Kochugaeva Maria P, Berezhkovskii Alexander M, Kolomeisky Anatoly B
Department of Chemistry and Center for Theoretical Biological Physics, Rice University , Houston, Texas 77005, United States.
Mathematical and Statistical Computing Laboratory, Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20892, United States.
J Phys Chem Lett. 2017 Sep 7;8(17):4049-4054. doi: 10.1021/acs.jpclett.7b01750. Epub 2017 Aug 15.
The starting point of many fundamental biological processes is associated with protein molecules finding and recognizing specific sites on DNA. However, despite a large number of experimental and theoretical studies on protein search for targets on DNA, many molecular aspects of underlying mechanisms are still not well understood. Experiments show that proteins bound to DNA can switch between slow recognition and fast search conformations. However, from a theoretical point of view, such conformational transitions should slow down the protein search for specific sites on DNA, in contrast to available experimental observations. In addition, experiments indicate that the nucleotide composition near the target site is more symmetrically homogeneous, leading to stronger effective interactions between proteins and DNA at these locations. However, as has been shown theoretically, this should also make the search less efficient, which is not observed. We propose a possible resolution of these problems by suggesting that conformational transitions occur only within a segment around the target where stronger interactions between proteins and DNA are observed. Two theoretical methods, based on continuum and discrete-state stochastic calculations, are developed, allowing us to obtain a comprehensive dynamic description for the protein search process in this system. The existence of an optimal length of the conformational transition zone with the shortest mean search time is predicted.
许多基本生物学过程的起点都与蛋白质分子寻找并识别DNA上的特定位点有关。然而,尽管针对蛋白质在DNA上寻找靶点进行了大量的实验和理论研究,但潜在机制的许多分子层面仍未得到充分理解。实验表明,与DNA结合的蛋白质可以在缓慢识别构象和快速搜索构象之间切换。然而,从理论角度来看,与现有的实验观察结果相反,这种构象转变应该会减缓蛋白质在DNA上寻找特定位点的速度。此外,实验表明靶点位点附近的核苷酸组成更加对称均匀,导致蛋白质与DNA在这些位置的有效相互作用更强。然而,正如理论上所表明的那样,这也应该会使搜索效率降低,但实际并未观察到这种情况。我们通过提出构象转变仅发生在靶点周围观察到蛋白质与DNA更强相互作用的片段内,来提出这些问题的一种可能解决方案。基于连续介质和离散状态随机计算开发了两种理论方法,使我们能够获得该系统中蛋白质搜索过程的全面动态描述。预测存在具有最短平均搜索时间的构象转变区的最佳长度。