Kim Seung Joong, Dumont Charles, Gruebele Martin
Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
Biophys J. 2008 Jun;94(12):4924-31. doi: 10.1529/biophysj.107.123240. Epub 2008 Mar 7.
We present a new method for computing interaction potentials of solvated proteins directly from small-angle x-ray scattering data. An ensemble of proteins is modeled by Monte Carlo or molecular dynamics simulation. The global x-ray scattering of the whole model ensemble is then computed at each snapshot of the simulation, and averaged to obtain the x-ray scattering intensity. Finally, the interaction potential parameters are adjusted by an optimization algorithm, and the procedure is iterated until the best agreement between simulation and experiment is obtained. This new approach obviates the need for approximations that must be made in simplified analytical models. We apply the method to lambda repressor fragment 6-85 and fyn-SH3. With the increased availability of fast computer clusters, Monte Carlo and molecular dynamics analysis using residue-level or even atomistic potentials may soon become feasible.
我们提出了一种直接从小角X射线散射数据计算溶剂化蛋白质相互作用势的新方法。通过蒙特卡罗或分子动力学模拟对蛋白质集合进行建模。然后在模拟的每个快照处计算整个模型集合的全局X射线散射,并进行平均以获得X射线散射强度。最后,通过优化算法调整相互作用势参数,并迭代该过程,直到模拟与实验之间获得最佳一致性。这种新方法避免了在简化分析模型中必须进行的近似。我们将该方法应用于λ阻遏物片段6-85和fyn-SH3。随着快速计算机集群可用性的提高,使用残基水平甚至原子势的蒙特卡罗和分子动力学分析可能很快变得可行。