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

被引:54
|
作者
Melaccio, Federico [1 ]
Marin, Maria del Carmen [1 ,2 ]
Valentini, Alessio [1 ]
Montisci, Fabio [1 ]
Rinaldi, Silvia [1 ]
Cherubini, Marco [1 ]
Yang, Xuchun [2 ]
Kato, Yoshitaka [3 ]
Stenrup, Michael [4 ]
Orozco-Gonzalez, Yoelvis [2 ,5 ,6 ]
Ferre, Nicolas [4 ]
Luk, Hoi Ling [2 ]
Kandori, Hideki [3 ]
Olivucci, Massimo [1 ,2 ,5 ,6 ]
机构
[1] Univ Siena, Dept Biotechnol Chem & Pharm, Via A Moro 2, I-53100 Siena, Italy
[2] Bowling Green State Univ, Dept Chem, Bowling Green, OH 43403 USA
[3] Nagoya Inst Technol, Grad Sch Engn, Dept Frontier Mat, Showa Ku, Gokiso Cho, Nagoya, Aichi, Japan
[4] Aix Marseille Univ, CNRS, ICR, F-13284 Marseille, France
[5] Univ Strasbourg, CNRS, Inst Phys & Chim Mat Strasbourg, UMR 7504, F-67034 Strasbourg, France
[6] Univ Strasbourg, USIAS Inst Etud Avancees, 5 Allee Gen Rouvillois, F-67083 Strasbourg, France
基金
美国国家科学基金会; 日本学术振兴会;
关键词
ANABAENA SENSORY RHODOPSIN; EXCITED-STATE RELAXATION; POTENTIAL-ENERGY SURFACE; RETINAL CHROMOPHORE; PERTURBATION-THEORY; CRYSTAL-STRUCTURE; PROTONATION STATE; VISUAL PIGMENTS; SPECTRAL SHIFTS; HYDROGEN-BOND;
D O I
10.1021/acs.jctc.6b00367
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
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.
引用
收藏
页码:6020 / 6034
页数:15
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