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编码自组装化学文库。

Encoded self-assembling chemical libraries.

作者信息

Melkko Samu, Scheuermann Jörg, Dumelin Christoph E, Neri Dario

机构信息

Department of Chemistry and Applied Biosciences, ETH Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland.

出版信息

Nat Biotechnol. 2004 May;22(5):568-74. doi: 10.1038/nbt961. Epub 2004 Apr 18.

Abstract

The isolation of molecules capable of high-affinity and specific binding to biological targets is a central problem in chemistry, biology and pharmaceutical sciences. Here we describe the use of encoded self-assembling chemical (ESAC) libraries for the facile identification of molecules that bind macromolecular targets. ESAC technology uses libraries of organic molecules linked to individual oligonucleotides that mediate the self-assembly of the library and provide a code associated with each organic molecule. After panning ESAC libraries on the biomolecular target of interest, the 'binding code' of the selected compounds can be 'decoded' by a number of experimental techniques (e.g., hybridization on oligonucleotide microarrays). The potential of this technology was demonstrated by the affinity maturation (>40-fold) of binding molecules to human serum albumin and bovine carbonic anhydrase, leading to binders with dissociation constants in the nanomolar range.

摘要

分离能够与生物靶点进行高亲和力和特异性结合的分子是化学、生物学和制药科学中的核心问题。在此,我们描述了使用编码自组装化学(ESAC)文库来轻松鉴定与大分子靶点结合的分子。ESAC技术使用与单个寡核苷酸相连的有机分子文库,这些寡核苷酸介导文库的自组装,并提供与每个有机分子相关的编码。在用感兴趣的生物分子靶点筛选ESAC文库后,所选化合物的“结合编码”可通过多种实验技术(如在寡核苷酸微阵列上杂交)进行“解码”。该技术的潜力通过结合分子与人血清白蛋白和牛碳酸酐酶的亲和力成熟(>40倍)得到证明,从而产生解离常数在纳摩尔范围内的结合剂。

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