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Updated: Jun 29, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

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Published on: March 15, 2019

使用人工智能和基于生殖系的模板设计抗原特异性抗体CDRH3序列

Toma M Marinov^1,2, Alexandra A Abu-Shmais^1,3, Alexis K Janke¹

¹Vanderbilt Vaccine Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA.

bioRxiv : the preprint server for biology

|April 2, 2024

概括

我们开发了一种人工智能技术,可以创建特定的抗体序列,绕过复杂的自然B细胞过程. 这种方法有效地产生抗体,通过创造SARS-CoV-2抗体来证明这一点.

科学领域:

免疫学免疫学免疫学
计算生物学计算生物学
生物技术是生物技术.

背景情况:

抗体特异性来自于复杂的B细胞过程,如体质突变和基因重组.
传统的抗体发现方法可能耗时且复杂.

结论:

基于人工智能的抗体序列生成为传统实验方法提供了有效的替代方案.
这项技术可以加速抗体的发现和开发.
使用人工智能模仿自然抗体生成结果为研究提供了强大的工具.

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Diversity of Antigen Receptors

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