Literature DB >> 22632833

Increasing sequence diversity with flexible backbone protein design: the complete redesign of a protein hydrophobic core.

Grant S Murphy1, Jeffrey L Mills, Michael J Miley, Mischa Machius, Thomas Szyperski, Brian Kuhlman.   

Abstract

Protein design tests our understanding of protein stability and structure. Successful design methods should allow the exploration of sequence space not found in nature. However, when redesigning naturally occurring protein structures, most fixed backbone design algorithms return amino acid sequences that share strong sequence identity with wild-type sequences, especially in the protein core. This behavior places a restriction on functional space that can be explored and is not consistent with observations from nature, where sequences of low identity have similar structures. Here, we allow backbone flexibility during design to mutate every position in the core (38 residues) of a four-helix bundle protein. Only small perturbations to the backbone, 1-2 Å, were needed to entirely mutate the core. The redesigned protein, DRNN, is exceptionally stable (melting point >140°C). An NMR and X-ray crystal structure show that the side chains and backbone were accurately modeled (all-atom RMSD = 1.3 Å).
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22632833      PMCID: PMC3372604          DOI: 10.1016/j.str.2012.03.026

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  68 in total

Review 1.  Energy functions for protein design.

Authors:  D B Gordon; S A Marshall; S L Mayo
Journal:  Curr Opin Struct Biol       Date:  1999-08       Impact factor: 6.809

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Authors:  Torsten Herrmann; Peter Güntert; Kurt Wüthrich
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3.  Computing van der Waals energies in the context of the rotamer approximation.

Authors:  Gevorg Grigoryan; Alejandro Ochoa; Amy E Keating
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4.  Toward full-sequence de novo protein design with flexible templates for human beta-defensin-2.

Authors:  Ho Ki Fung; Christodoulos A Floudas; Martin S Taylor; Li Zhang; Dimitrios Morikis
Journal:  Biophys J       Date:  2007-09-07       Impact factor: 4.033

5.  A simple model of backbone flexibility improves modeling of side-chain conformational variability.

Authors:  Gregory D Friedland; Anthony J Linares; Colin A Smith; Tanja Kortemme
Journal:  J Mol Biol       Date:  2008-05-11       Impact factor: 5.469

6.  Global analysis of the thermal and chemical denaturation of the N-terminal domain of the ribosomal protein L9 in H2O and D2O. Determination of the thermodynamic parameters, deltaH(o), deltaS(o), and deltaC(o)p and evaluation of solvent isotope effects.

Authors:  B Kuhlman; D P Raleigh
Journal:  Protein Sci       Date:  1998-11       Impact factor: 6.725

7.  Protein backbone angle restraints from searching a database for chemical shift and sequence homology.

Authors:  G Cornilescu; F Delaglio; A Bax
Journal:  J Biomol NMR       Date:  1999-03       Impact factor: 2.835

8.  Torsion angle dynamics for NMR structure calculation with the new program DYANA.

Authors:  P Güntert; C Mumenthaler; K Wüthrich
Journal:  J Mol Biol       Date:  1997-10-17       Impact factor: 5.469

9.  Features and development of Coot.

Authors:  P Emsley; B Lohkamp; W G Scott; K Cowtan
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10.  Stereospecific nuclear magnetic resonance assignments of the methyl groups of valine and leucine in the DNA-binding domain of the 434 repressor by biosynthetically directed fractional 13C labeling.

Authors:  D Neri; T Szyperski; G Otting; H Senn; K Wüthrich
Journal:  Biochemistry       Date:  1989-09-19       Impact factor: 3.162

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  19 in total

1.  Optimization of rotamers prior to template minimization improves stability predictions made by computational protein design.

Authors:  James A Davey; Roberto A Chica
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2.  Computational de novo design of a four-helix bundle protein--DND_4HB.

Authors:  Grant S Murphy; Bharatwaj Sathyamoorthy; Bryan S Der; Mischa C Machius; Surya V Pulavarti; Thomas Szyperski; Brian Kuhlman
Journal:  Protein Sci       Date:  2014-11-06       Impact factor: 6.725

Review 3.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

Authors:  Tatiana Maximova; Ryan Moffatt; Buyong Ma; Ruth Nussinov; Amarda Shehu
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

Review 4.  The coming of age of de novo protein design.

Authors:  Po-Ssu Huang; Scott E Boyken; David Baker
Journal:  Nature       Date:  2016-09-15       Impact factor: 49.962

Review 5.  Designing protein structures and complexes with the molecular modeling program Rosetta.

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Journal:  J Biol Chem       Date:  2019-11-07       Impact factor: 5.157

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Journal:  J Biol Chem       Date:  2018-06-05       Impact factor: 5.157

Review 7.  Energy functions in de novo protein design: current challenges and future prospects.

Authors:  Zhixiu Li; Yuedong Yang; Jian Zhan; Liang Dai; Yaoqi Zhou
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

8.  The role of negative selection in protein evolution revealed through the energetics of the native state ensemble.

Authors:  Jordan Hoffmann; James O Wrabl; Vincent J Hilser
Journal:  Proteins       Date:  2016-02-13

9.  New insights into the interdependence between amino acid stereochemistry and protein structure.

Authors:  Alice Qinhua Zhou; Diego Caballero; Corey S O'Hern; Lynne Regan
Journal:  Biophys J       Date:  2013-11-19       Impact factor: 4.033

Review 10.  Protein stability: computation, sequence statistics, and new experimental methods.

Authors:  Thomas J Magliery
Journal:  Curr Opin Struct Biol       Date:  2015-08       Impact factor: 6.809

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