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Mega-High-Throughput Screening Platform for the Discovery of Biologically Relevant Sequence-Defined Non-Natural Polymers

[Image: see text] Combinatorial methods enable the synthesis of chemical libraries on scales of millions to billions of compounds, but the ability to efficiently screen and sequence such large libraries has remained a major bottleneck for molecular discovery. We developed a novel technology for scre...

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Autores principales: Avital-Shmilovici, Michal, Liu, Xiaohe, Shaler, Thomas, Lowenthal, Andrew, Bourbon, Pauline, Snider, Janey, Tambo-Ong, Arlyn, Repellin, Claire, Yniguez, Kenya, Sambucetti, Lidia, Madrid, Peter B., Collins, Nathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796305/
https://www.ncbi.nlm.nih.gov/pubmed/35106376
http://dx.doi.org/10.1021/acscentsci.1c01041
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author Avital-Shmilovici, Michal
Liu, Xiaohe
Shaler, Thomas
Lowenthal, Andrew
Bourbon, Pauline
Snider, Janey
Tambo-Ong, Arlyn
Repellin, Claire
Yniguez, Kenya
Sambucetti, Lidia
Madrid, Peter B.
Collins, Nathan
author_facet Avital-Shmilovici, Michal
Liu, Xiaohe
Shaler, Thomas
Lowenthal, Andrew
Bourbon, Pauline
Snider, Janey
Tambo-Ong, Arlyn
Repellin, Claire
Yniguez, Kenya
Sambucetti, Lidia
Madrid, Peter B.
Collins, Nathan
author_sort Avital-Shmilovici, Michal
collection PubMed
description [Image: see text] Combinatorial methods enable the synthesis of chemical libraries on scales of millions to billions of compounds, but the ability to efficiently screen and sequence such large libraries has remained a major bottleneck for molecular discovery. We developed a novel technology for screening and sequencing libraries of synthetic molecules of up to a billion compounds in size. This platform utilizes the fiber-optic array scanning technology (FAST) to screen bead-based libraries of synthetic compounds at a rate of 5 million compounds per minute (∼83 000 Hz). This ultra-high-throughput screening platform has been used to screen libraries of synthetic “self-readable” non-natural polymers that can be sequenced at the femtomole scale by chemical fragmentation and high-resolution mass spectrometry. The versatility and throughput of the platform were demonstrated by screening two libraries of non-natural polyamide polymers with sizes of 1.77M and 1B compounds against the protein targets K-Ras, asialoglycoprotein receptor 1 (ASGPR), IL-6, IL-6 receptor (IL-6R), and TNFα. Hits with low nanomolar binding affinities were found against all targets, including competitive inhibitors of K-Ras binding to Raf and functionally active uptake ligands for ASGPR facilitating intracellular delivery of a nonglycan ligand.
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spelling pubmed-87963052022-01-31 Mega-High-Throughput Screening Platform for the Discovery of Biologically Relevant Sequence-Defined Non-Natural Polymers Avital-Shmilovici, Michal Liu, Xiaohe Shaler, Thomas Lowenthal, Andrew Bourbon, Pauline Snider, Janey Tambo-Ong, Arlyn Repellin, Claire Yniguez, Kenya Sambucetti, Lidia Madrid, Peter B. Collins, Nathan ACS Cent Sci [Image: see text] Combinatorial methods enable the synthesis of chemical libraries on scales of millions to billions of compounds, but the ability to efficiently screen and sequence such large libraries has remained a major bottleneck for molecular discovery. We developed a novel technology for screening and sequencing libraries of synthetic molecules of up to a billion compounds in size. This platform utilizes the fiber-optic array scanning technology (FAST) to screen bead-based libraries of synthetic compounds at a rate of 5 million compounds per minute (∼83 000 Hz). This ultra-high-throughput screening platform has been used to screen libraries of synthetic “self-readable” non-natural polymers that can be sequenced at the femtomole scale by chemical fragmentation and high-resolution mass spectrometry. The versatility and throughput of the platform were demonstrated by screening two libraries of non-natural polyamide polymers with sizes of 1.77M and 1B compounds against the protein targets K-Ras, asialoglycoprotein receptor 1 (ASGPR), IL-6, IL-6 receptor (IL-6R), and TNFα. Hits with low nanomolar binding affinities were found against all targets, including competitive inhibitors of K-Ras binding to Raf and functionally active uptake ligands for ASGPR facilitating intracellular delivery of a nonglycan ligand. American Chemical Society 2022-01-11 2022-01-26 /pmc/articles/PMC8796305/ /pubmed/35106376 http://dx.doi.org/10.1021/acscentsci.1c01041 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Avital-Shmilovici, Michal
Liu, Xiaohe
Shaler, Thomas
Lowenthal, Andrew
Bourbon, Pauline
Snider, Janey
Tambo-Ong, Arlyn
Repellin, Claire
Yniguez, Kenya
Sambucetti, Lidia
Madrid, Peter B.
Collins, Nathan
Mega-High-Throughput Screening Platform for the Discovery of Biologically Relevant Sequence-Defined Non-Natural Polymers
title Mega-High-Throughput Screening Platform for the Discovery of Biologically Relevant Sequence-Defined Non-Natural Polymers
title_full Mega-High-Throughput Screening Platform for the Discovery of Biologically Relevant Sequence-Defined Non-Natural Polymers
title_fullStr Mega-High-Throughput Screening Platform for the Discovery of Biologically Relevant Sequence-Defined Non-Natural Polymers
title_full_unstemmed Mega-High-Throughput Screening Platform for the Discovery of Biologically Relevant Sequence-Defined Non-Natural Polymers
title_short Mega-High-Throughput Screening Platform for the Discovery of Biologically Relevant Sequence-Defined Non-Natural Polymers
title_sort mega-high-throughput screening platform for the discovery of biologically relevant sequence-defined non-natural polymers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796305/
https://www.ncbi.nlm.nih.gov/pubmed/35106376
http://dx.doi.org/10.1021/acscentsci.1c01041
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