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      Rapid in vitro screening for the location-dependent effects of unnatural amino acids on protein expression and activity : Screening Proteins with Unnatural Amino Acids

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          Abstract

          <p class="first" id="d74692e99">The incorporation of unnatural amino acids (uAA) can introduce novel functional groups into proteins site-specifically, with important applications in basic sciences and protein engineering. However, uAA incorporation can impact protein expression and functional activity depending on its location within the protein-a process that is not yet completely understood and difficult to predict. Therefore, practical applications often necessitate a time-consuming optimization of uAA location by individual gene cloning, expressions, purification, and evaluations for each location tested. To address this limitation, we introduce a streamlined and versatile in vitro system to rapidly express and screen uAA-containing proteins without cumbersome cell culturing or purification procedures. We utilized this technology to simultaneously screen 24 different t4-lysozyme mutants with different uAA incorporation sites in a matter of hours, compared to weeks-long workflow of conventional methods. Screening data offered a mechanistic explanation to some effects of uAA incorporation on expression and activity. Despite these insights, rational prediction of such effects remained challenging, further confirming the value of a rapid screening approach. Biotechnol. Bioeng. 2017;114: 2412-2417. © 2017 Wiley Periodicals, Inc. </p>

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          The protein-folding problem, 50 years on.

          The protein-folding problem was first posed about one half-century ago. The term refers to three broad questions: (i) What is the physical code by which an amino acid sequence dictates a protein's native structure? (ii) How can proteins fold so fast? (iii) Can we devise a computer algorithm to predict protein structures from their sequences? We review progress on these problems. In a few cases, computer simulations of the physical forces in chemically detailed models have now achieved the accurate folding of small proteins. We have learned that proteins fold rapidly because random thermal motions cause conformational changes leading energetically downhill toward the native structure, a principle that is captured in funnel-shaped energy landscapes. And thanks in part to the large Protein Data Bank of known structures, predicting protein structures is now far more successful than was thought possible in the early days. What began as three questions of basic science one half-century ago has now grown into the full-fledged research field of protein physical science.
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            Protein tagging and detection with engineered self-assembling fragments of green fluorescent protein.

            Existing protein tagging and detection methods are powerful but have drawbacks. Split protein tags can perturb protein solubility or may not work in living cells. Green fluorescent protein (GFP) fusions can misfold or exhibit altered processing. Fluorogenic biarsenical FLaSH or ReASH substrates overcome many of these limitations but require a polycysteine tag motif, a reducing environment and cell transfection or permeabilization. An ideal protein tag would be genetically encoded, would work both in vivo and in vitro, would provide a sensitive analytical signal and would not require external chemical reagents or substrates. One way to accomplish this might be with a split GFP, but the GFP fragments reported thus far are large and fold poorly, require chemical ligation or fused interacting partners to force their association, or require coexpression or co-refolding to produce detectable folded and fluorescent GFP. We have engineered soluble, self-associating fragments of GFP that can be used to tag and detect either soluble or insoluble proteins in living cells or cell lysates. The split GFP system is simple and does not change fusion protein solubility.
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              Exact and efficient analytical calculation of the accessible surface areas and their gradients for macromolecules

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Biotechnology and Bioengineering
                Biotechnol. Bioeng.
                Wiley
                00063592
                October 2017
                October 2017
                July 18 2017
                : 114
                : 10
                : 2412-2417
                Affiliations
                [1 ]Department of Chemical Engineering; Brigham Young University; Provo Utah
                [2 ]Department of Microbiology and Molecular Biology; Brigham Young University; Provo Utah
                Article
                10.1002/bit.26305
                28398594
                6081aa64-c2a9-4f22-bbeb-6b8234658c23
                © 2017

                http://doi.wiley.com/10.1002/tdm_license_1.1

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