ReviewFrontiers in bioengineering and biotechnology2026
Recent advances in multimodal foundation model-enabled peptide screening and optimization for smart biomaterials and functional tissue engineering.
Review in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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7 authors.
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Abstract
Peptides are important bioactive molecules for smart biomaterials and functional tissue engineering because they can provide targeting, antimicrobial, adhesive, immunomodulatory, and differentiation-regulating functions. However, conventional peptide discovery remains limited by high experimental cost, incomplete exploration of sequence space, and the difficulty of balancing bioactivity with stability, safety, manufacturability, and material compatibility. These limitations become more pronounced when peptides must retain function after chemical modification, immobilization, hydrogel incorporation, crosslinking, printing, or construct maturation. Recent advances in protein language models and multimodal foundation models provide new opportunities for peptide screening, generation, property prediction, and material-aware prioritization. This review summarizes foundation model-assisted strategies for peptide representation learning, candidate retrieval,
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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 Socratic graph.