Source 1primary paper2022Topics in current chemistry collections
Toolkit/Automatic Rhodopsin Modeling
Automatic Rhodopsin Modeling
Also known as: ARM, ARM protocol
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
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.
Usefulness & Problems
No literature-backed usefulness or problem-fit explainer has been materialized for this record yet.
Published Workflows
Objective: Provide computational tools to study rhodopsins, including natural proteins and mutants, and support analysis of experiments and design of novel systems.
Why it works: The abstract states that the code evolved to provide reproducible, accurate, and reliable results that replicate experimental trends while remaining efficient and scalable.
study of rhodopsins including mutated variantscomputational modeling
Objective: Provide a reproducible, accurate, reliable, efficient, and scalable computational workflow for studying rhodopsins and their mutations.
Why it works: The review frames ARM's evolution as improving the underlying code so that users can obtain reproducible and reliable results while keeping resource use and runtime manageable and allowing scaling across calculations and features.
computational analysis of rhodopsinsrationalization of experimental trendsdesign support for novel rhodopsin systemsautomated computational modelingprotocol automationscalable code-based analysis
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete computational method used to design, rank, or analyze an engineered system.
Mechanisms
No mechanism tags yet.
Techniques
Computational DesignTarget processes
No target processes tagged yet.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
The ARM code is efficient in computing resources and time and is scalable in concurrent calculations and features.
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
The ARM code evolved to provide reproducible, accurate, and reliable results that replicate experimental trends.
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.
ARM is a computational protocol focused on studying natural and mutant rhodopsins.
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.
Computational methods such as ARM are used to analyze and rationalize experimental results and to drive design of novel systems in rhodopsin 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.
Approval Evidence
2 sources8 linked approval claimsfirst-pass slug automatic-rhodopsin-modeling
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.
Source:
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.
Source:
efficiency propertysupports
The ARM code is efficient in computing resources and time and is scalable in concurrent calculations and features.
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
Source:
lineagesupports
The review covers the evolution of ARM from an original semi-automatic protocol to a-ARM, Web-ARM, and PyARM.
Source:
performance propertysupports
The ARM code evolved to provide reproducible, accurate, and reliable results that replicate experimental trends.
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.
Source:
performance summarysupports
The evolved ARM code is described as reproducible, accurate, reliable, efficient in computing resources and time, and scalable in concurrent calculations and features.
Source:
scopesupports
ARM is a computational protocol intended to study natural and mutant rhodopsins.
Source:
tool scopesupports
ARM is a computational protocol focused on studying natural and mutant rhodopsins.
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.
Source:
use casesupports
Computational methods for rhodopsins are used to analyze and rationalize experimental results and to drive design of novel systems.
Source:
use casesupports
Computational methods such as ARM are used to analyze and rationalize experimental results and to drive design of novel systems in rhodopsin 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.
Source:
Comparisons
No literature-backed comparison notes have been materialized for this record yet.
Ranked Citations
- 1.