Paul Tanmoy Kumar, Taraphder Srabani
Department of Chemistry, Indian Institute of Technology Kharagpur, Kharagpur 721302, India.
J Phys Chem B. 2022 Feb 24;126(7):1413-1425. doi: 10.1021/acs.jpcb.1c08760. Epub 2022 Feb 9.
We present an in-depth study on the theoretical calculation of an optimum reaction coordinate as a linear or nonlinear combination of important collective variables (CVs) sampled from an ensemble of reactive transition paths for an intramolecular proton transfer reaction catalyzed by the enzyme human carbonic anhydrase (HCA) II. The linear models are optimized by likelihood maximization for a given number of CVs. The nonlinear models are based on an artificial neural network with the same number of CVs and optimized by minimizing the root-mean-square error in comparison to a training set of committor estimators generated for the given transition. The nonlinear reaction coordinate thus obtained yields the free energy of activation and rate constant as 9.46 kcal mol and 1.25 × 10 s, respectively. These estimates are found to be in quantitative agreement with the known experimental results. We have also used an extended autoencoder model to show that a similar analysis can be carried out using a single CV only. The resultant free energies and kinetics of the reaction slightly overestimate the experimental data. The implications of these results are discussed using a detailed microkinetic scheme of the proton transfer reaction catalyzed by HCA II.
我们对一种最佳反应坐标的理论计算进行了深入研究,该坐标是从由人类碳酸酐酶(HCA)II催化的分子内质子转移反应的反应性过渡路径集合中采样得到的重要集体变量(CV)的线性或非线性组合。对于给定数量的CV,通过似然最大化对线性模型进行优化。非线性模型基于具有相同数量CV的人工神经网络,并通过与为给定过渡生成的一组反应坐标估计值的训练集相比,最小化均方根误差来进行优化。由此获得的非线性反应坐标得出活化自由能和速率常数分别为9.46千卡/摩尔和1.25×10秒。发现这些估计值与已知的实验结果在数量上一致。我们还使用了扩展自动编码器模型来表明,仅使用单个CV也可以进行类似的分析。反应的最终自由能和动力学略微高估了实验数据。使用由HCA II催化的质子转移反应的详细微观动力学方案讨论了这些结果的含义。