Kussell E, Shimada J, Shakhnovich E I
Department of Biophysics, Harvard University, 240 Longwood Ave., Boston, MA, 02115 USA.
J Mol Biol. 2001 Aug 3;311(1):183-93. doi: 10.1006/jmbi.2001.4846.
The excluded volume occupied by protein side-chains and the requirement of high packing density in the protein interior should severely limit the number of side-chain conformations compatible with a given native backbone. To examine the relationship between side-chain geometry and side-chain packing, we use an all-atom Monte Carlo simulation to sample the large space of side-chain conformations. We study three models of excluded volume and use umbrella sampling to effectively explore the entire space. We find that while excluded volume constraints reduce the size of conformational space by many orders of magnitude, the number of allowed conformations is still large. An average repacked conformation has 20 % of its chi angles in a non-native state, a marked reduction from the expected 67 % in the absence of excluded volume. Interestingly, well-packed conformations with up to 50 % non-native chi angles exist. The repacked conformations have native packing density as measured by a standard Voronoi procedure. Entropy is distributed non-uniformly over positions, and we partially explain the observed distribution using rotamer probabilities derived from the Protein Data Bank database. In several cases, native rotamers that occur infrequently in the database are seen with high probability in our simulation, indicating that sequence-specific excluded volume interactions can stabilize rotamers that are rare for a given backbone. In spite of our finding that 65 % of the native rotamers and 85 % of chi(1) angles can be predicted correctly on the basis of excluded volume only, 95 % of positions can accommodate more than one rotamer in simulation. We estimate that, in order to quench the side-chain entropy observed in the presence of excluded volume interactions, other interactions (hydrophobic, polar, electrostatic) must provide an additional stabilization of at least 0.6 kT per residue in order to single out the native state.
蛋白质侧链占据的排除体积以及蛋白质内部对高堆积密度的要求,应会严重限制与给定天然主链兼容的侧链构象数量。为了研究侧链几何结构与侧链堆积之间的关系,我们使用全原子蒙特卡罗模拟对侧链构象的大空间进行采样。我们研究了三种排除体积模型,并使用伞形采样有效地探索整个空间。我们发现,虽然排除体积约束将构象空间的大小减小了多个数量级,但允许的构象数量仍然很大。平均重新堆积的构象有20%的χ角处于非天然状态,与不存在排除体积时预期的67%相比有显著降低。有趣的是,存在高达50%非天然χ角的紧密堆积构象。重新堆积的构象具有通过标准Voronoi程序测量的天然堆积密度。熵在位置上分布不均匀,我们使用从蛋白质数据库中导出的旋转异构体概率部分解释了观察到的分布。在几种情况下,在数据库中不常出现的天然旋转异构体在我们的模拟中出现的概率很高,这表明序列特异性排除体积相互作用可以稳定对于给定主链来说罕见的旋转异构体。尽管我们发现仅基于排除体积就可以正确预测65%的天然旋转异构体和85%的χ(1)角,但在模拟中95%的位置可以容纳不止一种旋转异构体。我们估计,为了消除在存在排除体积相互作用时观察到的侧链熵,其他相互作用(疏水、极性、静电)必须为每个残基提供至少0.6 kT的额外稳定性,以便挑选出天然状态。