大多数单一性疾病是由改变蛋白质折叠自由能量的突变引起的
1Department of Physics and Astronomy, Clemson University, Clemson, SC 29634, USA.
International journal of molecular sciences
|February 24, 2024
概括
一个更新的单一性疾病数据库 (MOGEDO) 显示,大多数病原性突变会降低蛋白质的稳定性. 这一发现支持在微小分子的选中稳定突变蛋白质,有助于针对罕见遗传疾病的向药物开发.
科学领域:
- 遗传学和生物信息学
- 分子生物学分子生物学
- 药物发现 药物发现 药物发现
背景情况:
- 了解误解突变的分子影响对于治疗单一性疾病至关重要,在这些疾病中,有效的治疗方法往往缺乏.
- 通过有针对性的药物开发进行早期干预对于单一性疾病至关重要,需要具有成本效益和快速的解决方案.
研究的目的:
- 更新和扩展单基性疾病数据库 (MOGEDO) 以全面的突变数据和蛋白质分类.
- 研究突变类型,蛋白质稳定性变化 (ΔΔG) 和致病性之间的关系.
- 开发一种预测模型,以区分致病性与良性突变.
主要方法:
- 编制更新的MOGEDO数据库,包括768种蛋白质,2559种致病突变和1763种良性突变.
- 使用计算工具来预测折叠的自由能量变化 (ΔΔG) 和溶剂暴露.
- 开发一个整合ΔΔG和突变部位溶剂暴露的预测模型.
主要成果:
- 平均70%的致病突变导致蛋白质稳定性降低 (ΔΔG).
- 使用ΔΔG和溶剂暴露的预测模型在区分致病性与良性突变方面取得了高准确性.
- 疏水性-疏水性突变和特定的氨基酸变化 (Cys,Gly,Arg,Trp,Tyr) 与病原性有更强的相关性.
结论:
- 蛋白质稳定性下降是单一性疾病中致病突变的常见分子效应.
- 针对突变蛋白质的稳定小分子的in silico选是一种有希望的治疗策略.
- 开发的预测方法为病原性评估提供了更高的准确性,有助于识别引起疾病的突变.
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