Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Channel Rhodopsins01:11

Channel Rhodopsins

2.6K
Most organisms use photoreceptors to sense and respond to light. Examples of photoreceptors include bacteriorhodopsins and bacteriophytochromes in some bacteria, phytochromes in plants, and rhodopsins in the photoreceptor cells of the vertebral retina. The light-sensitive property of these receptors is because of the bound chromophores, such as bilin in the phytochromes and retinal in the rhodopsins.
Rhodopsins belong to the family of cell surface proteins called G-protein coupled receptors,...
2.6K
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

6.6K
At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
6.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Structural insights into spectral tuning and retinal exchange in cone visual pigments.

Science (New York, N.Y.)·2026
Same author

Modeling Xanthophyll Excited States via Cost-Effective Quantum Chemistry methods and Property-Based Diabatization.

Journal of chemical theory and computation·2026
Same author

Rotor-stator repulsion and medium-induced dephasing enhance and equalise the quantum efficiency of a fluorinated photon-only rotary motor.

Nature communications·2026
Same author

Photochemistry of an Anti-Bredt Olefin through the Lens of Multistate Multireference Quantum Chemistry.

Journal of the American Chemical Society·2026
Same author

Vibronic Reorganization Suppresses Salinixanthin-to-Retinal Energy Transfer in the Freshwater Kin4B8 Xanthorhodopsin.

The journal of physical chemistry letters·2026
Same author

Correction: Structural and spectroscopic basis of excitation energy transfer in microbial rhodopsins binding xanthophylls.

Chemical science·2026

Related Experiment Video

Updated: Sep 30, 2025

A Rhodopsin Transport Assay by High-Content Imaging Analysis
12:11

A Rhodopsin Transport Assay by High-Content Imaging Analysis

Published on: January 16, 2019

6.6K

Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol.

Laura Pedraza-González1,2, Leonardo Barneschi3, Daniele Padula3

  • 1Dipartimento di Biotecnologie, Chimica e Farmacia, Università degli Studi di Siena, Via Aldo Moro 2, 53100, Siena, Italy. laura.pedraza@unisi.it.

Topics in Current Chemistry (Cham)
|March 15, 2022
PubMed
Summary
This summary is machine-generated.

The Automatic Rhodopsin Modeling (ARM) protocol offers reproducible, accurate, and efficient computational tools for studying photoactive proteins like rhodopsins. This system aids in analyzing experimental data and designing novel optogenetic systems.

Keywords:
PhotobiologyPhotochemistryPython packageQM/MMRhodopsins

More Related Videos

Author Spotlight: Unraveling Vitamin A Transport Mechanisms — Linking Liver Receptors to Vision Health Through RBPR2 and RBP4 Interactions
08:18

Author Spotlight: Unraveling Vitamin A Transport Mechanisms — Linking Liver Receptors to Vision Health Through RBPR2 and RBP4 Interactions

Published on: October 4, 2024

1.2K
Determination of Photoreceptor Cell Spectral Sensitivity in an Insect Model from In Vivo Intracellular Recordings
08:33

Determination of Photoreceptor Cell Spectral Sensitivity in an Insect Model from In Vivo Intracellular Recordings

Published on: February 26, 2016

11.6K

Related Experiment Videos

Last Updated: Sep 30, 2025

A Rhodopsin Transport Assay by High-Content Imaging Analysis
12:11

A Rhodopsin Transport Assay by High-Content Imaging Analysis

Published on: January 16, 2019

6.6K
Author Spotlight: Unraveling Vitamin A Transport Mechanisms — Linking Liver Receptors to Vision Health Through RBPR2 and RBP4 Interactions
08:18

Author Spotlight: Unraveling Vitamin A Transport Mechanisms — Linking Liver Receptors to Vision Health Through RBPR2 and RBP4 Interactions

Published on: October 4, 2024

1.2K
Determination of Photoreceptor Cell Spectral Sensitivity in an Insect Model from In Vivo Intracellular Recordings
08:33

Determination of Photoreceptor Cell Spectral Sensitivity in an Insect Model from In Vivo Intracellular Recordings

Published on: February 26, 2016

11.6K

Area of Science:

  • Optogenetics
  • Computational Biology
  • Protein Engineering

Background:

  • Photoactive proteins, particularly rhodopsins, are central to optogenetics research.
  • Computational methods are increasingly vital for analyzing and designing these systems.

Purpose of the Study:

  • To present the Automatic Rhodopsin Modeling (ARM) protocol.
  • To detail the evolution of ARM into a robust computational tool for rhodopsin research.

Main Methods:

  • Development of the Automatic Rhodopsin Modeling (ARM) protocol.
  • Focus on achieving reproducibility, accuracy, efficiency, and scalability in computational modeling.

Main Results:

  • ARM provides reproducible and accurate results that align with experimental trends.
  • The protocol is efficient in terms of computational resources and time.
  • ARM is scalable for concurrent calculations and feature expansion.

Conclusions:

  • The ARM protocol successfully delivers essential computational tools for studying natural and mutated rhodopsins.
  • ARM supports both experimental analysis and the design of novel optogenetic systems.