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AIntibody: an experimentally validated in silico antibody discovery design challenge.

作者信息

Erasmus M Frank, Spector Laura, Ferrara Fortunato, DiNiro Roberto, Pohl Thomas J, Perea-Schmittle Katheryn, Wang Wei, Tessier Peter M, Richardson Crystal, Turner Laure, Kumar Sumit, Bedinger Daniel, Sormanni Pietro, Fernández-Quintero Monica L, Ward Andrew B, Loeffler Johannes R, Swanson Olivia M, Deane Charlotte M, Raybould Matthew I J, Evers Andreas, Sellmann Carolin, Bachas Sharrol, Ruffolo Jeff, Nastri Horacio G, Ramesh Karthik, Sørensen Jesper, Croasdale-Wood Rebecca, Hijano Oliver, Leal-Lopes Camila, Shahsavarian Melody, Qiu Yu, Marcatili Paolo, Vernet Erik, Akbar Rahmad, Friedensohn Simon, Wagner Rick, Kurella Vinodh Babu, Malhotra Shipra, Kumar Satyendra, Kidger Patrick, Almagro Juan C, Furfine Eric, Stanton Marty, Graff Christilyn P, Villalba Santiago David, Tomszak Florian, Teixeira Andre A R, Hopkins Elizabeth, Dovner Molly, D'Angelo Sara, Bradbury Andrew R M

机构信息

Specifica LLC, an IQVIA business, Santa Fe, USA.

University of California, San Diego, USA.

出版信息

Nat Biotechnol. 2024 Nov;42(11):1637-1642. doi: 10.1038/s41587-024-02469-9.

DOI:10.1038/s41587-024-02469-9
PMID:39496931
Abstract
摘要

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本文引用的文献

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Best practices for machine learning in antibody discovery and development.抗体发现和开发中的机器学习最佳实践。
Drug Discov Today. 2024 Jul;29(7):104025. doi: 10.1016/j.drudis.2024.104025. Epub 2024 May 17.
2
Insights into next generation sequencing guided antibody selection strategies.下一代测序指导的抗体选择策略的见解。
Sci Rep. 2023 Oct 26;13(1):18370. doi: 10.1038/s41598-023-45538-w.
3
De novo design of protein structure and function with RFdiffusion.利用 RFdiffusion 从头设计蛋白质结构和功能。
在生成式人工智能时代如何思考智能抗体的设计:整合生物学、技术与经验。
MAbs. 2025 Dec;17(1):2490790. doi: 10.1080/19420862.2025.2490790. Epub 2025 Apr 10.
4
An integrated transcriptomic cell atlas of human neural organoids.人类神经类器官的综合转录组细胞图谱。
Nature. 2024 Nov;635(8039):690-698. doi: 10.1038/s41586-024-08172-8. Epub 2024 Nov 20.
Nature. 2023 Aug;620(7976):1089-1100. doi: 10.1038/s41586-023-06415-8. Epub 2023 Jul 11.
4
Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries.机器学习优化候选抗体产量,得到高度多样化的亚纳摩尔亲和力抗体文库。
Nat Commun. 2023 Jun 12;14(1):3454. doi: 10.1038/s41467-023-39022-2.
5
Evaluation guidelines for machine learning tools in the chemical sciences.机器学习工具在化学科学中的评价指南。
Nat Rev Chem. 2022 Jun;6(6):428-442. doi: 10.1038/s41570-022-00391-9. Epub 2022 May 24.
6
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Nat Biotechnol. 2024 Feb;42(2):275-283. doi: 10.1038/s41587-023-01763-2. Epub 2023 Apr 24.
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