DNA-encoded chemical libraries

被引:0
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作者
Alexander L. Satz
Andreas Brunschweiger
Mark E. Flanagan
Andreas Gloger
Nils J. V. Hansen
Letian Kuai
Verena B. K. Kunig
Xiaojie Lu
Daniel Madsen
Lisa A. Marcaurelle
Carol Mulrooney
Gary O’Donovan
Sylvia Sakata
Jörg Scheuermann
机构
[1] WuXi AppTec,Faculty of Chemistry and Chemical Biology
[2] WuXi HitS,ETH Zürich, Department of Chemistry and Applied Biosciences
[3] TU Dortmund University,State Key Laboratory of Drug Research
[4] Pfizer Inc.,GlaxoSmithKline, Encoded Library Technologies, NCE Molecular Discovery
[5] Medicine Design-External Research Solutions,undefined
[6] Institute of Pharmaceutical Sciences,undefined
[7] Vipergen ApS,undefined
[8] Serengen GmbH,undefined
[9] Chinese Academy of Sciences,undefined
[10] Medicinal Science & Technology,undefined
[11] AbbVie,undefined
[12] Drug Discovery Science & Technology,undefined
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摘要
DNA-encoded chemical library (DECL) technology is used by the pharmaceutical industry to discover small molecules capable of modulating biologically relevant targets. DECL synthesis starts with an oligonucleotide that contains a chemical linker moiety, and proceeds through iterative cycles of DNA barcode elongation and chemical synthesis. DECL selections require little protein, minimal assay development and no specialized instrumentation. Parallel DECL selections can be easily conducted, making it possible to directly compare results across different conditions. The acquisition of building blocks is a large impediment when setting up a successful DECL platform. A potential solution is the sharing of building blocks between different labs, or the high-throughput parallel synthesis of novel building blocks. DNA-compatible reactions are required to join the building blocks together, and numerous academic labs have recently taken up this challenge. DECLs exist as unpurified mixtures, complicating data analysis. Machine learning may provide an improved ability to interrogate these data. DECL selections are largely limited to soluble purified proteins. However, progress has been made towards cell surface and in-cell selections. Publication guidelines are needed to better enable reproducibility; for example, the quantification of amplifiable DNA by quantitative PCR, and more complete datasets and building block lists, should be provided.
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