How many membrane proteins are there?
How many membrane proteins are there?
复制标题
DOI：
10.1002/pro.5560070121
复制
发表时间：
1998-01-01
期刊：
影响因子：
8
通讯作者：
Beckwith, J
中科院分区：
文献类型：
--
作者：
Boyd, D;Schierle, C;Beckwith, J
功能基因组学中出现的一个基本问题是预测从基因和基因组测序中推导出的蛋白质的亚细胞位置的能力。特别是，人们希望能够容易地指定那些可溶性蛋白质和那些插入膜中的蛋白质。区分这两个位置的传统方法依赖于广泛而耗时的生物化学研究。另一种方法是根据对假定基因产物的氨基酸序列进行视觉搜索以获得疏水氨基酸片段来进行推断。这种基于序列的数值方法通常被视为在获得更可靠的生化数据之前的第一近似值。最近可用的大型和完整的序列数据集的几种生物体，使我们能够确定如何准确的数值方法可以，并试图尽量减少和量化所涉及的错误。我们优化了一种统计方法来确定蛋白质的位置。使用我们的方法，我们已经确定，令人惊讶的是，很少有蛋白质被错误分配使用的数值方法。我们还研究了这种技术的成功的生物学意义。
One of the basic issues that arises in functional genomics is the ability to predict the subcellular location of proteins that are deduced from gene and genome sequencing. In particular, one would like to be able to readily specify those proteins that are soluble and those that are inserted in a membrane. Traditional methods of distinguishing between these two locations have relied on extensive, time-consuming biochemical studies. The alternative approach has been to make inferences based on a visual search of the amino acid sequences of presumed gene products for stretches of hydrophobic amino acids. This numerical, sequence-based approach is usually seen as a first approximation pending more reliable biochemical data. The recent availability of large and complete sequence data sets for several organisms allows us to determine just how accurate such a numerical approach could be, and to attempt to minimize and quantify the error involved. We have optimized a statistical approach to protein location determination. Using our approach, we have determined that surprisingly few proteins are misallocated using the numerical method. We also examine the biological implications of the success of this technique.