ArticleBiopolymers2013
Exploring the structural requirements of collagen-binding peptides.
Article in Biopolymers, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 3 citations in OpenAlex.
- The importance of 3D fibre architecture in cancer and implications for biomaterial model design.Nature reviews. Cancer · 2024Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Collagen synthesis and tissue remodeling are involved in many diseases; therefore, collagen-specific binding agents have been developed to study collagen changes in various tissues. Based on a recently reported collagen binding peptide, which contains unnatural biphenylalanine (Bip) amino acid residue, constructs with various structure variations were synthesized to explore the contributions of unnatural Bip residue, conformational restrain, and amino acid sequence in collagen recognition. Their binding efficiency to collagens was evaluated in vitro using pure collagens. The results indicate that the C-terminal unnatural Bip residue, rather than the peptide sequence or conformational restrain, dominated the collagen I binding. Subsequent tissue binding study showed that the selected peptide did not offer preferential selectivity over collagen I in tissue, suggesting that a simple in vitro binding assay cannot adequately model the complex biological environment.
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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.