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  • 1
    Publication Date: 2015-12-18
    Description: 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. The modular nature of repeat proteins enables the rapid construction and diversification of extended binding surfaces by duplication and recombination of simple building blocks. 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, to closed and compact conformations with internal cavities suitable for small molecule binding and catalysis. 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 repeat structures (alpha-toroids) in which the inter-repeat packing geometry is constrained so as to juxtapose the amino (N) and carboxy (C) termini; several of these designed structures have been validated by X-ray crystallography. Unlike previous approaches to tandem repeat protein engineering, 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.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4727831/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4727831/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Doyle, Lindsey -- Hallinan, Jazmine -- Bolduc, Jill -- Parmeggiani, Fabio -- Baker, David -- Stoddard, Barry L -- Bradley, Philip -- R01 GM049857/GM/NIGMS NIH HHS/ -- R01 GM115545/GM/NIGMS NIH HHS/ -- R01GM49857/GM/NIGMS NIH HHS/ -- R21 GM106117/GM/NIGMS NIH HHS/ -- R21GM106117/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Dec 24;528(7583):585-8. doi: 10.1038/nature16191. Epub 2015 Dec 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle, Washington 98109, USA. ; Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA. ; Institute for Protein Design, University of Washington, Seattle, Washington 98195, USA. ; Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA. ; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle, Washington 98019, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26675735" target="_blank"〉PubMed〈/a〉
    Keywords: *Amino Acid Motifs ; *Bioengineering ; *Computer Simulation ; Crystallography, X-Ray ; Databases, Protein ; Models, Molecular ; *Protein Structure, Secondary ; Proteins/*chemistry ; Reproducibility of Results
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2010-02-06
    Description: Conventional protein structure determination from nuclear magnetic resonance data relies heavily on side-chain proton-to-proton distances. The necessary side-chain resonance assignment, however, is labor intensive and prone to error. Here we show that structures can be accurately determined without nuclear magnetic resonance (NMR) information on the side chains for proteins up to 25 kilodaltons by incorporating backbone chemical shifts, residual dipolar couplings, and amide proton distances into the Rosetta protein structure modeling methodology. These data, which are too sparse for conventional methods, serve only to guide conformational search toward the lowest-energy conformations in the folding landscape; the details of the computed models are determined by the physical chemistry implicit in the Rosetta all-atom energy function. The new method is not hindered by the deuteration required to suppress nuclear relaxation processes for proteins greater than 15 kilodaltons and should enable routine NMR structure determination for larger proteins.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2909653/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2909653/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Raman, Srivatsan -- Lange, Oliver F -- Rossi, Paolo -- Tyka, Michael -- Wang, Xu -- Aramini, James -- Liu, Gaohua -- Ramelot, Theresa A -- Eletsky, Alexander -- Szyperski, Thomas -- Kennedy, Michael A -- Prestegard, James -- Montelione, Gaetano T -- Baker, David -- GM76222/GM/NIGMS NIH HHS/ -- P41 GM103390/GM/NIGMS NIH HHS/ -- R01 GM092802/GM/NIGMS NIH HHS/ -- R01 GM095693/GM/NIGMS NIH HHS/ -- RR005351/RR/NCRR NIH HHS/ -- U54 GM074958/GM/NIGMS NIH HHS/ -- U54 GM074958-05/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2010 Feb 19;327(5968):1014-8. doi: 10.1126/science.1183649. Epub 2010 Feb 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20133520" target="_blank"〉PubMed〈/a〉
    Keywords: Computer Simulation ; Models, Molecular ; Monte Carlo Method ; Nuclear Magnetic Resonance, Biomolecular/*methods ; *Protein Conformation ; Protein Folding ; Proteins/*chemistry ; Software ; Thermodynamics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2003-11-25
    Description: A major challenge of computational protein design is the creation of novel proteins with arbitrarily chosen three-dimensional structures. Here, we used a general computational strategy that iterates between sequence design and structure prediction to design a 93-residue alpha/beta protein called Top7 with a novel sequence and topology. Top7 was found experimentally to be folded and extremely stable, and the x-ray crystal structure of Top7 is similar (root mean square deviation equals 1.2 angstroms) to the design model. The ability to design a new protein fold makes possible the exploration of the large regions of the protein universe not yet observed in nature.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kuhlman, Brian -- Dantas, Gautam -- Ireton, Gregory C -- Varani, Gabriele -- Stoddard, Barry L -- Baker, David -- New York, N.Y. -- Science. 2003 Nov 21;302(5649):1364-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14631033" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Amino Acid Sequence ; Circular Dichroism ; Computational Biology ; Computer Graphics ; Computer Simulation ; Crystallization ; Crystallography, X-Ray ; Databases, Protein ; Models, Molecular ; Molecular Sequence Data ; Monte Carlo Method ; Nuclear Magnetic Resonance, Biomolecular ; *Protein Conformation ; Protein Denaturation ; *Protein Engineering ; *Protein Folding ; Protein Structure, Secondary ; Proteins/*chemistry ; *Software ; Solubility ; Temperature ; Thermodynamics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2005-09-17
