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== Publication Abstract from PubMed ==

Attaining molecular-level control over solidification processes is a crucial aspect of materials science. To control ice formation, organisms have evolved bewildering arrays of ice-binding proteins (IBPs), but these have poorly understood structure-activity relationships. We propose that reverse engineering using de novo computational protein design can shed light on structure-activity relationships of IBPs. We hypothesized that the model alpha-helical winter flounder antifreeze protein uses an unusual undertwisting of its alpha-helix to align its putative ice-binding threonine residues in exactly the same direction. We test this hypothesis by designing a series of straight three-helix bundles with an ice-binding helix projecting threonines and two supporting helices constraining the twist of the ice-binding helix. Our findings show that ice-recrystallization inhibition by the designed proteins increases with the degree of designed undertwisting, thus validating our hypothesis, and opening up avenues for the computational design of IBPs.

De novo designed ice-binding proteins from twist-constrained helices.,de Haas RJ, Tas RP, van den Broek D, Zheng C, Nguyen H, Kang A, Bera AK, King NP, Voets IK, de Vries R Proc Natl Acad Sci U S A. 2023 Jul 4;120(27):e2220380120. doi: , 10.1073/pnas.2220380120. Epub 2023 Jun 26. PMID:37364125<ref>PMID:37364125</ref>

From MEDLINE&reg;/PubMed&reg;, a database of the U.S. National Library of Medicine.<br>

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== References ==

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