当前位置: X-MOL 学术Adv. Theory Simul. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
PResolving Structure of ssDNA in Solution by Fusing Molecular Simulations and Scattering Experiments with Machine Learning (Adv. Theory Simul. 12/2023)
Advanced Theory and Simulations ( IF 3.3 ) Pub Date : 2023-12-11 , DOI: 10.1002/adts.202370027
Thomas J. Oweida , Yaroslava G. Yingling

This study utilizes a hybrid approach, integrating experimental small-angle X-ray scatter (SAXS) data and molecular modeling via a genetic algorithm (GA) to predict the all-atom structure of single-stranded DNA (ssDNA). The research also comprehensively validates various AMBER force fields and implicit solvent models for ssDNA. The results yield the most accurate atomistic representation of poly-Thymine (polyT) in solution to date. This is reported by Thomas J. Oweida and Yaroslava G. Yingling in article 2300411.

中文翻译:


通过将分子模拟和散射实验与机器学习相融合来预解析溶液中 ssDNA 的结构(高级理论模拟。12/2023)



本研究采用混合方法,通过遗传算法 (GA) 将实验小角 X 射线散射 (SAXS) 数据和分子建模相结合,以预测单链 DNA (ssDNA) 的全原子结构。该研究还全面验证了单链DNA的各种AMBER力场和隐式溶剂模型。结果产生了迄今为止溶液中聚胸腺嘧啶 (polyT) 最准确的原子表征。 Thomas J. Oweida 和 Yaroslava G. Yingling 在文章 2300411 中对此进行了报道。
更新日期:2023-12-14
down
wechat
bug