody affinity changes upon mutations by combining multiple predictors.
Kurumida, Yoichi; Saito, Yutaka; Kameda, Tomoshi.
Affiliation
  • Kurumida Y; Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 2-4-7 Aomi, Koto-ku, Tokyo, 135-0064, Japan.
  • Saito Y; Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 2-4-7 Aomi, Koto-ku, Tokyo, 135-0064, Japan.
  • Kameda T; AIST-Waseda University Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan.
Sci Rep ; 10(1): 19533, 2020 11 11.
Article in En | MEDLINE | ID: mdl-33177627
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Machine Learning / Antibody Affinity / Mutation Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country:
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Machine Learning / Antibody Affinity / Mutation Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: