Aierken Dilimulati, Bachmann Michael
Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.
Omenn-Darling Bioengineering Institute, Princeton University, Princeton, NJ 08540, USA.
Phys Chem Chem Phys. 2023 Nov 15;25(44):30246-30258. doi: 10.1039/d3cp02815a.
Canonical analysis has long been the primary analysis method for studies of phase transitions. However, this approach is not sensitive enough if transition signals are too close in temperature space. The recently introduced generalized microcanonical inflection-point analysis method not only enables the systematic identification and classification of transitions in systems of any size, but it can also distinguish transitions that standard canonical analysis cannot resolve. By applying this method to a generic coarse-grained model for semiflexible polymers, we identify a mixed structural phase dominated by secondary structures such as hairpins and loops that originates from a bifurcation in the hyperspace spanned by inverse temperature and bending stiffness. This intermediate phase, which is embraced by the well-known random-coil and toroidal phases, is testimony to the necessity of balancing entropic variability and energetic stability in functional macromolecules under physiological conditions.
长期以来,正则分析一直是相变研究的主要分析方法。然而,如果转变信号在温度空间中过于接近,这种方法就不够灵敏。最近引入的广义微正则拐点分析方法不仅能够系统地识别和分类任何规模系统中的转变,还能区分标准正则分析无法解析的转变。通过将这种方法应用于半柔性聚合物的通用粗粒化模型,我们识别出一种由发夹和环等二级结构主导的混合结构相,它源自由逆温度和弯曲刚度所跨越的超空间中的一个分岔。这个中间相被著名的无规线团相和环形相所包围,证明了在生理条件下功能大分子中平衡熵变和能量稳定性的必要性。