2022
DOI: 10.1021/acscentsci.1c01041
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Mega-High-Throughput Screening Platform for the Discovery of Biologically Relevant Sequence-Defined Non-Natural Polymers

Abstract: 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 … Show more

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Cited by 4 publications
(2 citation statements)
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References 66 publications
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“…Preparing libraries exceeding a few million members using large beads was impractical, as it would have required excessive amounts of solid phase resin. The sensitivity of modern mass spectrometry, however, now enables the identification of peptide quantities of ∼1 fmol, allowing for the use of ultrahigh diversity libraries, prepared on smaller resin beads. ,, …”
Section: Essential Technology Features For As–ms/ms Discovery Workflowsmentioning
confidence: 99%
See 1 more Smart Citation
“…Preparing libraries exceeding a few million members using large beads was impractical, as it would have required excessive amounts of solid phase resin. The sensitivity of modern mass spectrometry, however, now enables the identification of peptide quantities of ∼1 fmol, allowing for the use of ultrahigh diversity libraries, prepared on smaller resin beads. ,, …”
Section: Essential Technology Features For As–ms/ms Discovery Workflowsmentioning
confidence: 99%
“…Avital-Shmilovici et al developed an alternative bead-based selection platform for synthetic peptidomimetic libraries with up to one billion members . They used used fiber-optic array scanning technology (FAST), a technology initially developed for cancer diagnostics, as a bead sorting methodology.…”
Section: Success Stories Of Hit Discovery With As–ms/msmentioning
confidence: 99%