首页> Cell reports methods> Toward real-world automated antibody design with combinatorial Bayesian optimization.

Toward real-world automated antibody design with combinatorial Bayesian optimization.

导出 LinkOut

翻译打印收藏纠错

第一作者： Asif,Khan

第一单位： School of Informatics, University of Edinburgh, Edinburgh EH8 9YL, UK.

作者： Asif,Khan ^[1] ; Alexander I,Cowen-Rivers ^[2] ; Antoine,Grosnit ^[3] ; Derrick-Goh-Xin,Deik ^[3] ; Philippe A,Robert ^[4] ; Victor,Greiff ^[4] ; Eva,Smorodina ^[4] ; Puneet,Rawat ^[4] ; Rahmad,Akbar ^[4] ; Kamil,Dreczkowski ^[3] ; Rasul,Tutunov ^[3] ; Dany,Bou-Ammar ^[5] ; Jun,Wang ^[6] ; Amos,Storkey ^[1] ; Haitham,Bou-Ammar ^[6]

作者单位： School of Informatics, University of Edinburgh, Edinburgh EH8 9YL, UK. ^[1] Intelligent Autonomous Systems, Technische Universität Darmstadt, Darmstadt 64289, Germany. ^[2] Huawei Noah's Ark Lab, London N1C 4AG, UK. ^[3] Department of Immunology, University of Oslo and Oslo University Hospital, Oslo 0315, Norway. ^[4] American University of Beirut Medical Centre, Beirut 11-0236, Lebanon. ^[5] Huawei Noah's Ark Lab, London N1C 4AG, UK.;University College London, London WC1E 6BT, UK. ^[6]

关键词 Bayesian optimization Gaussian processes combinatorial Bayesian optimization computational antibody design machine learning protein engineering structural biology

医学主题词贝叶斯定理(Bayes Theorem);抗体(Antibodies);互补决定区(Complementarity Determining Regions);免疫球蛋白重链(Immunoglobulin Heavy Chains);抗原(Antigens)

DOI 10.1016/j.crmeth.2022.100374

PMID 36814835

发布时间 2024-09-12

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交