ArticleACS central science2023
Deep Learning-Driven Library Design for the
Article in ACS central science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed, 31 citations in OpenAlex.
- A Framework for the In Vivo Production of Extensively Engineered Thiopeptides.ACS synthetic biology · 2026Article
- Protocol for in vitro chemoenzymatic synthesis of thiazole-containing macrocyclic peptides via ribosomal incorporation of thioamides.STAR protocols · 2026Article
- Repositioning the Leader Peptide in Graspetide Biosynthesis.Journal of the American Chemical Society · 2026Article
- Artificial Multidomain Ribosomally Synthesized and Post-translationally Modified Peptide Enzymes for Farnesylated Peptide Library Generation.ACS synthetic biology · 2026Article
- Discovery of Supra-Bivalent GSK3β Inhibitory Peptides Containing an ATP-Mimetic Amino Acid.Journal of the American Chemical Society · 2026Article
- Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026Review
- Ribosomal Synthesis of Topologically Defined Thioisoindole-Bridged Bicyclic Peptides.Angewandte Chemie (International ed. in English) · 2026Article
- Emerging strategies to enhance microbial natural product-based drug discovery.Current opinion in biotechnology · 2025Review
- LassoESM a tailored language model for enhanced lasso peptide property prediction.Nature communications · 2025Article
- Characterizing and engineering post-translational modifications with high-throughput cell-free expression.Nature communications · 2025Article
- Substrate recognition by a peptide-aminoacyl-tRNA ligase.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Ligand-Enabled Selective Coupling of MIDA Boronates to Dehydroalanine-Containing Peptides and Proteins.Journal of the American Chemical Society · 2025Article
- Substrate prediction for RiPP biosynthetic enzymesDigital discovery · 2025Article
- Kinetic Analysis of Cyclization by the Substrate-Tolerant Lanthipeptide Synthetase ProcM.ACS catalysis · 2024Article
- Assessing the Impact of the Leader Peptide in Protease Inhibition by the Microviridin Family of RiPPs.Biomedicines · 2024Article
- High-Throughput Discovery of Substrate Peptide Sequences for E3 Ubiquitin Ligases Using a cDNA Display Method.Chembiochem : a European journal of chemical biology · 2024Article
- Expression and Subcellular Localization of Lanthipeptides in Human Cells.ACS synthetic biology · 2024Article
- Engineering tRNAs for the Ribosomal Translation of Non-proteinogenic Monomers.Chemical reviews · 2024Review
- Genome Mining for New Enzyme Chemistry.ACS catalysis · 2024Review
- A Compact Reprogrammed Genetic Code for De Novo Discovery of Proteolytically Stable Thiopeptides.Journal of the American Chemical Society · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Broad substrate tolerance of ribosomally synthesized and post-translationally modified peptide (RiPP) biosynthetic enzymes has allowed numerous strategies for RiPP engineering. However, despite relaxed specificities, exact substrate preferences of RiPP enzymes are often difficult to pinpoint. Thus, when designing combinatorial libraries of RiPP precursors, balancing the compound diversity with the substrate fitness can be challenging. Here, we employed a deep learning model to streamline the design of mRNA display libraries. Using an
Identifiers
What OpenQuestion holds
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.