Discovering Naturally Occurring Antifreeze Peptides from Microbiome by Integrating Protein Language Models and Molecular Dynamics Simulation

Q: What does this research mean for the field?

Naturally occurring antifreeze peptides (AFPs) can be discovered from microbiome data using protein language models and molecular dynamics simulations. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

Ibrahim A Imam; Trevor Morey; Wei Du; Duolin Wang; Dong Xu (21616); Qing Shao

doi:10.1039/d5tb02758f

January 1, 2026Journal of Materials Chemistry BOpen Access

Discovering Naturally Occurring Antifreeze Peptides from Microbiome by Integrating Protein Language Models and Molecular Dynamics Simulation

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Key Points

This research aims to identify naturally occurring antifreeze peptides from microbiomes and assess their potential applications.
Utilized protein language models for predicting peptide structures.
Employed molecular dynamics simulations to study peptide interactions with ice.
Analyzed ice crystal growth inhibition by selected antifreeze peptides.
Identified several promising antifreeze peptides with high inhibitory effects on ice crystal growth.
Demonstrated the potential of these peptides for use in cryoprotective formulations and coatings.

Implication

Integration of protein language models and molecular dynamics predicts antifreeze peptide efficacy for preservation applications.

Abstract

Antifreeze peptides (AFPs) inhibit ice crystal growth and recrystallization, and are promising components of cryoprotective formulations for cell, tissue, and food preservation, as well as anti-icing surface coatings. However, the...

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Cite This Study

Imam et al. (2026) studied this question.

synapsesocial.com/papers/69aa70c8531e4c4a9ff5ad63 https://doi.org/10.1039/d5tb02758f

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Discovering Naturally Occurring Antifreeze Peptides from Microbiome by Integrating Protein Language Models and Molecular Dynamics Simulation

Key Points

Implication

Abstract

Discussion

Cite This Study

Discovering Naturally Occurring Antifreeze Peptides from Microbiome by Integrating Protein Language Models and Molecular Dynamics Simulation

Key Points

Implication

Abstract

Discussion

Cite This Study

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