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Physics-based potentials for the coupling between backbone- and side-chain-local conformational states in the united residue (UNRES) force field for protein simulations

机译:用于蛋白质模拟的联合残基(UNRES)力场中主链和侧链局部构象状态之间基于耦合的物理势

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摘要

The UNited RESidue (UNRES) model of polypeptide chains is a coarse-grained model in which each amino-acid residue is reduced to two interaction sites, namely a united peptide group (p) located halfway between the two neighboring α-carbon atoms (Cαs), which serve only as geometrical points, and a united side chain (SC) attached to the respective Cα. Owing to this simplification, millisecond Molecular Dynamics simulations of large systems can be performed. While UNRES predicts overall folds well, it reproduces the details of local chain conformation with lower accuracy. Recently, we implemented new knowledge-based torsional potentials (Krupa et. al. J. Chem. Theory Comput., >2013, 9, 4620–4632) that depend on the virtual-bond dihedral angles involving side chains: Cα ⋯ Cα ⋯ Cα ⋯ SC (τ(1)), SC ⋯ Cα ⋯ Cα ⋯ Cα(2)), and SC ⋯ Cα ⋯ Cα ⋯ SC (τ(3)) in the UNRES force field. These potentials resulted in significant improvement of the simulated structures, especially in the loop regions. In this work, we introduce the physics-based counterparts of these potentials, which we derived from the all-atom energy surfaces of terminally-blocked amino-acid residues by Boltzmann integration over the angles λ(1) and λ(2) for rotation about the Cα ⋯ Cα virtual-bond angles and over the side-chain angles χ. The energy surfaces were, in turn, calculated by using the semiempirical AM1 method of molecular quantum mechanics. Entropy contribution was evaluated with use of the harmonic approximation from Hessian matrices. One-dimensional Fourier series in the respective virtual-bond-dihedral angles were fitted to the calculated potentials, and these expressions have been implemented in the UNRES force field. Basic calibration of the UNRES force field with the new potentials was carried out with eight training proteins, by selecting the optimal weight of the new energy terms and reducing the weight of the regular torsional terms. The force field was subsequently benchmarked with with a set of 22 proteins not used in the calibration. The new potentials result in a decrease of the root-mean-square deviation of the average conformation from the respective experimental structure by 0.86 Å on average; however, improvement of up to 5 Å was observed for some proteins.
机译:多肽链的未修饰残基(UNRES)模型是一种粗粒度模型,其中每个氨基酸残基均还原为两个相互作用位点,即位于两个相邻α-碳原子(C α s)(仅用作几何点),以及连接到各个C α的统一侧链(SC)。由于这种简化,可以执行大型系统的毫秒分子动力学模拟。虽然UNRES预测整体折叠效果很好,但它以较低的精度重现了局部链构象的细节。最近,我们实现了基于知识的新扭转势(Krupa等人,J。Chem。Theory Comput。,> 2013 ,9,4,620–4632),这取决于涉及侧面的虚拟键二面角。链:C α⋯C α⋯C α⋯SC(τ(1)),SC⋯C α⋯C α⋯C α(τ(2))和SC⋯C α ⋯C α⋯SC(τ(3))在UNRES力场中。这些潜力极大地改善了模拟结构,尤其是在环路区域。在这项工作中,我们介绍了这些电势的基于物理的对应物,它们是通过在角度λ(1)上通过Boltzmann积分从末端封闭的氨基酸残基的全原子能表面得出的和λ(2)绕C α⋯C α虚拟键角和侧链角χ旋转。反过来,通过使用分子量子力学的半经验AM1方法计算能量表面。使用Hessian矩阵的谐波近似评估熵的贡献。将各个虚拟键-二面角中的一维傅里叶级数拟合到计算出的势,并且这些表达式已在UNRES力场中实现。通过选择新能量项的最佳权重并减少常规扭力项的权重,使用八个训练蛋白对具有新潜力的UNRES力场进行了基本校准。随后用一组未用于校准的22种蛋白质对力场进行基准测试。新的电位导致平均构象与相应实验结构的均方根偏差平均降低0.86Å;但是,对于某些蛋白质,观察到了高达5Å的改善。

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