Sieradzan Adam K, Krupa Paweł, Scheraga Harold A, Liwo Adam, Czaplewski Cezary
Faculty of Chemistry, University of Gdańsk, Wita Stwosza 63, 80-180 Gdańsk, Poland
J Chem Theory Comput. 2015 Feb 10;11(2):817-31. doi: 10.1021/ct500736a.
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 (τ(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 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.
多肽链的联合残基(UNRES)模型是一种粗粒度模型,其中每个氨基酸残基被简化为两个相互作用位点,即位于两个相邻α碳原子(Cα)中间位置的联合肽基团(p),Cα仅作为几何点,以及连接到各自Cα上的联合侧链(SC)。由于这种简化,可以对大型系统进行毫秒级的分子动力学模拟。虽然UNRES能很好地预测整体折叠,但它在再现局部链构象细节方面的准确性较低。最近,我们实现了基于新知识的扭转势(Krupa等人,《化学理论与计算杂志》,2013年,9卷,4620 - 4632页),该扭转势取决于涉及侧链的虚拟键二面角:在UNRES力场中,Cα···Cα···Cα···SC(τ(1))、SC···Cα···Cα···Cα(τ(2))和SC···Cα···Cα···SC(τ(3))。这些势显著改善了模拟结构,尤其是在环区域。在这项工作中,我们引入了这些势的基于物理的对应物,它们是通过对末端封闭的氨基酸残基的全原子能量表面,在围绕Cα···Cα虚拟键角的角度λ(1)和λ(2)以及侧链角χ上进行玻尔兹曼积分得到的。能量表面则通过使用分子量子力学的半经验AM1方法计算得出。利用海森矩阵的谐波近似来评估熵贡献。将各自虚拟键二面角的一维傅里叶级数拟合到计算出的势上,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降低常规扭转项的权重,使用八种训练蛋白对带有新势的UNRES力场进行了基本校准。随后,使用一组在校准中未使用的22种蛋白质对该力场进行了基准测试。新势使得平均构象与各自实验结构的均方根偏差平均降低了0.86 Å;然而,对于某些蛋白质,观察到的改善高达5 Å。