Literature DB >> 24296754

Dynamic combinatorial/covalent chemistry: a tool to read, generate and modulate the bioactivity of compounds and compound mixtures.

Andreas Herrmann1.   

Abstract

Reversible covalent bond formation under thermodynamic control adds reactivity to self-assembled supramolecular systems, and is therefore an ideal tool to assess complexity of chemical and biological systems. Dynamic combinatorial/covalent chemistry (DCC) has been used to read structural information by selectively assembling receptors with the optimum molecular fit around a given template from a mixture of reversibly reacting building blocks. This technique allows access to efficient sensing devices and the generation of new biomolecules, such as small molecule receptor binders for drug discovery, but also larger biomimetic polymers and macromolecules with particular three-dimensional structural architectures. Adding a kinetic factor to a thermodynamically controlled equilibrium results in dynamic resolution and in self-sorting and self-replicating systems, all of which are of major importance in biological systems. Furthermore, the temporary modification of bioactive compounds by reversible combinatorial/covalent derivatisation allows control of their release and facilitates their transport across amphiphilic self-assembled systems such as artificial membranes or cell walls. The goal of this review is to give a conceptual overview of how the impact of DCC on supramolecular assemblies at different levels can allow us to understand, predict and modulate the complexity of biological systems.

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Year:  2014        PMID: 24296754     DOI: 10.1039/c3cs60336a

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  43 in total

1.  Consecutive feedback-driven constitutional dynamic networks.

Authors:  Liang Yue; Shan Wang; Verena Wulf; Sivan Lilienthal; Françoise Remacle; R D Levine; Itamar Willner
Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-06       Impact factor: 11.205

2.  Hydrazone bond-oriented molecularly imprinted nanocomposites for the selective separation of protein via the well-defined recognition sites.

Authors:  Le Sheng; Yulong Jin; Huiqing Hou; Yanyan Huang; Rui Zhao
Journal:  Mikrochim Acta       Date:  2022-06-08       Impact factor: 5.833

3.  Discovery of a Biologically Active Bromodomain Inhibitor by Target-Directed Dynamic Combinatorial Chemistry.

Authors:  Paula García; Victoria L Alonso; Esteban Serra; Andrea M Escalante; Ricardo L E Furlan
Journal:  ACS Med Chem Lett       Date:  2018-09-11       Impact factor: 4.345

Review 4.  Enzymatic Noncovalent Synthesis.

Authors:  Hongjian He; Weiyi Tan; Jiaqi Guo; Meihui Yi; Adrianna N Shy; Bing Xu
Journal:  Chem Rev       Date:  2020-08-19       Impact factor: 60.622

5.  trans-Symmetric Dynamic Covalent Systems: Connected Transamination and Transimination Reactions.

Authors:  Fredrik Schaufelberger; Lei Hu; Olof Ramström
Journal:  Chemistry       Date:  2015-06-03       Impact factor: 5.236

6.  Self-assembly of dynamic orthoester cryptates.

Authors:  René-Chris Brachvogel; Frank Hampel; Max von Delius
Journal:  Nat Commun       Date:  2015-05-22       Impact factor: 14.919

7.  Dynamic covalent organocatalysts discovered from catalytic systems through rapid deconvolution screening.

Authors:  Fredrik Schaufelberger; Olof Ramström
Journal:  Chemistry       Date:  2015-07-14       Impact factor: 5.236

8.  Generation of a Multicomponent Library of Disulfide Donor-Acceptor Architectures Using Dynamic Combinatorial Chemistry.

Authors:  Wojciech Drożdż; Michał Kołodziejski; Grzegorz Markiewicz; Anna Jenczak; Artur R Stefankiewicz
Journal:  Int J Mol Sci       Date:  2015-07-17       Impact factor: 5.923

9.  A dynamic combinatorial approach for identifying side groups that stabilize DNA-templated supramolecular self-assemblies.

Authors:  Delphine Paolantoni; Sonia Cantel; Pascal Dumy; Sébastien Ulrich
Journal:  Int J Mol Sci       Date:  2015-02-06       Impact factor: 5.923

10.  Integration of photocatalytic and dark-operating catalytic biomimetic transformations through DNA-based constitutional dynamic networks.

Authors:  Chen Wang; Michael P O'Hagan; Ehud Neumann; Rachel Nechushtai; Itamar Willner
Journal:  Nat Commun       Date:  2021-07-09       Impact factor: 14.919

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