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      Engineering a nicotinamide mononucleotide redox cofactor system for biocatalysis

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          Abstract

          Biological production of chemicals often requires the use of cellular cofactors, such as nicotinamide adenine dinucleotide phosphate (NADP+). These cofactors are expensive to use in vitro and difficult to control in vivo. We demonstrate the development of a noncanonical redox cofactor system based on nicotinamide mononucleotide (NMN+). The key enzyme in the system is a computationally designed glucose dehydrogenase with a 107-fold cofactor specificity switch toward NMN+ over NADP+ based on apparent enzymatic activity. We demonstrate that this system can be used to support diverse redox chemistries in vitro with high total turnover number (~39,000), to channel reducing power in Escherichia coli whole cells specifically from glucose to a pharmaceutical intermediate, levodione, and to sustain the high metabolic flux required for the central carbon metabolism to support growth. Overall, this work demonstrates efficient use of a noncanonical cofactor in biocatalysis and metabolic pathway design.

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          Advances in methods and algorithms in a modern quantum chemistry program package.

          Advances in theory and algorithms for electronic structure calculations must be incorporated into program packages to enable them to become routinely used by the broader chemical community. This work reviews advances made over the past five years or so that constitute the major improvements contained in a new release of the Q-Chem quantum chemistry package, together with illustrative timings and applications. Specific developments discussed include fast methods for density functional theory calculations, linear scaling evaluation of energies, NMR chemical shifts and electric properties, fast auxiliary basis function methods for correlated energies and gradients, equation-of-motion coupled cluster methods for ground and excited states, geminal wavefunctions, embedding methods and techniques for exploring potential energy surfaces.
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            HMMER web server: 2015 update

            The HMMER website, available at http://www.ebi.ac.uk/Tools/hmmer/, provides access to the protein homology search algorithms found in the HMMER software suite. Since the first release of the website in 2011, the search repertoire has been expanded to include the iterative search algorithm, jackhmmer. The continued growth of the target sequence databases means that traditional tabular representations of significant sequence hits can be overwhelming to the user. Consequently, additional ways of presenting homology search results have been developed, allowing them to be summarised according to taxonomic distribution or domain architecture. The taxonomy and domain architecture representations can be used in combination to filter the results according to the needs of a user. Searches can also be restricted prior to submission using a new taxonomic filter, which not only ensures that the results are specific to the requested taxonomic group, but also improves search performance. The repertoire of profile hidden Markov model libraries, which are used for annotation of query sequences with protein families and domains, has been expanded to include the libraries from CATH-Gene3D, PIRSF, Superfamily and TIGRFAMs. Finally, we discuss the relocation of the HMMER webserver to the European Bioinformatics Institute and the potential impact that this will have.
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              Semi-synthetic artemisinin: a model for the use of synthetic biology in pharmaceutical development.

              Recent developments in synthetic biology, combined with continued progress in systems biology and metabolic engineering, have enabled the engineering of microorganisms to produce heterologous molecules in a manner that was previously unfeasible. The successful synthesis and recent entry of semi-synthetic artemisinin into commercial production is the first demonstration of the potential of synthetic biology for the development and production of pharmaceutical agents. In this Review, we describe the metabolic engineering and synthetic biology approaches that were used to develop this important antimalarial drug precursor. This not only demonstrates the incredible potential of the available technologies but also illuminates how lessons learned from this work could be applied to the production of other pharmaceutical agents.
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                Author and article information

                Journal
                Nature Chemical Biology
                Nat Chem Biol
                Springer Science and Business Media LLC
                1552-4450
                1552-4469
                November 25 2019
                Article
                10.1038/s41589-019-0402-7
                7546441
                31768035
                0fd91ac8-b7f2-447b-8dd4-2099df186623
                © 2019

                http://www.springer.com/tdm

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