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迈向自动视紫红质建模,作为高通量计算光生物学的工具。

Toward Automatic Rhodopsin Modeling as a Tool for High-Throughput Computational Photobiology.

作者信息

Melaccio Federico, Del Carmen Marín María, Valentini Alessio, Montisci Fabio, Rinaldi Silvia, Cherubini Marco, Yang Xuchun, Kato Yoshitaka, Stenrup Michael, Orozco-Gonzalez Yoelvis, Ferré Nicolas, Luk Hoi Ling, Kandori Hideki, Olivucci Massimo

机构信息

Department of Biotechnology, Chemistry e Pharmacy, Università di Siena , via A. Moro 2, I-53100 Siena, Italy.

Department of Chemistry, Bowling Green State University , Bowling Green, Ohio 43403, United States.

出版信息

J Chem Theory Comput. 2016 Dec 13;12(12):6020-6034. doi: 10.1021/acs.jctc.6b00367. Epub 2016 Nov 15.

Abstract

We report on a prototype protocol for the automatic and fast construction of congruous sets of QM/MM models of rhodopsin-like photoreceptors and of their mutants. In the present implementation the information required for the construction of each model is essentially a crystallographic structure or a comparative model complemented with information on the protonation state of ionizable side chains and distributions of external counterions. Starting with such information, a model formed by a fixed environment system, a flexible cavity system, and a chromophore system is automatically generated. The results of the predicted vertical excitation energy for 27 different rhodopsins including vertebrate, invertebrate, and microbial pigments indicate that such basic models could be employed for predicting trends in spectral changes and/or correlate the spectral changes with structural variations in large sets of proteins.

摘要

我们报告了一种用于自动快速构建视紫红质样光感受器及其突变体的协调一致的QM/MM模型集的原型协议。在当前的实现中,构建每个模型所需的信息本质上是一个晶体结构或一个比较模型,并辅以关于可电离侧链的质子化状态和外部抗衡离子分布的信息。从这些信息开始,自动生成一个由固定环境系统、灵活腔系统和发色团系统组成的模型。对包括脊椎动物、无脊椎动物和微生物色素在内的27种不同视紫红质的预测垂直激发能结果表明,这样的基本模型可用于预测光谱变化趋势和/或将光谱变化与大量蛋白质的结构变化相关联。

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