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Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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SUMO:在使用多个优化参数进行的序列评估.

Andreas Evers1, Shipra Malhotra2, Wolf-Guido Bolick3

  • 1Computational Chemistry & Biologics (CCB), Merck Healthcare KGaA, Darmstadt, Germany. Andreas.Evers@merckgroup.com.

Methods in molecular biology (Clifton, N.J.)
|July 5, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种in silico方法,用于评估抗体和VHH序列的开发能力风险,超出结合亲和力. 该方法有助于通过预测特性和确定优化起点来选择治疗开发的最佳候选者.

关键词:
抗体是对抗体的一种.开发能力 开发能力人性化的人性化免疫性 免疫性 免疫性在级测序评估中.多参数优化多参数优化蛋白质工程是一种蛋白质工程.VHH (只有重链抗体的重链的可变域)

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科学领域:

  • 生物技术是生物技术.
  • 免疫学 免疫学 免疫学
  • 计算生物学 计算生物学

背景情况:

  • 从显示活动中选择有希望的抗体和VHH (重链的可变域) 序列需要评估超出绑定信号的特性.
  • 可开发性风险,序列多样性和优化复杂性对于有效的击中选择和随后的治疗开发至关重要.

研究的目的:

  • 描述一种 in silico 方法来评估抗体和 VHH 序列的可开发性.
  • 为了根据预测的可开发性质和多样性来对序列进行排序和过.
  • 通过可视化问题区域,为多参数序列优化提供理由和起点.

主要方法:

  • 开发一种in silico管道,用于对抗体和VHH序列的可开发性评估.
  • 使用计算方法预测可开发性质并评估序列多样性.
  • 实施可视化工具来突出与可开发性风险相关的序列和结构特征.

主要成果:

  • 在方法允许有效排名和过的抗体和VHH序列基于预测的developability.
  • 该方法识别和可视化潜在的有问题的序列和结构特征,有助于风险评估.
  • 该系统为序列选择提供了理由,并为优化策略提供了起点.

结论:

  • 在基开发能力评估是从查活动中选择有前途的抗体和VHH候选者的宝贵工具.
  • 这种方法通过在选择过程的早期整合可开发性标准来提高治疗性抗体开发的效率.
  • 该方法促进了抗体和VHH序列的合理,多参数优化,以改善可开发性配置.