ArticleBriefings in bioinformatics2024
Diffusion model assisted designing self-assembling collagen mimetic peptides as biocompatible materials.
Article in Briefings in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
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Who cites it
3 citing papers in PubMed.
- Efficient expression of full-length triple-helix recombinant type III collagen inSynthetic and systems biotechnology · 2027Article
- Recombinant collagen in regenerative medicine: Expression strategies, structural design, and translational applications.Materials today. Bio · 2025Review
- Discovering novel type I collagen fragments from Cyprinus carpio supporting bone regeneration.Functional & integrative genomics · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Collagen self-assembly supports its mechanical function, but controlling collagen mimetic peptides (CMPs) to self-assemble into higher-order oligomers with numerous functions remains challenging due to the vast potential amino acid sequence space. Herein, we developed a diffusion model to learn features from different types of human collagens and generate CMPs; obtaining 66% of synthetic CMPs could self-assemble into triple helices. Triple-helical and untwisting states were probed by melting temperature (Tm); hence, we developed a model to predict collagen Tm, achieving a state-of-art Pearson's correlation (PC) of 0.95 by cross-validation and a PC of 0.8 for predicting Tm values of synthetic CMPs. Our chemically synthesized short CMPs and recombinantly expressed long CMPs could self-assemble, with the lowest requirement for hydrogel formation at a concentration of 0.08% (w/v). Five CMPs could promote osteoblast differentiation. Our results demonstrated the potential for using computer-aided methods to design functional self-assembling CMPs.
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Registered trials
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