Literature DB >> 27779842

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

Federico Melaccio1, María Del Carmen Marín1,2, Alessio Valentini1, Fabio Montisci1, Silvia Rinaldi1, Marco Cherubini1, Xuchun Yang2, Yoshitaka Kato3, Michael Stenrup4, Yoelvis Orozco-Gonzalez2,5,6, Nicolas Ferré4, Hoi Ling Luk2, Hideki Kandori3, Massimo Olivucci1,2,5,6.   

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.

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Year:  2016        PMID: 27779842     DOI: 10.1021/acs.jctc.6b00367

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  16 in total

1.  Fluorescence Enhancement of a Microbial Rhodopsin via Electronic Reprogramming.

Authors:  María Del Carmen Marín; Damianos Agathangelou; Yoelvis Orozco-Gonzalez; Alessio Valentini; Yoshitaka Kato; Rei Abe-Yoshizumi; Hideki Kandori; Ahreum Choi; Kwang-Hwan Jung; Stefan Haacke; Massimo Olivucci
Journal:  J Am Chem Soc       Date:  2018-12-28       Impact factor: 15.419

2.  Diversity, Mechanism, and Optogenetic Application of Light-Driven Ion Pump Rhodopsins.

Authors:  Keiichi Inoue
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

3.  Assessment of MC-PDFT Excitation Energies for a Set of QM/MM Models of Rhodopsins.

Authors:  María Del Carmen Marín; Luca De Vico; Sijia S Dong; Laura Gagliardi; Donald G Truhlar; Massimo Olivucci
Journal:  J Chem Theory Comput       Date:  2019-02-20       Impact factor: 6.006

4.  a-ARM: Automatic Rhodopsin Modeling with Chromophore Cavity Generation, Ionization State Selection, and External Counterion Placement.

Authors:  Laura Pedraza-González; Luca De Vico; Marı A Del Carmen Marı N; Francesca Fanelli; Massimo Olivucci
Journal:  J Chem Theory Comput       Date:  2019-04-12       Impact factor: 6.006

Review 5.  Rhodopsins: An Excitingly Versatile Protein Species for Research, Development and Creative Engineering.

Authors:  Willem J de Grip; Srividya Ganapathy
Journal:  Front Chem       Date:  2022-06-22       Impact factor: 5.545

6.  Multistate Multiconfiguration Quantum Chemical Computation of the Two-Photon Absorption Spectra of Bovine Rhodopsin.

Authors:  Samira Gholami; Laura Pedraza-González; Xuchun Yang; Alexander A Granovsky; Ilya N Ioffe; Massimo Olivucci
Journal:  J Phys Chem Lett       Date:  2019-10-03       Impact factor: 6.475

7.  Web-ARM: A Web-Based Interface for the Automatic Construction of QM/MM Models of Rhodopsins.

Authors:  Laura Pedraza-González; María Del Carmen Marín; Alejandro N Jorge; Tyler D Ruck; Xuchun Yang; Alessio Valentini; Massimo Olivucci; Luca De Vico
Journal:  J Chem Inf Model       Date:  2020-02-10       Impact factor: 4.956

Review 8.  Frontiers in Multiscale Modeling of Photoreceptor Proteins.

Authors:  Maria-Andrea Mroginski; Suliman Adam; Gil S Amoyal; Avishai Barnoy; Ana-Nicoleta Bondar; Veniamin A Borin; Jonathan R Church; Tatiana Domratcheva; Bernd Ensing; Francesca Fanelli; Nicolas Ferré; Ofer Filiba; Laura Pedraza-González; Ronald González; Cristina E González-Espinoza; Rajiv K Kar; Lukas Kemmler; Seung Soo Kim; Jacob Kongsted; Anna I Krylov; Yigal Lahav; Michalis Lazaratos; Qays NasserEddin; Isabelle Navizet; Alexander Nemukhin; Massimo Olivucci; Jógvan Magnus Haugaard Olsen; Alberto Pérez de Alba Ortíz; Elisa Pieri; Aditya G Rao; Young Min Rhee; Niccolò Ricardi; Saumik Sen; Ilia A Solov'yov; Luca De Vico; Tomasz A Wesolowski; Christian Wiebeler; Xuchun Yang; Igor Schapiro
Journal:  Photochem Photobiol       Date:  2021-02-13       Impact factor: 3.521

9.  A Comparative Study of Modern Homology Modeling Algorithms for Rhodopsin Structure Prediction.

Authors:  Dmitrii M Nikolaev; Andrey A Shtyrov; Maxim S Panov; Adeel Jamal; Oleg B Chakchir; Vladimir A Kochemirovsky; Massimo Olivucci; Mikhail N Ryazantsev
Journal:  ACS Omega       Date:  2018-07-09

10.  Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach.

Authors:  Masayuki Karasuyama; Keiichi Inoue; Ryoko Nakamura; Hideki Kandori; Ichiro Takeuchi
Journal:  Sci Rep       Date:  2018-10-22       Impact factor: 4.379

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