Literature DB >> 24512648

Origin of the spectral shifts among the early intermediates of the rhodopsin photocycle.

Pablo Campomanes1, Marilisa Neri, Bruno A C Horta, Ute F Röhrig, Stefano Vanni, Ivano Tavernelli, Ursula Rothlisberger.   

Abstract

A combined strategy based on the computation of absorption energies, using the ZINDO/S semiempirical method, for a statistically relevant number of thermally sampled configurations extracted from QM/MM trajectories is used to establish a one-to-one correspondence between the structures of the different early intermediates (dark, batho, BSI, lumi) involved in the initial steps of the rhodopsin photoactivation mechanism and their optical spectra. A systematic analysis of the results based on a correlation-based feature selection algorithm shows that the origin of the color shifts among these intermediates can be mainly ascribed to alterations in intrinsic properties of the chromophore structure, which are tuned by several residues located in the protein binding pocket. In addition to the expected electrostatic and dipolar effects caused by the charged residues (Glu113, Glu181) and to strong hydrogen bonding with Glu113, other interactions such as π-stacking with Ala117 and Thr118 backbone atoms, van der Waals contacts with Gly114 and Ala292, and CH/π weak interactions with Tyr268, Ala117, Thr118, and Ser186 side chains are found to make non-negligible contributions to the modulation of the color tuning among the different rhodopsin photointermediates.

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Year:  2014        PMID: 24512648     DOI: 10.1021/ja411303v

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  6 in total

1.  Low-Temperature Trapping of Photointermediates of the Rhodopsin E181Q Mutant.

Authors:  Megan N Sandberg; Jordan A Greco; Nicole L Wagner; Tabitha L Amora; Lavoisier A Ramos; Min-Hsuan Chen; Barry E Knox; Robert R Birge
Journal:  SOJ Biochem       Date:  2014

Review 2.  Quantum Mechanical and Molecular Mechanics Modeling of Membrane-Embedded Rhodopsins.

Authors:  Mikhail N Ryazantsev; Dmitrii M Nikolaev; Andrey V Struts; Michael F Brown
Journal:  J Membr Biol       Date:  2019-09-30       Impact factor: 1.843

3.  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 4.  Implications of short time scale dynamics on long time processes.

Authors:  Krystel El Hage; Sebastian Brickel; Sylvain Hermelin; Geoffrey Gaulier; Cédric Schmidt; Luigi Bonacina; Siri C van Keulen; Swarnendu Bhattacharyya; Majed Chergui; Peter Hamm; Ursula Rothlisberger; Jean-Pierre Wolf; Markus Meuwly
Journal:  Struct Dyn       Date:  2017-12-22       Impact factor: 2.920

Review 5.  Fighting Cancer with Transition Metal Complexes: From Naked DNA to Protein and Chromatin Targeting Strategies.

Authors:  Giulia Palermo; Alessandra Magistrato; Tina Riedel; Thibaud von Erlach; Curt A Davey; Paul J Dyson; Ursula Rothlisberger
Journal:  ChemMedChem       Date:  2015-12-04       Impact factor: 3.466

6.  MiMiC: Multiscale Modeling in Computational Chemistry.

Authors:  Viacheslav Bolnykh; Jógvan Magnus Haugaard Olsen; Simone Meloni; Martin P Bircher; Emiliano Ippoliti; Paolo Carloni; Ursula Rothlisberger
Journal:  Front Mol Biosci       Date:  2020-03-20
  6 in total

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