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首页> 外文期刊>European journal of mass spectrometry >Accurate mass as a bioinformatic parameter in data-to-knowledge conversion: Fourier transform ion cyclotron resonance mass spectrometry for peptide de novo sequencing
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Accurate mass as a bioinformatic parameter in data-to-knowledge conversion: Fourier transform ion cyclotron resonance mass spectrometry for peptide de novo sequencing

机译:在数据到知识的转换中将精确质量作为生物信息学参数:用于肽从头测序的傅里叶变换离子回旋共振质谱

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摘要

With the availability of ultra-precise mass spectrometric biomolecular data, the accurate mass is becoming a physical quantity of high interest for bioinformatics tools and strategies. Fourier transform ion cyclotron resonance mass spectrometry with electrospray ionization or matrix-assisted laser desorption/ionization sources now allows the easy determination of amino acid composition of medium size, unknown peptides when employing combinatorial calculation of hypothetical parent and fragment ion masses. This new method, which in a second step, allows the reliable de-novo sequencing of completely unknown peptides [“composition-based sequencing (CBS)”1] appears to open a wide new field of bioanalytical investigation. It has been shown that even unspecifically cleaved proteins can be identified easily and reliably when accurate mass evaluation is combined with protein database search tools.2 It is quite clear that, while the nominal mass of a peptide has obviously no useful correlation to biomolecular structure, the accurate mass, instead, has a strong and direct correlation to structure that so far has not been exploited considerably by bionformatic tools. It has already become obvious that accurate mass evaluation is going to become a central goal for bioinformatics strategies in the near future.3–11 Strategies for extracting structural, and even functional, information out of accurate mass values of biomolecules still have to be developed. Examples and prospects of accurate mass evaluation in bioinformatics for the field of proteomics are outlined in the following.
机译:随着超精密质谱生物分子数据的可用性,精确质量正成为生物信息学工具和策略高度关注的物理量。现在,当采用假设的母体和碎片离子质量的组合计算时,采用电喷雾电离或基质辅助激光解吸/电离源的傅里叶变换离子回旋共振质谱可以轻松确定中等大小,未知肽的氨基酸组成。第二步,这种新方法可以对完全未知的肽进行可靠的从头测序[[基于成分的测序(CBS)] [1]],似乎为生物分析研究开辟了广阔的新领域。研究表明,将准确的质量评估与蛋白质数据库搜索工具结合使用时,即使非特异性裂解的蛋白质也可以轻松,可靠地鉴定出来。2很明显,虽然肽的标称质量显然与生物分子结构没有任何有用的关联,相反,精确的质量与结构有着密切而直接的关联,到目前为止,仿生学工具尚未对其进行充分利用。显而易见的是,在不久的将来,精确的质量评估将成为生物信息学策略的中心目标。3-11必须从精确的生物分子质量值中提取结构乃至功能信息的策略仍然需要开发。下文概述了蛋白质组学领域生物信息学中精确质量评估的实例和前景。

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