
Our ability to rationally optimize allosteric regulation is limited by incomplete knowledge of the mutations that tune allostery. Are these mutations few or abundant, structurally localized or distributed? To examine this, we conducted saturation mutagenesis of a synthetic allosteric switch in which Dihydrofolate reductase (DHFR) is regulated by a blue-light sensitive LOV2 domain. Using a high-throughput assay wherein DHFR catalytic activity is coupled to E. coli growth, we assessed the impact of 1548 viable DHFR single mutations on allostery. Despite most mutations being deleterious to activity, fewer than 5% of mutations had a statistically significant influence on allostery. Most allostery disrupting mutations were proximal to the LOV2 insertion site. In contrast, allostery enhancing mutations were structurally distributed and enriched on the protein surface. Combining several allostery enhancing mutations yielded near-additive improvements to dynamic range. Our results indicate a path toward optimizing allosteric function through variation at surface sites.
Models, Molecular, QH301-705.5, Science, Recombinant Fusion Proteins, dihydrofolate reductase, deep mutational scanning, Allosteric Regulation, Protein Domains, Escherichia coli, Biology (General), LOV2, Evolutionary Biology, allostery, sectors, Q, R, Computational Biology, Tetrahydrofolate Dehydrogenase, coevolution, Mutation, Medicine, Allosteric Site, Protein Binding
Models, Molecular, QH301-705.5, Science, Recombinant Fusion Proteins, dihydrofolate reductase, deep mutational scanning, Allosteric Regulation, Protein Domains, Escherichia coli, Biology (General), LOV2, Evolutionary Biology, allostery, sectors, Q, R, Computational Biology, Tetrahydrofolate Dehydrogenase, coevolution, Mutation, Medicine, Allosteric Site, Protein Binding
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 26 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
