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      Determining protein structures using deep mutagenesis

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      1 , 1 , 2 , 3 , *
      Nature genetics

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          Abstract

          Determining the three-dimensional (3D) structures of macromolecules is a major goal of biological research because of the close relationship between structure and function but thousands of protein domains still have unknown structures. Structure determination usually relies on physical techniques including x-ray crystallography, NMR spectroscopy and cryo-electron microscopy. Here we present a method that allows the high-resolution 3D backbone structure of a biological macromolecule to be determined only from measurements of the activity of mutant variants of the molecule. This genetic approach to structure determination relies on the quantification of genetic interactions (epistasis) between mutations and the discrimination of direct from indirect interactions. This provides an alternative experimental strategy for structure determination, with the potential to reveal functional and in vivo structural conformations.

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          Search and clustering orders of magnitude faster than BLAST.

          Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification. UBLAST and USEARCH are new algorithms enabling sensitive local and global search of large sequence databases at exceptionally high speeds. They are often orders of magnitude faster than BLAST in practical applications, though sensitivity to distant protein relationships is lower. UCLUST is a new clustering method that exploits USEARCH to assign sequences to clusters. UCLUST offers several advantages over the widely used program CD-HIT, including higher speed, lower memory use, improved sensitivity, clustering at lower identities and classification of much larger datasets. Binaries are available at no charge for non-commercial use at http://www.drive5.com/usearch.
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            The I-TASSER Suite: protein structure and function prediction.

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              Deep mutational scanning: a new style of protein science.

              Mutagenesis provides insight into proteins, but only recently have assays that couple genotype to phenotype been used to assess the activities of as many as 1 million mutant versions of a protein in a single experiment. This approach-'deep mutational scanning'-yields large-scale data sets that can reveal intrinsic protein properties, protein behavior within cells and the consequences of human genetic variation. Deep mutational scanning is transforming the study of proteins, but many challenges must be tackled for it to fulfill its promise.
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                Author and article information

                Journal
                9216904
                Nat Genet
                Nat Genet
                Nature genetics
                1061-4036
                1546-1718
                01 July 2019
                17 June 2019
                20 April 2021
                : 51
                : 7
                : 1177-1186
                Affiliations
                [1 ]Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
                [2 ]Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain
                [3 ]ICREA, Pg. Lluís Companys 23, 08010 Barcelona, Spain
                Author notes
                [* ] Correspondence and requests for materials should be addressed to B.L. ben.lehner@ 123456crg.eu
                Article
                EMS83256
                10.1038/s41588-019-0431-x
                7610650
                31209395
                9c1218a6-1e52-4c72-bbf6-9d0048cdf558

                Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

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                Genetics
                Genetics

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