ArticleChem2025
Rapid Generation of Hypervariable Chemical Libraries.
Article in Chem, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Development of proteome-derived cyclic peptide libraries via ortho-phthalaldehyde-assisted cyclization.iScience · 2026Article
- Affinity selection mass spectrometry screening discovers new COP1 peptide binders.RSC chemical biology · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Combinatorial peptidomimetic libraries facilitate the economical identification and refinement of lead compounds directed at diverse therapeutic targets. Further development of selection-based approaches to drug discovery utilizing such libraries is impeded, however, both by the slow pace of library generation and by the physical limitations to library diversity inherent to current methods. To overcome these barriers, we describe here the adaptation of peptide flow synthesis technology to the generation of combinatorial libraries. Using a simple and accessible semi-automated flow platform, we demonstrate methods for library synthesis including both canonical and noncanonical amino acid building blocks in a format that quickens the pace of library synthesis from days to < 1 hour per library while permitting individual library size orders of magnitude beyond current approaches up to a physical maximum of 10
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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.