ArticleChembiochem : a European journal of chemical biology2025
A Route to Design Novel Functional Peptides by Applying a Denoising Diffusional Model to mRNA Display Libraries.
Article in Chembiochem : a European journal of chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Integrating Diffusion and Liquid AI Models for Predicting Peptide Affinity from mRNA Display Selections.bioRxiv : the preprint server for biology · 2026Article
- Methods for the In Vitro Selection of Protein and Peptide Libraries Using mRNA Display.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Post-Selection Methods for Analyzing mRNA Display Selections and Optimization of Hits.Methods in molecular biology (Clifton, N.J.) · 2026Article
- A Route to Design Novel Functional Peptides by Applying a Denoising Diffusional Model to mRNA Display Libraries.Chembiochem : a European journal of chemical biology · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
In vitro directed evolution techniques, such as mRNA display, enable peptide ligand discovery and optimization. However, physical libraries that rely on a genetic code can only search a small fraction of sequence space due to inherent biases in the genetic code and experimental limitations. To address this challenge, denoising diffusion implicit models (DDIMs) are applied to generate novel peptide ligands against B-cell lymphoma extra-large (Bcl-x
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Registered trials
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