Tung C S, Harvey S C
J Biol Chem. 1986 Mar 15;261(8):3700-9.
Given a specified DNA sequence and starting with an idealized conformation for the double helix (A-DNA or B-DNA), the dependence of conformational energy on variations in the local geometry of the double helix can be examined by computer modeling. By averaging over all thermally accessible states, it is possible to determine 1) how the optimum local structure differs from the initial idealized conformation and 2) the energetic costs of small structural deformations. This paper describes such a study. Tables are presented for the prediction of helix twist angles and base pair roll angles for both A-DNA and B-DNA when the sequence has been specified. Local deviations of helix parameters from their average values can accumulate to produce a net curvature of the molecule, a curvature that can be sharp enough to be experimentally detectable. As an independent check on the method, the calculations provide predictions for the longitudinal compressibility (Young's modulus) and the average torsional stiffness, both of which are in good agreement with experimental values. In examining the role of sequence-dependent variations in helix structure for the recognition of specific sequences by proteins, we have calculated the energy needed to deform the self-complementary hexanucleotide d(CAATTG) to match the local geometry of d(GAATTC), which is the sequence recognized by the EcoRI restriction endonuclease. That energy would be sufficient to reduce the binding of the incorrect sequence to the protein by over 2 orders of magnitude relative to the correct sequence.
给定一个特定的DNA序列,并从双螺旋的理想化构象(A-DNA或B-DNA)开始,双螺旋局部几何结构变化对构象能量的依赖性可以通过计算机建模来研究。通过对所有热可及状态进行平均,可以确定:1)最佳局部结构与初始理想化构象有何不同;2)小结构变形的能量代价。本文描述了这样一项研究。当序列确定后,给出了预测A-DNA和B-DNA螺旋扭转角和碱基对滚动角的表格。螺旋参数与其平均值的局部偏差可能会累积,从而产生分子的净曲率,这种曲率可能足够尖锐,以至于可以通过实验检测到。作为对该方法的独立检验,计算给出了纵向压缩性(杨氏模量)和平均扭转刚度的预测值,这两者都与实验值高度吻合。在研究螺旋结构中依赖序列的变化在蛋白质识别特定序列中的作用时,我们计算了将自我互补六核苷酸d(CAATTG)变形以匹配d(GAATTC)的局部几何结构所需的能量,d(GAATTC)是EcoRI限制性内切酶识别的序列。相对于正确序列,该能量足以将错误序列与蛋白质的结合降低超过2个数量级。