Protein biophysical properties that correlate with crystallization success in Thermotoga maritima:: Maximum clustering strategy for structural genomics
Protein biophysical properties that correlate with crystallization success in Thermotoga maritima:: Maximum clustering strategy for structural genomics
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DOI：
10.1016/j.jmb.2004.09.076
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发表时间：
2004-12-03
影响因子：
5.6
通讯作者：
Stevens, RC
中科院分区：
文献类型：
--
作者：
Canaves, JM;Page, R;Stevens, RC
成本和时间的减少是蛋白质结晶和后续结构确定新策略发展的两个驱动力。在这里，我们报告了对Thermotoga maritima蛋白质组的分析，在这个分析中，我们比较了成功表达、纯化和结晶的蛋白质与蛋白质组的其余部分。这组近500种蛋白质是现有的最大的、内部一致的蛋白质表达和结晶数据集之一。分析表明，结晶蛋白的等电点、序列长度、平均亲水性、低复杂性区域(SEG)以及这些生物物理性质的组合等单独的参数定义了T.maritinia蛋白质组的一个独特的子集。然后，使用表达/结晶集中各种生物物理性质的分布概况来提取规则，以改进目标选择并提高结构基因组学以及一般结构生物学工作的效率和产出。(C)2004爱思唯尔有限公司。保留所有权利。
Cost and time reduction are two of the driving forces in the development of new strategies for protein crystallization and subsequent structure determination. Here, we report the analysis of the Thermotoga maritima proteome, in which we compare the proteins that were successfully expressed, purified and crystallized versus the rest of the proteome. This set of almost 500 proteins represents one of the largest, internally consistent, protein expression and crystallization datasets available. The analysis shows that individual parameters, such as isoelectric point, sequence length, average hydropathy, low complexity regions (SEG), and combinations of these biophysical properties for crystallized proteins define a distinct subset of the T. maritinia proteome. The distribution profiles of the various biophysical properties in the expression/ crystallization set are then used to extract rules to improve target selection and improve the efficiency and output of structural genomics, as well as general structural biology efforts. (C) 2004 Elsevier Ltd. All rights reserved.