Biology subjects

Koga, N.

Publications and source records attributed to Koga, N..

4 recordsLinked to original sources

bioRxiv2021

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↗

bioRxiv2021

Design of complicated all-α protein structures

A wide range of de novo protein structure designs have been achieved, but the complexity of naturally occurring protein structures is still far beyond these designs. To expand the diversity and complexity of de novo designed protein structures, we sought to develop a method for designing "difficult-to-describe"-helical protein structures composed of irregularly aligned -helices like globins. Backbone structure libraries consisting of a myriad of -helical structures with 5- or 6-helices were generated by combining 18 helix-loop-helix motifs and canonical -helices, and five distinct topologies were selected for de novo design. The designs were found to be monomeric with high thermal stability in solution and fold into the target topologies with atomic accuracy. This study demonstrated that complicated -helical proteins are created using typical building blocks. The method we developed would enable us to explore the universe of protein structures for designing novel functional proteins.

biophysics↗

bioRxiv2020

De Novo Design of Allosteric Control into Rotary Motor V1-ATPase by Restoring Lost Function

Protein complexes exert various functions through allosterically controlled cooperative work. De novo design of allosteric control into protein complexes provides understanding of their working principles and potential tools for synthetic biology. Here, we hypothesized that an allosteric control can be created by restoring lost functions of pseudo-enzymes contained as subunits in protein complexes. This was demonstrated by computationally de novo designing ATP binding ability of the pseudo-enzyme subunits in a rotary molecular motor, V1-ATPase. Single molecule experiments with solved crystal structures revealed that the designed V1 is allosterically accelerated than the wild-type by the ATP binding to the created allosteric site and the rate is tunable by modulating the binding affinity. This work opened up an avenue for programming allosteric control into proteins exhibiting concerted functions.

biophysics↗

bioRxiv2020

Elucidating Human Milk Oligosaccharide biosynthetic genes through network-based multi-omics integration

AO_SCPLOWBSTRACTC_SCPLOWHuman Milk Oligosaccharides (HMOs) are abundant carbohydrates fundamental to infant health and development. Although these oligosaccharides were discovered more than half a century ago, their biosynthesis in the mammary gland remains largely uncharacterized. Here, we used a systems biology framework that integrated glycan and RNA expression data to construct an HMO biosynthetic network and predict glycosyltransferases involved. To accomplish this, we constructed models describing the most likely pathways for the synthesis of the oligosaccharides accounting for >95% of the HMO content in human milk. Through our models, we propose candidate genes for elongation, branching, fucosylation, and sialylation of HMOs. We further explored selected enzyme activities through kinetic assay and their co-regulation through transcription factor analysis. These results provide the molecular basis of HMO biosynthesis necessary to guide progress in HMO research and application with the ultimate goal of understanding and improving infant health and development. SO_SCPLOWIGNIFICANCEC_SCPLOWO_SCPCAP C_SCPCAPO_SCPLOWSTATEMENTC_SCPLOWWith the HMO biosynthesis network resolved, we can begin to connect genotypes with milk types and thereby connect clinical infant, child and even adult outcomes to specific HMOs and HMO modifications. Knowledge of these pathways can simplify the work of synthetic reproduction of these HMOs providing a roadmap for improving infant, child, and overall human health with the specific application of a newly limitless source of nutraceuticals for infants and people of all ages.

systems biology↗