Suppr超能文献

使用自动串联柱色谱法对组合文库进行基于亲和力的筛选。

Affinity-based screening of combinatorial libraries using automated, serial-column chromatography.

作者信息

Evans D M, Williams K P, McGuinness B, Tarr G, Regnier F, Afeyan N, Jindal S

机构信息

PerSeptive Biosystems, Framingham, MA 01701, USA.

出版信息

Nat Biotechnol. 1996 Apr;14(4):504-7. doi: 10.1038/nbt0496-504.

Abstract

We have developed an automated serial chromatographic technique for screening a library of compounds based upon their relative affinity for a target molecule. A "target" column containing the immobilized target molecule is set in tandem with a reversed-phase column. A combinatorial peptide library is injected onto the target column. The target-bound peptides are eluted from the first column and transferred automatically to the reversed-phase column. The target-specific peptide peaks from the reversed-phase column are identified and sequenced. Using a monoclonal antibody (3E-7) against beta-endorphin as a target, we selected a single peptide with sequence YGGFL from approximately 5800 peptides present in a combinatorial library. We demonstrated the applicability of the technology towards selection of peptides with predetermined affinity for bacterial lipopolysaccharide (LPS, endotoxin). We expect that this technology will have broad applications for high throughout screening of chemical libraries or natural product extracts.

摘要

我们开发了一种自动化串联色谱技术,用于根据化合物对目标分子的相对亲和力来筛选化合物库。一个固定有目标分子的“目标”柱与一个反相柱串联设置。将一个组合肽库注入目标柱。与目标结合的肽从第一根柱上洗脱下来,并自动转移到反相柱上。鉴定并测序来自反相柱的目标特异性肽峰。以抗β-内啡肽的单克隆抗体(3E-7)作为目标,我们从一个组合库中存在的约5800个肽中筛选出了一个序列为YGGFL的单一肽。我们证明了该技术在选择对细菌脂多糖(LPS,内毒素)具有预定亲和力的肽方面的适用性。我们预计这项技术将在化学文库或天然产物提取物的高通量筛选中具有广泛的应用。

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