Simulation Guided Design of a Potentially Hyperactive Ice Nucleating Protein

Ice nucleating proteins (INPs) are among the most potent biological catalysts for heterogeneous ice nucleation, triggering freezing at temperatures near 0 °C. Despite structural insights into their β-helical repeat, the molecular mechanisms governing their nucleation efficiency are not fully understood. Extensive atomistic molecular dynamics (MD) simulations (50 μs total) were used to investigate ice nucleation by a modeled Pseudomonas syringae INP (inaV central repeat domain, residues 221–476). Simulations captured ice formation initiating predominantly at YGS and TxT motifs, followed by propagation into stable crystals. Based on these findings, a modified INP with doubled YGS and TxT motifs was designed. This variant displayed faster nucleation kinetics ( T 50 = 1.9 ± 0.4 μs compared to 3.3 ± 1.8 μs for WT) and ∼28.5% higher ice-like water fractions near key motifs. These findings characterize the YGS motif as a potent water-organizing element and demonstrate the efficacy of MD-driven design in enhancing INP performance for possible energy-saving and biotechnological applications.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2026-06-30
DOI
https://doi.org/10.1021/acs.jcim.6c00512
Primary Topic
Physiological and biochemical adaptations
Type
article
Field-Weighted Citation Impact
0.00

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article

Simulation Guided Design of a Potentially Hyperactive Ice Nucleating Protein

D. Peter Tieleman, Elio A. Cino
Journal of Chemical Information and Modeling
Physiological and biochemical adaptations
article

Simulation Guided Design of a Potentially Hyperactive Ice Nucleating Protein

D. Peter Tieleman, Elio A. Cino
article en

Abstract

Ice nucleating proteins (INPs) are among the most potent biological catalysts for heterogeneous ice nucleation, triggering freezing at temperatures near 0 °C. Despite structural insights into their β-helical repeat, the molecular mechanisms governing their nucleation efficiency are not fully understood. Extensive atomistic molecular dynamics (MD) simulations (50 μs total) were used to investigate ice nucleation by a modeled Pseudomonas syringae INP (inaV central repeat domain, residues 221–476). Simulations captured ice formation initiating predominantly at YGS and TxT motifs, followed by propagation into stable crystals. Based on these findings, a modified INP with doubled YGS and TxT motifs was designed. This variant displayed faster nucleation kinetics ( T 50 = 1.9 ± 0.4 μs compared to 3.3 ± 1.8 μs for WT) and ∼28.5% higher ice-like water fractions near key motifs. These findings characterize the YGS motif as a potent water-organizing element and demonstrate the efficacy of MD-driven design in enhancing INP performance for possible energy-saving and biotechnological applications.

Journal of Chemical Information and Modeling
University of Calgary (CA), Simulation Technologies (United States) (US)
Canada Research Chairs, Alliance de recherche numérique du Canada, Natural Sciences and Engineering Research Council of Canada
Affordable and clean energy
Openalex Percentile: Top 8%
Physiological and biochemical adaptations
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