Literature DB >> 26014116

DNA-Encoded Dynamic Combinatorial Chemical Libraries.

Francesco V Reddavide1, Weilin Lin1, Sarah Lehnert1, Yixin Zhang2.   

Abstract

Dynamic combinatorial chemistry (DCC) explores the thermodynamic equilibrium of reversible reactions. Its application in the discovery of protein binders is largely limited by difficulties in the analysis of complex reaction mixtures. DNA-encoded chemical library (DECL) technology allows the selection of binders from a mixture of up to billions of different compounds; however, experimental results often show low a signal-to-noise ratio and poor correlation between enrichment factor and binding affinity. Herein we describe the design and application of DNA-encoded dynamic combinatorial chemical libraries (EDCCLs). Our experiments have shown that the EDCCL approach can be used not only to convert monovalent binders into high-affinity bivalent binders, but also to cause remarkably enhanced enrichment of potent bivalent binders by driving their in situ synthesis. We also demonstrate the application of EDCCLs in DNA-templated chemical reactions.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  DNA-encoded chemical libraries; DNA-templated reactions; drug discovery; dynamic combinatorial chemistry; protein-ligand interactions

Mesh:

Substances:

Year:  2015        PMID: 26014116     DOI: 10.1002/anie.201501775

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  19 in total

Review 1.  DNA-encoded chemistry: enabling the deeper sampling of chemical space.

Authors:  Robert A Goodnow; Christoph E Dumelin; Anthony D Keefe
Journal:  Nat Rev Drug Discov       Date:  2016-12-09       Impact factor: 84.694

Review 2.  DNA-Encoded Chemical Libraries: A Comprehensive Review with Succesful Stories and Future Challenges.

Authors:  Adrián Gironda-Martínez; Etienne J Donckele; Florent Samain; Dario Neri
Journal:  ACS Pharmacol Transl Sci       Date:  2021-06-14

3.  What is a "DNA-Compatible" Reaction?

Authors:  Marie L Malone; Brian M Paegel
Journal:  ACS Comb Sci       Date:  2016-03-23       Impact factor: 3.784

4.  Design, preparation, and selection of DNA-encoded dynamic libraries.

Authors:  Gang Li; Wenlu Zheng; Zitian Chen; Yu Zhou; Yu Liu; Junrui Yang; Yanyi Huang; Xiaoyu Li
Journal:  Chem Sci       Date:  2015-09-11       Impact factor: 9.825

5.  Acid- and Au(i)-mediated synthesis of hexathymidine-DNA-heterocycle chimeras, an efficient entry to DNA-encoded libraries inspired by drug structures.

Authors:  Mateja Klika Škopić; Hazem Salamon; Olivia Bugain; Kathrin Jung; Anne Gohla; Lara J Doetsch; Denise Dos Santos; Avinash Bhat; Bernd Wagner; Andreas Brunschweiger
Journal:  Chem Sci       Date:  2017-02-28       Impact factor: 9.825

Review 6.  Protein-Directed Dynamic Combinatorial Chemistry: A Guide to Protein Ligand and Inhibitor Discovery.

Authors:  Renjie Huang; Ivanhoe K H Leung
Journal:  Molecules       Date:  2016-07-16       Impact factor: 4.411

7.  Versatile protein recognition by the encoded display of multiple chemical elements on a constant macrocyclic scaffold.

Authors:  Yizhou Li; Roberto De Luca; Samuele Cazzamalli; Francesca Pretto; Davor Bajic; Jörg Scheuermann; Dario Neri
Journal:  Nat Chem       Date:  2018-03-19       Impact factor: 24.427

8.  Optimized Reaction Conditions for Amide Bond Formation in DNA-Encoded Combinatorial Libraries.

Authors:  Yizhou Li; Elena Gabriele; Florent Samain; Nicholas Favalli; Filippo Sladojevich; Jörg Scheuermann; Dario Neri
Journal:  ACS Comb Sci       Date:  2016-06-23       Impact factor: 3.784

9.  Using a PCR-Based Method To Analyze and Model Large, Heterogeneous Populations of DNA.

Authors:  Helena Andrade; Alvin K Thomas; Weilin Lin; Francesco V Reddavide; Yixin Zhang
Journal:  Chembiochem       Date:  2020-01-07       Impact factor: 3.164

10.  An automated in vitro motility assay for high-throughput studies of molecular motors.

Authors:  Till Korten; Elena Tavkin; Lara Scharrel; Vandana Singh Kushwaha; Stefan Diez
Journal:  Lab Chip       Date:  2018-10-09       Impact factor: 6.799

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