ReviewTopics in current chemistry (Cham)2022
Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol.
Review in Topics in current chemistry (Cham), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Structural analysis of rhodopsin states in megabody complexes.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- In-silico predicted mouse melanopsins with blue spectral shifts deliver efficient subcellular signaling.Cell communication and signaling : CCS · 2024Article
- The OpenMolcasJournal of chemical theory and computation · 2023Article
- Alternative Strategy for Spectral Tuning of Flavin-Binding Fluorescent Proteins.The journal of physical chemistry. B · 2023Article
- Retinal chromophore charge delocalization and confinement explain the extreme photophysics of Neorhodopsin.Nature communications · 2022Article
- Rhodopsins: An Excitingly Versatile Protein Species for Research, Development and Creative Engineering.Frontiers in chemistry · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
In recent years, photoactive proteins such as rhodopsins have become a common target for cutting-edge research in the field of optogenetics. Alongside wet-lab research, computational methods are also developing rapidly to provide the necessary tools to analyze and rationalize experimental results and, most of all, drive the design of novel systems. The Automatic Rhodopsin Modeling (ARM) protocol is focused on providing exactly the necessary computational tools to study rhodopsins, those being either natural or resulting from mutations. The code has evolved along the years to finally provide results that are reproducible by any user, accurate and reliable so as to replicate experimental trends. Furthermore, the code is efficient in terms of necessary computing resources and time, and scalable in terms of both number of concurrent calculations as well as features. In this review, we will show how the code underlying ARM achieved each of these properties.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.