ArticlePloS one2015
Computational Design of the β-Sheet Surface of a Red Fluorescent Protein Allows Control of Protein Oligomerization.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Generation of bright monomeric red fluorescent proteinsChemical science · 2022Article
- High-Throughput Cellular Thermal Shift Assays in Research and Drug Discovery.SLAS discovery : advancing life sciences R & D · 2020Article
- Monomerization of far-red fluorescent proteins.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- DisruPPI: structure-based computational redesign algorithm for protein binding disruption.Bioinformatics (Oxford, England) · 2018Article
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Authors and funding
4 authors.
Funding
Abstract
Computational design has been used with mixed success for the design of protein surfaces, with directed evolution heretofore providing better practical solutions than explicit design. Directed evolution, however, requires a tractable high-throughput screen because the random nature of mutation does not enrich for desired traits. Here we demonstrate the successful design of the β-sheet surface of a red fluorescent protein (RFP), enabling control over its oligomerization. To isolate the problem of surface design, we created a hybrid RFP from DsRed and mCherry with a stabilized protein core that allows for monomerization without loss of fluorescence. We designed an explicit library for which 93 of 96 (97%) of the protein variants are soluble, stably fluorescent, and monomeric. RFPs are heavily used in biology, but are natively tetrameric, and creating RFP monomers has proven extremely difficult. We show that surface design and core engineering are separate problems in RFP development and that the next generation of RFP markers will depend on improved methods for core design.
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