Toward an official model protein system, with GFP as an exemplar.

IF 3.5 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Marc Zimmer
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引用次数: 0

Abstract

Model organisms significantly advance research because scientific communities recognize their value, develop infrastructure around them, and utilize them to address questions relevant to multiple species. I propose adopting a similar approach at the molecular level by establishing an official model protein system. This system would acknowledge five proteins that are already informally recognized as models in protein science: GFP, lysozyme, hemoglobin/myoglobin, RNase A, and bacteriorhodopsin. Formal recognition of these proteins would create standardized reporting requirements, shared benchmarks, and reference datasets, enhancing reproducibility, comparability, and educational resources. GFP serves as a prime example of this concept: it is a single-gene, genetically portable protein with a conserved structure and a measurable phenotype that effectively connects computation and experimental research. This paper identifies the criteria for model protein designation, presents a minimal reporting checklist, and outlines initial steps for implementation at the system level.

以绿色荧光蛋白为例,建立正式的蛋白质系统模型。
模式生物极大地推动了研究,因为科学界认识到它们的价值,在它们周围开发基础设施,并利用它们来解决与多物种相关的问题。我建议在分子水平上采用类似的方法,建立一个正式的模型蛋白质系统。该系统将识别已经被非正式地认为是蛋白质科学模型的五种蛋白质:绿色荧光蛋白、溶菌酶、血红蛋白/肌红蛋白、RNase A和细菌视紫红质。对这些蛋白质的正式认可将创建标准化的报告要求、共享基准和参考数据集,增强可重复性、可比性和教育资源。绿色荧光蛋白是这一概念的一个主要例子:它是一种单基因、遗传上可移植的蛋白质,具有保守的结构和可测量的表型,有效地将计算和实验研究联系起来。本文确定了模型蛋白指定的标准,提出了一个最小的报告清单,并概述了在系统级别实现的初始步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Protein Engineering Design & Selection
Protein Engineering Design & Selection 生物-生化与分子生物学
CiteScore
3.30
自引率
4.20%
发文量
14
审稿时长
6-12 weeks
期刊介绍: Protein Engineering, Design and Selection (PEDS) publishes high-quality research papers and review articles relevant to the engineering, design and selection of proteins for use in biotechnology and therapy, and for understanding the fundamental link between protein sequence, structure, dynamics, function, and evolution.
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