    Description: The prediction of protein structure from amino acid sequence is a grand challenge of computational molecular biology. By using a combination of improved low- and high-resolution conformational sampling methods, improved atomically detailed potential functions that capture the jigsaw puzzle-like packing of protein cores, and high-performance computing, high-resolution structure prediction (〈1.5 angstroms) can be achieved for small protein domains (〈85 residues). The primary bottleneck to consistent high-resolution prediction appears to be conformational sampling.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bradley, Philip -- Misura, Kira M S -- Baker, David -- New York, N.Y. -- Science. 2005 Sep 16;309(5742):1868-71.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Washington, Department of Biochemistry, and Howard Hughes Medical Institute, Box 357350, Seattle, WA 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16166519" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Chemistry, Physical ; *Computational Biology ; Computer Simulation ; Hydrogen Bonding ; Models, Molecular ; Monte Carlo Method ; Physicochemical Phenomena ; *Protein Conformation ; Protein Folding ; Protein Structure, Secondary ; Protein Structure, Tertiary ; Proteins/*chemistry ; Sequence Alignment ; Thermodynamics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2011-05-03
    Description: Molecular replacement procedures, which search for placements of a starting model within the crystallographic unit cell that best account for the measured diffraction amplitudes, followed by automatic chain tracing methods, have allowed the rapid solution of large numbers of protein crystal structures. Despite extensive work, molecular replacement or the subsequent rebuilding usually fail with more divergent starting models based on remote homologues with less than 30% sequence identity. Here we show that this limitation can be substantially reduced by combining algorithms for protein structure modelling with those developed for crystallographic structure determination. An approach integrating Rosetta structure modelling with Autobuild chain tracing yielded high-resolution structures for 8 of 13 X-ray diffraction data sets that could not be solved in the laboratories of expert crystallographers and that remained unsolved after application of an extensive array of alternative approaches. We estimate that the new method should allow rapid structure determination without experimental phase information for over half the cases where current methods fail, given diffraction data sets of better than 3.2 A resolution, four or fewer copies in the asymmetric unit, and the availability of structures of homologous proteins with 〉20% sequence identity.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3365536/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3365536/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉DiMaio, Frank -- Terwilliger, Thomas C -- Read, Randy J -- Wlodawer, Alexander -- Oberdorfer, Gustav -- Wagner, Ulrike -- Valkov, Eugene -- Alon, Assaf -- Fass, Deborah -- Axelrod, Herbert L -- Das, Debanu -- Vorobiev, Sergey M -- Iwai, Hideo -- Pokkuluri, P Raj -- Baker, David -- 082961/Wellcome Trust/United Kingdom -- 5R01GM092802/GM/NIGMS NIH HHS/ -- GM074898/GM/NIGMS NIH HHS/ -- P01 GM063210/GM/NIGMS NIH HHS/ -- P41RR002250/RR/NCRR NIH HHS/ -- R01 GM092802/GM/NIGMS NIH HHS/ -- U54 GM074898/GM/NIGMS NIH HHS/ -- U54 GM074958/GM/NIGMS NIH HHS/ -- U54 GM094586/GM/NIGMS NIH HHS/ -- U54GM074958/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- Wellcome Trust/United Kingdom -- England -- Nature. 2011 May 26;473(7348):540-3. doi: 10.1038/nature09964. Epub 2011 May 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Washington, Department of Biochemistry and HHMI, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21532589" target="_blank"〉PubMed〈/a〉
    Keywords: Computational Biology/*methods ; Crystallography, X-Ray ; Databases, Protein ; Electrons ; *Models, Molecular ; Proteins/*chemistry ; Sequence Alignment ; Sequence Homology, Amino Acid ; *Structural Homology, Protein
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2012-11-09
    Description: Unlike random heteropolymers, natural proteins fold into unique ordered structures. Understanding how these are encoded in amino-acid sequences is complicated by energetically unfavourable non-ideal features--for example kinked alpha-helices, bulged beta-strands, strained loops and buried polar groups--that arise in proteins from evolutionary selection for biological function or from neutral drift. Here we describe an approach to designing ideal protein structures stabilized by completely consistent local and non-local interactions. The approach is based on a set of rules relating secondary structure patterns to protein tertiary motifs, which make possible the design of funnel-shaped protein folding energy landscapes leading into the target folded state. Guided by these rules, we designed sequences predicted to fold into ideal protein structures consisting of alpha-helices, beta-strands and minimal loops. Designs for five different topologies were found to be monomeric and very stable and to adopt structures in solution nearly identical to the computational models. These results illuminate how the folding funnels of natural proteins arise and provide the foundation for engineering a new generation of functional proteins free from natural evolution.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705962/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705962/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Koga, Nobuyasu -- Tatsumi-Koga, Rie -- Liu, Gaohua -- Xiao, Rong -- Acton, Thomas B -- Montelione, Gaetano T -- Baker, David -- U54 GM094597/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Nov 8;491(7423):222-7. doi: 10.1038/nature11600.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Washington, Department of Biochemistry and Howard Hughes Medical Institute, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23135467" target="_blank"〉PubMed〈/a〉
