ArticleProceedings of the National Academy of Sciences of the United States of America2018
Xenoprotein engineering via synthetic libraries.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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Who cites it
26 citing papers in PubMed, 56 citations in OpenAlex.
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- Development of LRRC15-binding disulfide-constrained peptides for PET imaging of cancer-associated fibroblasts.Nature communications · 2026Article
- De novo discovery of bicyclic cysteine-rich peptides targeting gasdermin D.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Barcode-free hit discovery from massive libraries enabled by automated small molecule structure annotation.Nature communications · 2025Article
- The immunoregulatory role of integrins in pulmonary diseases.Frontiers in immunology · 2025Review
- Miniprotein engineering for inhibition of PD-1/PD-L1 interaction.Protein science : a publication of the Protein Society · 2024Article
- Development of an α-Klotho Recognizing High-Affinity Peptide Probe from In-Solution Enrichment.JACS Au · 2024Article
- Selection of optimised ligands by fluorescence-activated bead sorting.Chemical science · 2023Article
- Advances in Ultrahigh Throughput Hit Discovery with Tandem Mass Spectrometry Encoded Libraries.Journal of the American Chemical Society · 2023Review
- Design and Engineering of Miniproteins.ACS bio & med chem Au · 2022Review
- Integrated Design of a Membrane-Lytic Peptide-Based Intravenous Nanotherapeutic Suppresses Triple-Negative Breast Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- A Novel Peptide as a Specific and Selective Probe forBiosensors · 2022Article
- Mega-High-Throughput Screening Platform for the Discovery of Biologically Relevant Sequence-Defined Non-Natural Polymers.ACS central science · 2022Article
- Rapid de novo discovery of peptidomimetic affinity reagents for human angiotensin converting enzyme 2.Communications chemistry · 2022Article
- Automated affinity selection for rapid discovery of peptide binders.Chemical science · 2021Article
- Evolution as a Guide to DesigningInternational journal of molecular sciences · 2021Review
- General synthetic strategy for regioselective ultrafast formation of disulfide bonds in peptides and proteins.Nature communications · 2021Article
- Discovery of Nucleic Acid Binding Molecules from Combinatorial Biohybrid Nucleobase Peptide Libraries.Journal of the American Chemical Society · 2020Article
- Proteomimetic surface fragments distinguish targets by function.Chemical science · 2020Article
- Ultra-large chemical libraries for the discovery of high-affinity peptide binders.Nature communications · 2020Article
Corrections and comments
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Authors and funding
18 authors at 1 institution in 1 country.
Funding
Abstract
Chemical methods have enabled the total synthesis of protein molecules of ever-increasing size and complexity. However, methods to engineer synthetic proteins comprising noncanonical amino acids have not kept pace, even though this capability would be a distinct advantage of the total synthesis approach to protein science. In this work, we report a platform for protein engineering based on the screening of synthetic one-bead one-compound protein libraries. Screening throughput approaching that of cell surface display was achieved by a combination of magnetic bead enrichment, flow cytometry analysis of on-bead screens, and high-throughput MS/MS-based sequencing of identified active compounds. Direct screening of a synthetic protein library by these methods resulted in the de novo discovery of mirror-image miniprotein-based binders to a ∼150-kDa protein target, a task that would be difficult or impossible by other means.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.