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Automatic Rhodopsin Modeling with Multiple Protonation Microstates.

Gustavo CárdenasVincent LedentuMiquel Huix-RotllantMassimo OlivucciNicolas Ferré
Published in: The journal of physical chemistry. A (2023)
Automatic Rhodopsin Modeling (ARM) is a simulation protocol providing QM/MM models of rhodopsins capable of reproducing experimental electronic absorption and emission trends. Currently, ARM is restricted to a single protonation microstate for each rhodopsin model. Herein, we incorporate an extension of the minimal electrostatic model (MEM) into the ARM protocol to account for all relevant protonation microstates at a given pH. The new ARM+MEM protocol determines the most important microstates contributing to the description of the absorption spectrum. As a test case, we have applied this methodology to simulate the pH-dependent absorption spectrum of a toy model, showing that the single-microstate picture breaks down at certain pH values. Subsequently, we applied ARM+MEM to Anabaena sensory rhodopsin, confirming an improved description of its absorption spectrum when the titration of several key residues is considered.
Keyphrases
  • randomized controlled trial
  • machine learning
  • deep learning
  • molecular dynamics simulations