随机,de novo和保守的蛋白质:结构和疾病预测器的表现如何不同
Lasse Middendorf1, Lars A Eicholt1
1Institute for Evolution and Biodiversity, University of Muenster, Muenster, Germany.
Proteins
|January 16, 2024
概括
像AlphaFold2这样的蛋白质结构预测工具显示了de novo和随机蛋白质的限制. 观察到障碍和信心分数之间的正相关性,与保存的蛋白质不同,突出了实验验证的需要.
科学领域:
- 结构生物学 结构生物学
- 计算生物学 计算生物学
- 蛋白质科学 蛋白质科学
背景情况:
- 了解新的和随机的蛋白质结构是蛋白质进化和酶设计的关键.
- 对这些新型蛋白质类型来说,实验性结构确定是具有挑战性的.
- 像AlphaFold2 (AF2) 这样的蛋白质结构预测工具的进步提供了潜力,但它们对de novo/随机蛋白质的实用性尚不清楚.
研究的目的:
- 评估AlphaFold2 (AF2) 和ESMFold对新生和随机蛋白的预测的准确性和可靠性.
- 为了比较de novo/随机蛋白和保存蛋白之间的结构预测和信心评分.
- 研究不同类型的蛋白质中蛋白质障碍和预测信心 (pLDDT) 之间的关系.
主要方法:
- 利用AlphaFold2 (AF2) 和ESMFold来预测Drosophila的新生,随机和保存蛋白质的结构.
- 分析预测信心得分 (pLDDT) 和预测障碍.
- 相关的pLDDT与蛋白质集中的预测障碍和序列相同性.
主要成果:
- 对于de novo和随机蛋白质的结构预测与保存蛋白质有显著差异.
- 在 de novo/随机蛋白质中发现预测疾病和pLDDT之间的正相关性,与保存蛋白质形成鲜明对比.
- 由于序列相同性较低,de novo/随机蛋白的预测器性能降低了;序列长度影响了随机蛋白中的疾病预测.
结论:
- 目前的结构预测工具提供了初步见解,但对de novo和随机蛋白质的准确性和适用性有限.
- 实验性结构确定对于完全了解de novo和随机蛋白质结构至关重要.
- 观察到的疾病和PLDDT之间的正相关性表明,在de novo/随机蛋白中可能存在条件折叠和短暂相互作用.
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