PAbFold:使用AlphaFold2进行线性抗体表皮层预测
Jacob DeRoo1, James S Terry2, Ning Zhao3
1School of Biomedical Engineering, Colorado State University, Fort Collins CO USA.
bioRxiv : the preprint server for biology
|April 25, 2024
概括
我们开发了PAbFold,一个基于AlphaFold2的管道,仅使用蛋白质序列来准确预测线性抗体表位. 这种方法加速了表位标识,这对于理解抗体功能和开发治疗方法至关重要.
科学领域:
- 免疫学 免疫学 免疫学
- 结构生物学 结构生物学
- 生物信息学是一种生物信息学.
背景情况:
- 定义抗体结合表位对理解抗体-抗原相互作用和分子功能至关重要.
- 目前用于确定线性抗体表位的实证方法是劳动密集型,耗时且昂贵的.
研究的目的:
- 开发一个利用AlphaFold2的计算管道,以快速准确地预测线性抗体表位.
- 评估PAbFold管道识别已知和新型抗体表位的能力.
主要方法:
- 开发了PAbFold,一个使用AlphaFold2的管道来预测抗体-标蛋白复杂结构.
- 在具有不同框架的单链可变片段 (scFv) 上植入抗体互补性确定区域 (CDR).
- 验证了PAbFold对一种新的抗SARS-CoV-2核体抗体的实验预测.
主要成果:
- PAbFold准确地确定了HA和Myc目标的已知线性表位.
- 该管道成功预测了一种新型抗SARS-CoV-2核体抗体的表征.
- 方法细节,如长度和AlphaFold2版本影响预测准确性.
结论:
- 通过PAbFold管道,可以从蛋白质序列中快速准确地识别线性抗体表位.
- 这种计算方法为传统的实验方法提供了一种经济有效的替代方案.
- PAbFold对抗体研究,药物开发和诊断具有重要意义.
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Antibodies consist of four polypeptide chains: two identical heavy...
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01:10Antibody Structure
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Antibodies, also known as immunoglobulins (Ig), are essential players of the adaptive immune system. These antigen-binding proteins are produced by B cells and make up 20 percent of the total blood plasma by weight. In mammals, antibodies fall into five different classes, which each elicits a different biological response upon antigen binding.
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