对力场的基准测试,以描述内在无序的R2-FUS-LC区域
Maud Chan-Yao-Chong1,2, Justin Chan1, Hidetoshi Kono3
1Molecular Modeling and Simulation (MMS) Team, Institute for Quantum Life Science, National Institutes for Quantum Science and Technology (QST), 4-9-1, Anagawa, Inage Ward, Chiba City, Chiba, 263-8555, Japan.
Scientific reports
|August 30, 2023
概括
这项研究评估了13个内在失调蛋白 (IDP) 的力场,这些蛋白质与ALS等疾病有关. 与mTIP3p水模型的c36m2021s3p力场展示了最平衡的结构生成和效率.
科学领域:
- 生物化学和分子生物学
- 计算生物学 计算生物学
- 结构生物学 结构生物学
背景情况:
- 本质性失调蛋白 (IDP) 在阿尔茨海默氏症和ALS等疾病中至关重要,通常形成粉样纤维.
- 对于模拟IDP,特别是像FUS-LC领域这样的灵活区域的力场 (FFs) 的准确性仍然是一个挑战.
- 现有的FF,开发用于球状蛋白,在应用到IDP时显示出可变的性能.
研究的目的:
- 综合评估13个不同的FF的性能,以模拟FUS-LC域的R2区域 (R2-FUS-LC),与ALS相关的IDP.
- 确定最适合的FF用于准确预测IDP的构造组合.
- 为了比较AMBER和CHARMM FFs的计算效率和形状准确性.
主要方法:
- 在R2-FUS-LC区域使用13个不同的FF进行了分子动力学模拟.
- 用多个指标来评估本地和全球蛋白质构造.
- 开发了一个综合评分系统,以提供对每个FF的绩效的整体评估.
主要成果:
- c36m2021s3p FF与mTIP3p水模型相结合,成为最平衡的水模型,产生了与实验数据相一致的多样化构造.
- 与排名最高的AMBER FF中的四个站点水模型相比,mTIP3p水模型提供了更高的计算效率.
- 珀FF往往比CHARMMFF产生更紧的结构和非本地接触,而两者都在相互接触方面扎.
结论:
- c36m2021s3p/mTIP3p组合代表了一个有前途的FF用于模拟像FUS-LC地区这样的IDP.
- 多度量评估对于准确评估灵活的IDP的FF至关重要.
- 需要进一步完善FFs,特别是为了准确地建模IDP中的间相互作用.
相关概念视频
Intrinsically Disordered Proteins
17.9K
Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...
17.9K
Conserved Binding Sites
4.2K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
4.2K


