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      Rational design of alpha-helical tandem repeat proteins with closed architectures

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          Abstract

          Tandem repeat proteins, which are formed by repetition of modular units of protein sequence and structure, play important biological roles as macromolecular binding and scaffolding domains, enzymes, and building blocks for the assembly of fibrous materials 1, 2 . The modular nature of repeat proteins enables the rapid construction and diversification of extended binding surfaces by duplication and recombination of simple building blocks 3, 4 . The overall architecture of tandem repeat protein structures – which is dictated by the internal geometry and local packing of the repeat building blocks – is highly diverse, ranging from extended, super-helical folds that bind peptide, DNA, and RNA partners 59 , to closed and compact conformations with internal cavities suitable for small molecule binding and catalysis 10 . Here we report the development and validation of computational methods for de novo design of tandem repeat protein architectures driven purely by geometric criteria defining the inter-repeat geometry, without reference to the sequences and structures of existing repeat protein families. We have applied these methods to design a series of closed alpha-solenoid 11 repeat structures (alpha-toroids) in which the inter-repeat packing geometry is constrained so as to juxtapose the N- and C-termini; several of these designed structures have been validated by X-ray crystallography. Unlike previous approaches to tandem repeat protein engineering 1220 , our design procedure does not rely on template sequence or structural information taken from natural repeat proteins and hence can produce structures unlike those seen in nature. As an example, we have successfully designed and validated closed alpha-solenoid repeats with a left-handed helical architecture that – to our knowledge – is not yet present in the protein structure database 21 .

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          ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.

          We have recently completed a full re-architecturing of the ROSETTA molecular modeling program, generalizing and expanding its existing functionality. The new architecture enables the rapid prototyping of novel protocols by providing easy-to-use interfaces to powerful tools for molecular modeling. The source code of this rearchitecturing has been released as ROSETTA3 and is freely available for academic use. At the time of its release, it contained 470,000 lines of code. Counting currently unpublished protocols at the time of this writing, the source includes 1,285,000 lines. Its rapid growth is a testament to its ease of use. This chapter describes the requirements for our new architecture, justifies the design decisions, sketches out central classes, and highlights a few of the common tasks that the new software can perform. © 2011 Elsevier Inc. All rights reserved.
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            Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions.

            We explore the ability of a simple simulated annealing procedure to assemble native-like structures from fragments of unrelated protein structures with similar local sequences using Bayesian scoring functions. Environment and residue pair specific contributions to the scoring functions appear as the first two terms in a series expansion for the residue probability distributions in the protein database; the decoupling of the distance and environment dependencies of the distributions resolves the major problems with current database-derived scoring functions noted by Thomas and Dill. The simulated annealing procedure rapidly and frequently generates native-like structures for small helical proteins and better than random structures for small beta sheet containing proteins. Most of the simulated structures have native-like solvent accessibility and secondary structure patterns, and thus ensembles of these structures provide a particularly challenging set of decoys for evaluating scoring functions. We investigate the effects of multiple sequence information and different types of conformational constraints on the overall performance of the method, and the ability of a variety of recently developed scoring functions to recognize the native-like conformations in the ensembles of simulated structures.
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              Dali: a network tool for protein structure comparison.

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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                3 November 2015
                16 December 2015
                24 December 2015
                16 June 2016
                : 528
                : 7583
                : 585-588
                Affiliations
                [1 ]Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. N. Seattle WA 98109, USA
                [2 ]Department of Biochemistry, University of Washington, Seattle WA 98195, USA
                [3 ]Institute for Protein Design, University of Washington, Seattle WA 98195, USA
                [4 ]Howard Hughes Medical Institute, University of Washington, Seattle WA 98195, USA
                [5 ]Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. N. Seattle WA 98019, USA
                Author notes
                [* ]To whom correspondence should be addressed: pbradley@ 123456fredhutch.org , 1-206-667-7041 (ph) 1-206-667-1319 (fax)
                Article
                NIHMS734927
                10.1038/nature16191
                4727831
                26675735
                3df0bb64-8d47-47b1-b3ec-a685e3bd8174

                Reprints and permissions information is available at www.nature.com/reprints

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