Hwang Wonseok, Hyeon Changbong
Korea Institute for Advanced Study , Seoul 02455, Republic of Korea.
J Phys Chem Lett. 2018 Feb 1;9(3):513-520. doi: 10.1021/acs.jpclett.7b03197. Epub 2018 Jan 17.
An efficient molecular motor would deliver cargo to the target site at a high speed and in a punctual manner while consuming a minimal amount of energy. According to a recently formulated thermodynamic principle, referred to as the thermodynamic uncertainty relation, the travel distance of a motor and its variance are, however, constrained by the free energy being consumed. Here we use the principle underlying the uncertainty relation to quantify the transport efficiency of molecular motors for varying ATP concentration ([ATP]) and applied load (f). Our analyses of experimental data find that transport efficiencies of the motors studied here are semioptimized under the cellular condition. The efficiency is significantly deteriorated for a kinesin-1 mutant that has a longer neck-linker, which underscores the importance of molecular structure. It is remarkable to recognize that, among many possible directions for optimization, biological motors have evolved to optimize the transport efficiency in particular.
高效的分子马达能够以高速且准时的方式将货物运送到目标位点,同时消耗最少的能量。然而,根据最近提出的一个被称为热力学不确定性关系的热力学原理,马达的行进距离及其方差受到所消耗的自由能的限制。在此,我们利用不确定性关系背后的原理来量化分子马达在不同三磷酸腺苷浓度([ATP])和外加负载(f)下的运输效率。我们对实验数据的分析发现,此处所研究的马达的运输效率在细胞条件下是半优化的。对于一种颈部连接体较长的驱动蛋白-1突变体,其效率显著降低,这突出了分子结构的重要性。值得注意的是,在众多可能的优化方向中,生物马达尤其朝着优化运输效率的方向进化。