Division of Applied Mathematics, Brown University, Providence, Rhode Island.
Biophys J. 2021 Oct 5;120(19):4252-4263. doi: 10.1016/j.bpj.2021.06.028. Epub 2021 Jun 30.
An interplay between algorithmic and mechanistic viewpoints is necessary to quantify the rates of transition between different states in developmental pathways. An ab initio method that uses only information theory and geometry to model the conformational entropy of linkages is discussed. This approach also reveals some ties between biological questions and the foundations of mathematics.
为了量化发育途径中不同状态之间的转变速率，需要在算法和机械观点之间进行相互作用。本文讨论了一种仅使用信息论和几何来模拟键的构象熵的从头计算方法。该方法还揭示了一些生物学问题与数学基础之间的联系。
