我们如何能够发现可开发的抗体基生物疗法?
Joschka Bauer1,2, Nandhini Rajagopal2,3, Priyanka Gupta2,3
1Early Stage Pharmaceutical Development Biologicals, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach/Riss, Germany.
Frontiers in molecular biosciences
|August 23, 2023
概括
生物制药信息学整合了计算和实验,以克服抗体药物发现的挑战. 这种方法可以加速为患者开发安全有效的抗体治疗方法.
科学领域:
- 生物制药信息学 生物制药信息学
- 抗体 药物发现 药物发现
- 计算生物学 计算生物学
背景情况:
- 基于抗体的生物疗法是一种成功但具有挑战性的制药类.
- 这些复杂药物的研发存在重大障碍.
研究的目的:
- 提出生物制药信息学作为解决研发挑战的框架.
- 倡导在整个生物药物发现过程中整合计算和实验.
- 在发现阶段的早期考虑药物开发能力.
主要方法:
- 对抗原优化和免疫反应的计算方法的审查.
- 在体抗体序列生成和虚拟查的分析.
- 评估用于领先候选人识别和亲和力成熟的计算方法.
主要成果:
- 计算进步使得疾病概念的准确制定和目标识别成为可能.
- 新兴的计算方法促进了de novo和表位特异性抗体设计.
- 虚拟查和计算评估有助于发现和优化抗体结合剂.
结论:
- 生物制药信息学提供了克服抗体研发局限性的机会.
- 整合计算策略可以提高候选人选择和开发能力.
- 采用这种框架可以加快提供负担得起,有效的生物疗法.
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