多站点λ-动力学用于蛋白质-DNA结合亲和力预测
Carmen Al Masri1, Jonah Z Vilseck2, Jin Yu3
1Department of Physics and Astronomy, Uninversity of California, Irvine, California 92697, United States.
Journal of chemical theory and computation
|March 24, 2025
概括
这项研究表明,一种特定的λ-动力学方法可以准确地预测转录因子结合亲缘关系. 这种计算方法对于DNA结合部位的高通量选是有效的.
科学领域:
- 分子生物学分子生物学
- 计算生物学 计算生物学
- 生物物理学的生物物理.
背景情况:
- 转录因子 (TF) 是关键的蛋白质,通过结合特定的DNA序列来调节基因表达.
- TF结合的失调与各种细胞过程和疾病途径有关.
- 计算方法,如λ-动力学,正在成为预测TF-DNA结合亲缘关系的强大工具.
研究的目的:
- 评估不同 λ-动力学扰动方案的有效性,以计算结合性自由能量变化 (ΔΔG).
- 评估这些方案在预测 WRKY 转录因子 W-box 结合部位突变的影响方面的表现.
主要方法:
- 使用λ-动力学模拟计算 WRKY TF 突变的结合自由能量变化 (ΔΔG).
- 对比了各种 λ-动力学扰动方案,重点关注每个基对协议中的单个 λ.
- 将优化的协议应用于额外的W-box结合点突变.
主要成果:
- 在 λ-Dynamics 中,单一的 λ 基对协议表现出最快的收率和最高的精度.
- 为突变结合位点 (GATAAA,GGTCCG,GGACAA) 计算的 ΔΔG值成功对相对结合亲缘关系进行了排名.
- 证明了该协议能够准确预测序列变异对TF结合的影响.
结论:
- 每个基对单一 λ-Dynamics 协议是一种精确有效的方法,用于预测 TF-DNA 结合的自由能量变化.
- 这种计算方法对TF结合位点的高通量选和表征具有重大潜力.
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