Predicting common protein mechanisms by the light of evolution

从进化的角度预测常见的蛋白质机制

• 批准号: 7471672
• 负责人: ANDREW F NEUWALD
• 金额: $ 19.52万
• 依托单位: J. CRAIG VENTER INSTITUTE, INC.
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7471672
• 关键词: active sites; binding sites; biochemical evolution; chemical structure; classification; intermolecular interaction; mathematical model; protein folding; protein protein interaction; protein quantitation /detection; protein structure function; statistics /biometry

DESCRIPTION (provided by applicant): Certain key cellular constituents, which we term "common proteins", are highly conserved across the major divisions of life and belong to vast protein classes that have functionally diverged into many hierarchically arranged subgroups. Thus each of these proteins manifests variations on recurring structural and/or mechanistic themes. These include, for example, AAA+ ATPases, P-loop GTPases and protein kinases, which were the focus of our preliminary studies due to their biomedical significance. AAA+ ATPases are associated with hereditary spastic paraplegia and the neurologic disorders torsin dystonia, Zellweger syndrome, neonatal adrenoleukodystrophy, and infantile Refsum disease. The GTPase Ras plays a key role in cancer, and protein kinases are important cancer and diabetes drug targets. A major goal of structural biology is to understand protein mechanisms in atomic-detail within the context of the living cell. Despite remarkable progress in determining protein structures, however, many aspects of underlying protein mechanisms remain unclear. Determining these mechanisms is a daunting task that will require many carefully chosen hypotheses and experiments to sort out. Such hypotheses are not formulated in a conceptual vacuum, however, but rather are based on clues obtained from preliminary observations. The functional constraints imposed on proteins during evolution are a potential source of information in this regard, inasmuch as these are due to and thus reflect underlying mechanisms. Moreover, because natural selection imposes these constraints on the genomic sequences of living organisms within their native environments, such information lacks the artifactual biases sometimes associated with in vitro experimental systems or with in vivo cell cultures and may reveal functionally critical features that have been overlooked due to the inherent limitations of current experimental methods. Thus the broad, long-range goal of this project is to characterize the functional constraints imposed on common proteins and to thereby provide clues to their underlying mechanisms as an aid to experimental design. Over the past decade we have developed and applied statistically rigorous procedures for characterizing complex patterns of sequence conservation across and within subgroups of related proteins. Using these and other approaches this project will accomplish the following specific aims: (i) Detect and very accurately align as many sequences as possible from several common protein classes, (ii) Identify, categorize and quantify the functional constraints acting on these proteins through statistical analysis of the alignments, (iii) Identify structural and chemical features associated with these constraints, (iv) Similarly analyze proteins that functionally interact with these proteins. And (v) propose molecular mechanisms based on these analyses.

描述(申请人提供)：某些关键的细胞成分，我们称之为“共同蛋白质”，在生命的主要部分中高度保守，属于大量的蛋白质类别，在功能上已分成许多层级排列的亚群。因此，这些蛋白质中的每一个都在重复的结构和/或机制主题上表现出变化。例如，这些酶包括AAA+ATPase、P-loop GTP酶和蛋白激酶，由于它们的生物医学意义，它们是我们初步研究的重点。AAA+ATPase与遗传性痉挛截瘫、肌张力障碍、Zellweger综合征、新生儿肾上腺脑白质营养不良和婴儿Refsum病有关。GTP酶RAS在癌症中起着关键作用，而蛋白激酶是癌症和糖尿病药物的重要靶点。结构生物学的一个主要目标是在活细胞的背景下了解蛋白质的原子细节机制。然而，尽管在确定蛋白质结构方面取得了显著进展，但潜在的蛋白质机制的许多方面仍然不清楚。确定这些机制是一项艰巨的任务，需要许多精心挑选的假设和实验来理清。然而，这样的假设并不是在概念真空中提出的，而是基于从初步观察中获得的线索。在进化过程中对蛋白质施加的功能限制是这方面的一个潜在信息来源，因为这些限制是由于并因此反映了潜在的机制。此外，由于自然选择在其自然环境中对活的有机体的基因组序列施加了这些限制，这些信息缺乏有时与体外实验系统或体内细胞培养相关的人工偏见，并可能揭示由于当前实验方法的固有限制而被忽视的功能关键特征。因此，这个项目的广泛、长期的目标是表征施加在常见蛋白质上的功能限制，从而为实验设计提供潜在机制的线索。在过去的十年里，我们开发并应用了统计上严格的程序来描述相关蛋白质亚群之间和亚群内序列保守的复杂模式。利用这些和其他方法，该项目将实现以下具体目标：(I)从几个常见的蛋白质类别中检测并非常准确地比对尽可能多的序列，(Ii)通过比对的统计分析来识别、分类和量化作用于这些蛋白质的功能限制，(Iii)识别与这些限制相关的结构和化学特征，(Iv)类似地分析与这些蛋白质功能相互作用的蛋白质。以及(V)在此基础上提出分子机制。