    Keywords: *Computer Simulation ; *Models, Molecular ; *Protein Folding ; *Protein Stability ; Protein Structure, Secondary ; Protein Structure, Tertiary ; Proteins/*chemistry ; Thermodynamics
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2015-06-20
    Description: We describe a general approach to designing two-dimensional (2D) protein arrays mediated by noncovalent protein-protein interfaces. Protein homo-oligomers are placed into one of the seventeen 2D layer groups, the degrees of freedom of the lattice are sampled to identify configurations with shape-complementary interacting surfaces, and the interaction energy is minimized using sequence design calculations. We used the method to design proteins that self-assemble into layer groups P 3 2 1, P 4 2(1) 2, and P 6. Projection maps of micrometer-scale arrays, assembled both in vitro and in vivo, are consistent with the design models and display the target layer group symmetry. Such programmable 2D protein lattices should enable new approaches to structure determination, sensing, and nanomaterial engineering.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gonen, Shane -- DiMaio, Frank -- Gonen, Tamir -- Baker, David -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Jun 19;348(6241):1365-8. doi: 10.1126/science.aaa9897.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA. Department of Biochemistry, University of Washington, Seattle, WA 98195, USA. Institute for Protein Design, University of Washington, Seattle, WA 98195, USA. Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA. ; Department of Biochemistry, University of Washington, Seattle, WA 98195, USA. Institute for Protein Design, University of Washington, Seattle, WA 98195, USA. ; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA. gonent@janelia.hhmi.org dabaker@uw.edu. ; Department of Biochemistry, University of Washington, Seattle, WA 98195, USA. Institute for Protein Design, University of Washington, Seattle, WA 98195, USA. Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA. gonent@janelia.hhmi.org dabaker@uw.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26089516" target="_blank"〉PubMed〈/a〉
    Keywords: *Computer-Aided Design ; Cryoelectron Microscopy ; *Protein Array Analysis ; Protein Engineering/*methods ; Proteins/*chemistry
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2015-12-18
    Description: A central question in protein evolution is the extent to which naturally occurring proteins sample the space of folded structures accessible to the polypeptide chain. Repeat proteins composed of multiple tandem copies of a modular structure unit are widespread in nature and have critical roles in molecular recognition, signalling, and other essential biological processes. Naturally occurring repeat proteins have been re-engineered for molecular recognition and modular scaffolding applications. Here we use computational protein design to investigate the space of folded structures that can be generated by tandem repeating a simple helix-loop-helix-loop structural motif. Eighty-three designs with sequences unrelated to known repeat proteins were experimentally characterized. Of these, 53 are monomeric and stable at 95 degrees C, and 43 have solution X-ray scattering spectra consistent with the design models. Crystal structures of 15 designs spanning a broad range of curvatures are in close agreement with the design models with root mean square deviations ranging from 0.7 to 2.5 A. Our results show that existing repeat proteins occupy only a small fraction of the possible repeat protein sequence and structure space and that it is possible to design novel repeat proteins with precisely specified geometries, opening up a wide array of new possibilities for biomolecular engineering.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Brunette, T J -- Parmeggiani, Fabio -- Huang, Po-Ssu -- Bhabha, Gira -- Ekiert, Damian C -- Tsutakawa, Susan E -- Hura, Greg L -- Tainer, John A -- Baker, David -- GM105404/GM/NIGMS NIH HHS/ -- K99GM112982/GM/NIGMS NIH HHS/ -- R01 GM105404/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Dec 24;528(7583):580-4. doi: 10.1038/nature16162. Epub 2015 Dec 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA. ; Institute for Protein Design, University of Washington, Seattle, Washington 98195, USA. ; Department of Cellular and Molecular Pharmacology, UCSF, San Francisco, California 94158, USA. ; Department of Microbiology and Immunology, UCSF, San Francisco, California 94158, USA. ; Molecular Biophysics &Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. ; Department of Chemistry and Biochemistry, University of California, Santa Cruz, California 95064, USA. ; Department of Molecular and Cellular Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030, USA. ; Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26675729" target="_blank"〉PubMed〈/a〉
    Keywords: *Amino Acid Motifs ; Amino Acid Sequence ; *Bioengineering ; *Computer Simulation ; Crystallography, X-Ray ; Models, Molecular ; *Protein Conformation ; Protein Folding ; Protein Stability ; Proteins/*chemistry ; Temperature
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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