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基于疏水性预测反相液相色谱中肽段的保留行为。

Prediction of peptides retention behavior in reversed-phase liquid chromatography based on their hydrophobicity.

机构信息

Department of Chemical Engineering, Imperial College London, London, UK.

出版信息

J Sep Sci. 2023 Jan;46(2):e2200743. doi: 10.1002/jssc.202200743. Epub 2022 Nov 14.

DOI:10.1002/jssc.202200743
PMID:36349538
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10098489/
Abstract

Hydrophobicity is an important physicochemical property of peptides and proteins. It is responsible for their conformational changes, stability, as well as various chemical intramolecular and intermolecular interactions. Enormous efforts have been invested to study the extent of hydrophobicity and how it could influence various biological processes, in addition to its crucial role in the separation and purification endeavor as well. Here, we have reviewed various studies that were carried out to determine the hydrophobicity starting from (i) simple amino acids solubility behavior, (ii) experimental approach that was undertaken in the reversed-phase liquid chromatography mode, and ending with (iii) some examples of more advanced computational and machine learning models.

摘要

疏水性是肽和蛋白质的重要物理化学性质。它负责它们的构象变化、稳定性以及各种化学分子内和分子间相互作用。人们投入了巨大的努力来研究疏水性的程度以及它如何影响各种生物过程,除了它在分离和纯化方面的关键作用。在这里,我们回顾了各种研究,这些研究旨在从(i)简单氨基酸的溶解度行为,(ii)在反相液相色谱模式下进行的实验方法,以及(iii)更先进的计算和机器学习模型的一些示例,来确定疏水性。

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