Publication details

Knot or not? Identifying unknotted proteins in knotted families with sequence-based Machine Learning model

Authors

SIKORA Maciej KLIMENTOVÁ Eva UCHAL Dawid ŠRÁMKOVÁ Denisa PERLINSKA Agata P NGUYEN Mai Lan KORPACZ Marta MALINOWSKA Roksana NOWAKOWSKI Szymon RUBACH Pawel ŠIMEČEK Petr SULKOWSKA Joanna I

Year of publication 2024
Type Article in Periodical
Magazine / Source Protein Science
MU Faculty or unit

Central European Institute of Technology

Citation
Web https://onlinelibrary.wiley.com/doi/10.1002/pro.4998
Doi http://dx.doi.org/10.1002/pro.4998
Keywords AlphaFold; deep learning; knotted proteins; protein topology; SPOUT family proteins
Description Knotted proteins, although scarce, are crucial structural components of certain protein families, and their roles continue to be a topic of intense research. Capitalizing on the vast collection of protein structure predictions offered by AlphaFold (AF), this study computationally examines the entire UniProt database to create a robust dataset of knotted and unknotted proteins. Utilizing this dataset, we develop a machine learning (ML) model capable of accurately predicting the presence of knots in protein structures solely from their amino acid sequences. We tested the model's capabilities on 100 proteins whose structures had not yet been predicted by AF and found agreement with our local prediction in 92% cases. From the point of view of structural biology, we found that all potentially knotted proteins predicted by AF can be classified only into 17 families. This allows us to discover the presence of unknotted proteins in families with a highly conserved knot. We found only three new protein families: UCH, DUF4253, and DUF2254, that contain both knotted and unknotted proteins, and demonstrate that deletions within the knot core could potentially account for the observed unknotted (trivial) topology. Finally, we have shown that in the majority of knotted families (11 out of 15), the knotted topology is strictly conserved in functional proteins with very low sequence similarity. We have conclusively demonstrated that proteins AF predicts as unknotted are structurally accurate in their unknotted configurations. However, these proteins often represent nonfunctional fragments, lacking significant portions of the knot core (amino acid sequence).

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