ArticleProtein science : a publication of the Protein Society2016
Simulation study of the ability of a computationally-designed peptide to recognize target tRNA
Article in Protein science : a publication of the Protein Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
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Who cites it
6 citing papers in PubMed.
- Development of Peptide Glucosyltransferase Inhibitors With Comprehensive Coverage Across Clostridioides difficile Toxin B Sub-Types.Biotechnology and bioengineering · 2026Article
- Design of 8-mer peptides that block Clostridioides difficile toxin A in intestinal cells.Communications biology · 2023Article
- Design of 8-mer Peptides that BlockbioRxiv : the preprint server for biology · 2023Article
- Sequence patterns and signatures: Computational and experimental discovery of amyloid-forming peptides.PNAS nexus · 2022Article
- Article
- Extended Concerted Rotation Technique Enhances the Sampling Efficiency of the Computational Peptide-Design Algorithm.Journal of chemical theory and computation · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we investigate the ability of our computationally-designed peptide, Pept10 (PNWNGNRWLNNCLRG), to recognize the anticodon stem and loop (ASL) domain of the hypermodified tRNA
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Registered trials
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