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      Efficient flexible backbone protein–protein docking for challenging targets

      1 , 1 , 2 , 3 , 1 , 4 , 5 , 6
      Bioinformatics
      Oxford University Press (OUP)

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          The Protein Data Bank.

          The Protein Data Bank (PDB; http://www.rcsb.org/pdb/ ) is the single worldwide archive of structural data of biological macromolecules. This paper describes the goals of the PDB, the systems in place for data deposition and access, how to obtain further information, and near-term plans for the future development of the resource.
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            The ClusPro web server for protein–protein docking

            ClusPro is a web server that performs rigid-body docking of two proteins by sampling billions of conformations. Low-energy docked structures are clustered, and centers of the largest clusters are used as likely models of the complex.
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              The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design.

              Over the past decade, the Rosetta biomolecular modeling suite has informed diverse biological questions and engineering challenges ranging from interpretation of low-resolution structural data to design of nanomaterials, protein therapeutics, and vaccines. Central to Rosetta's success is the energy function: a model parametrized from small-molecule and X-ray crystal structure data used to approximate the energy associated with each biomolecule conformation. This paper describes the mathematical models and physical concepts that underlie the latest Rosetta energy function, called the Rosetta Energy Function 2015 (REF15). Applying these concepts, we explain how to use Rosetta energies to identify and analyze the features of biomolecular models. Finally, we discuss the latest advances in the energy function that extend its capabilities from soluble proteins to also include membrane proteins, peptides containing noncanonical amino acids, small molecules, carbohydrates, nucleic acids, and other macromolecules.
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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Bioinformatics
                Oxford University Press (OUP)
                1367-4803
                1460-2059
                October 15 2018
                October 15 2018
                April 30 2018
                October 15 2018
                October 15 2018
                April 30 2018
                : 34
                : 20
                : 3461-3469
                Affiliations
                [1 ]Department of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA
                [2 ]Department of Biochemistry, University of Washington, Seattle, WA, USA
                [3 ]Institute for Protein Design, University of Washington, Seattle, WA, USA
                [4 ]Program in Molecular Biophysics, Johns Hopkins University, Baltimore, MD, USA
                [5 ]Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, USA
                [6 ]Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA
                Article
                10.1093/bioinformatics/bty355
                29718115
                dd189dee-6d55-4d7d-a8c0-03d9bab43fb1
                © 2018

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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