Increasing the speed and accuracy of proteomics protocols through the development of accurate peptide retention prediction models in RP-HPLC

在过去的二十年里，质谱学(MS)和液相色谱学(LC)的发展取得了重大突破，为生物和健康科学的研究提供了前所未有的能力。我的团队的研究主要集中在开发高效液相色谱中的多肽保留预测模型，以及它们在实际蛋白质组学分析中的应用：准确的多肽保留预测将使LC-MS系统的整体分辨率和性能显著提高。我的研究计划的首要目标是开发一个多肽与疏水色谱介质相互作用的综合物理化学模型。除了代表了层析科学的重大进展外，这项研究还将有助于理解蛋白质/肽与疏水生物膜的相互作用--这是细胞生物学和生化研究中的关键过程之一。

Significant breakthroughs in development of mass-spectrometry (MS) and liquid chromatography (LC) in the past two decades now provide unprecedented capabilities for studies in biological and health sciences. My group's research has focused on the development of peptide retention prediction models in liquid chromatography, and their application to practical proteomic analysis: accurate peptide retention prediction will allow significant increase in overall resolution and performance of LC-MS systems. The overarching goal of my research program is the development of a comprehensive physico-chemical model of peptide interaction with hydrophobic chromatographic media. In addition to representing significant advances in chromatographic science, this research will also help in the understanding of protein/peptide interactions with hydrophobic biological membranes - one of the key processes in cell biology and biochemical studies.