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本文引用的文献

1
Understanding Cell Penetration of Cyclic Peptides.理解环状肽的细胞穿透性。
Chem Rev. 2019 Sep 11;119(17):10241-10287. doi: 10.1021/acs.chemrev.9b00008. Epub 2019 May 14.
2
Cell-Permeable Bicyclic Peptidyl Inhibitors against NEMO-IκB Kinase Interaction Directly from a Combinatorial Library.可透细胞膜双环肽类抑制剂通过组合文库直接作用于 NEMO-IκB 激酶相互作用
J Am Chem Soc. 2018 Sep 26;140(38):12102-12110. doi: 10.1021/jacs.8b06738. Epub 2018 Sep 11.
3
Screening one bead one compound libraries against serum using a flow cytometer: Determination of the minimum antibody concentration required for ligand discovery.使用流式细胞仪针对血清筛选一珠一化合物文库:确定配体发现所需的最低抗体浓度。
Bioorg Med Chem Lett. 2018 Sep 1;28(16):2773-2778. doi: 10.1016/j.bmcl.2018.01.033. Epub 2018 Jan 31.
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Combinatorial chemistry in drug discovery.药物研发中的组合化学。
Curr Opin Chem Biol. 2017 Jun;38:117-126. doi: 10.1016/j.cbpa.2017.03.017. Epub 2017 May 8.
5
An Integrated Microfluidic Processor for DNA-Encoded Combinatorial Library Functional Screening.用于DNA编码组合文库功能筛选的集成微流控处理器
ACS Comb Sci. 2017 Mar 13;19(3):181-192. doi: 10.1021/acscombsci.6b00192. Epub 2017 Feb 22.
6
High-throughput Identification of DNA-Encoded IgG Ligands that Distinguish Active and Latent Mycobacterium tuberculosis Infections.高通量鉴定可区分活动性和潜伏性结核分枝杆菌感染的DNA编码IgG配体。
ACS Chem Biol. 2017 Jan 20;12(1):234-243. doi: 10.1021/acschembio.6b00855. Epub 2016 Dec 13.
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Design of a Microfluidic Chip for Magnetic-Activated Sorting of One-Bead-One-Compound Libraries.用于单珠单化合物文库磁激活分选的微流控芯片设计
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A Wide-Field Fluorescence Microscope Extension for Ultrafast Screening of One-Bead One-Compound Libraries Using a Spectral Image Subtraction Approach.一种用于使用光谱图像减法方法对单珠单化合物文库进行超快速筛选的宽场荧光显微镜扩展装置。
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9
Towards vast libraries of scaffold-diverse, conformationally constrained oligomers.朝着具有支架多样性和构象约束的寡聚物的浩瀚文库发展。
Chem Commun (Camb). 2016 May 4;52(36):6038-59. doi: 10.1039/c6cc00617e. Epub 2016 Mar 21.
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hνSABR: Photochemical Dose-Response Bead Screening in Droplets.hνSABR:液滴中的光化学剂量反应微珠筛选
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基于珠粒筛选的新型药物发现技术进展。

Developments with bead-based screening for novel drug discovery.

机构信息

Department of Chemistry and Biochemistry, The Ohio State University , Columbus , OH , USA.

出版信息

Expert Opin Drug Discov. 2019 Nov;14(11):1097-1102. doi: 10.1080/17460441.2019.1647164. Epub 2019 Jul 23.

DOI:10.1080/17460441.2019.1647164
PMID:31335229
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7301614/
Abstract

: Combinatorial chemistry provides a cost-effective method for rapid discovery of drug hits/leads. The one-bead-one-compound (OBOC) library method is in principle ideally suited for this application, because it permits a large number of structurally diverse compounds to be rapidly synthesized and simultaneously screened for binding to a target of interest. However, application of OBOC libraries in drug discovery has encountered significant technical challenges. : This Special Report covers the challenges associated with first-generation OBOC libraries (difficulty in structural identification of non-peptidic hits, screening biases and high false positive rates, and poor scalability). It also covers the many strategies developed over the past two decades to overcome these challenges. : With most of the technical challenges now overcome and the advent of powerful intracellular delivery technologies, OBOC libraries of metabolically stable and conformationally rigidified molecules (macrocyclic peptides and peptidomimetics, rigidified acyclic oligomers, and D-peptides) can be routinely synthesized and screened to discover initial hits against previously undruggable targets such as intracellular protein-protein interactions. On the other hand, further developments are still needed to expand the utility of the OBOC method to non-peptidic chemical scaffolds.

摘要

组合化学为快速发现药物靶点/先导化合物提供了一种具有成本效益的方法。原则上,One-bead-one-compound (OBOC) 文库方法非常适合这种应用,因为它允许大量结构多样的化合物快速合成,并同时筛选与感兴趣的靶标结合。然而,OBOC 文库在药物发现中的应用遇到了重大的技术挑战。本特刊报道了第一代 OBOC 文库相关的挑战(难以确定非肽类命中物的结构、筛选偏差和高假阳性率、以及较差的可扩展性)。它还涵盖了过去二十年来为克服这些挑战而开发的许多策略。随着大多数技术挑战的克服和强大的细胞内递药技术的出现,代谢稳定和构象刚性化分子(大环肽和肽模拟物、刚性化非环寡聚物和 D-肽)的 OBOC 文库可以常规合成和筛选,以发现针对以前难以成药的靶标的初始命中物,如细胞内蛋白质-蛋白质相互作用。另一方面,仍需要进一步发展来扩大 OBOC 方法在非肽类化学支架中的应用。