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首页> 外文期刊>Analytical chemistry >Sequence-specific retention calculator. Algorithm for peptide retention prediction in ion-pair RP-HPLC: Application to 300-and 100-angstrom pore size C18 sorbents
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Sequence-specific retention calculator. Algorithm for peptide retention prediction in ion-pair RP-HPLC: Application to 300-and 100-angstrom pore size C18 sorbents

机译:序列特定的保留计算器。离子对RP-HPLC中肽保留预测的算法:应用于300和100埃孔径的C18吸附剂

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Continued development of a new sequence-specific algorithm for peptide retention prediction in RP HPLC is reported. Our discovery of the large effect on the apparent hydrophobicity of N-terminal amino acids produced by the ion-pairing retention mechanism has led to the development of sequence-specific retention calculator (SSRCalc) algorithms. These were optimized for a set of similar to 2000 tryptic peptides confidently identified by off-line micro-HPLC-MALDI MS (MS/MS) ( 300-angstrom pore size C18 sorbent, linear water/acetonitrile gradient, and trifluoroacetic acid as ion-pairing modifier). The latest version of the algorithm takes into account amino acid composition, position of the amino acid residues (N- and C-terminal), peptide length, overall hydrophobicity, pI, nearest-neighbor effect of charged side chains ( K, R, H), and propensity to form helical structures. A correlation with R-2 similar to 0.98 was obtained for the 2000-peptide optimization set. A flexible structure for the SSRC programming code allows easy adaptation to different chromatographic conditions. This was demonstrated by adapting the algorithm ( similar to 0.98 R-2 value) for a set of similar to 2500 peptides separated on a 100-angstrom pore size C18 column. The SSRCalc algorithm has also been extensively tested for a number of real samples, providing solid support for protein identification and characterization; correlations in the range of 0.95-0.97 R-2 value have normally been observed.
机译:据报道,继续开发一种新的序列特异性算法来预测RP HPLC中的肽保留。我们对离子对保留机制产生的N末端氨基酸表观疏水性的巨大影响的发现,导致了序列特异性保留计算器(SSRCalc)算法的发展。通过离线微型HPLC-MALDI MS(MS / MS)(孔径300 C的C18吸附剂,线性水/乙腈梯度和三氟乙酸作为离子-配对修饰符)。该算法的最新版本考虑了氨基酸组成,氨基酸残基的位置(N和C端),肽长度,总疏水性,pI,带电侧链(K,R,H的最近邻效应) ),并倾向于形成螺旋结构。对于2000肽段优化集,与R-2的相关性接近0.98。 SSRC编程代码的灵活结构允许轻松适应不同的色谱条件。通过对一组在100埃孔径C18色谱柱上分离的类似于2500种肽的算法进行修改(类似于0.98 R-2值)来证明这一点。 SSRCalc算法也已经针对大量真实样品进行了广泛测试,为蛋白质的鉴定和表征提供了坚实的支持。通常观察到0.95-0.97 R-2值范围内的相关性。

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