自动视紫红质建模(ARM)协议的发展

IF 7.1 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Laura Pedraza-González, Leonardo Barneschi, Daniele Padula, Luca De Vico, Massimo Olivucci
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引用次数: 6

摘要

近年来,视紫红质等光活性蛋白已成为光遗传学前沿研究的共同目标。除了湿实验室研究之外,计算方法也在迅速发展,为分析和合理化实验结果提供了必要的工具,最重要的是,推动了新系统的设计。自动视紫红质建模(ARM)协议的重点是提供必要的计算工具来研究视紫红质,无论是自然的还是由突变产生的。该代码经过多年的发展,最终提供了任何用户都可以复制的结果,准确可靠,以便复制实验趋势。此外,代码在必要的计算资源和时间方面是高效的,并且在并发计算数量和特性方面是可扩展的。在本文中,我们将展示ARM底层的代码是如何实现这些属性的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolution of the Automatic Rhodopsin Modeling (ARM) Protocol

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.

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来源期刊
Topics in Current Chemistry
Topics in Current Chemistry Chemistry-General Chemistry
CiteScore
13.70
自引率
1.20%
发文量
48
期刊介绍: Topics in Current Chemistry is a journal that presents critical reviews of present and future trends in modern chemical research. It covers all areas of chemical science, including interactions with related disciplines like biology, medicine, physics, and materials science. The articles in this journal are organized into thematic collections, offering a comprehensive perspective on emerging research to non-specialist readers in academia or industry. Each review article focuses on one aspect of the topic and provides a critical survey, placing it in the context of the collection. Selected examples highlight significant developments from the past 5 to 10 years. Instead of providing an exhaustive summary or extensive data, the articles concentrate on methodological thinking. This approach allows non-specialist readers to understand the information fully and presents the potential prospects for future developments.
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