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Chikenji, G.

Publications and source records attributed to Chikenji, G..

2 recordsLinked to original sources

Protein superfolds are characterised as frustration-free topologies: A case study of pure parallel beta-sheet topologies

A protein superfold is a type of protein fold that is observed in at least three distinct, non-homologous protein families. Structural classification studies have revealed a limited number of prevalent superfolds alongside several infrequent occurring folds, and in /{beta} type superfolds, the C-terminal {beta}-strand tends to favor the edge of the {beta}-sheet, while the N-terminal {beta}-strand is often found in the middle. The reasons behind these observations, whether they are due to evolutionary sampling bias or physical interactions, remain unclear. This article offers a physics-based explanation for these observations, specifically for pure parallel {beta}-sheet topologies. Our investigation is grounded in three established structural rules that are based on physical interactions. We have identified "frustration-free topologies" which are topologies that can satisfy all three rules simultaneously. In contrast, topologies that cannot are termed "frustrated topologies." Our findings reveal that frustration-free topologies represent only a fraction of all theoretically possible patterns, these topologies strongly favor positioning the C-terminal {beta}-strand at the edge of the {beta}-sheet and the N-terminal {beta}-strand in the middle, and there is significant overlap between frustration-free topologies and superfolds. We also used a lattice protein model to thoroughly investigate sequence-structure relationships. Our results show that frustration-free structures are highly designable, while frustrated structures are poorly designable. These findings suggest that superfolds are highly designable due to their lack of frustration, and the preference for positioning C-terminal {beta}-strands at the edge of the {beta}-sheet is a direct result of frustration-free topologies. These insights not only enhance our understanding of sequence-structure relationships but also have significant implications for de novo protein design. Author summaryA protein superfold is a protein fold that appears in at least three different non-homologous protein families. Superfolds are unique in their ability to accommodate multiple functions within a single fold, a feature not typically seen in other folds. Studies in structural classification have led to two notable observations: the existence of a limited number of common superfolds contrasted with a larger variety of less frequent folds, and a recurring pattern in /{beta} type superfolds where the C-terminal {beta}-strand often occupies the edge of the {beta}-sheet, while the N-terminal {beta}-strand is usually found in the middle. The origins of these patterns, whether they stem from evolutionary sampling bias or physical interaction mechanisms, remain unclear. This article provides a physics-oriented explanation for these observations, specifically concentrating on pure parallel {beta}-sheet topologies. The insights gained from this research are crucial in enhancing our understanding of the relationship between protein sequences and structures, and are expected to contribute significantly to the de novo design of new proteins.

bioinformatics↗

Exploration of novel αβ-protein folds through de novo design

Most naturally occurring protein folds have likely been discovered1-3. The question is whether natural evolution has exhaustively sampled almost all possible protein folds4, or whether a large fraction of the possible folds remains unexplored5-7. To address this question, we introduce a set of rules for {beta}-sheet topology to predict novel folds, and carry out the systematic de novo protein design for the novel folds predicted by the rules. The rules predicted eight novel {beta}-folds with a four-stranded {beta}-sheet, including a knot-forming one. We designed proteins for all the predicted {beta}-folds and found that all the designs are monomeric with high thermal stability and fold into the structures close to the design models, demonstrating the ability of the set of rules to predict novel {beta}-folds. The rules also predicted about twelve thousand novel {beta}-folds with five- to eight-stranded {beta}-sheets; the number is far exceeding the number of {beta}-folds observed so far. This result suggests that the enormous number of {beta}-folds are possible but have not emerged or become extinct due to evolutionary bias. The predicted novel folds should open up the possibility of designing functional proteins of our interests.

biophysics↗