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De novo design of a non-local β-sheet protein with high stability and accuracy
E. Marcos, TM. Chidyausiku, AC. McShan, T. Evangelidis, S. Nerli, L. Carter, LG. Nivón, A. Davis, G. Oberdorfer, K. Tripsianes, NG. Sgourakis, D. Baker,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Grantová podpora
Howard Hughes Medical Institute - United States
R35 GM125034
National Institute of General Medical Sciences - United States
S10 OD018455
Office of the Director - United States
NLK
ProQuest Central
od 2004-01-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 2004-01-01 do Před 1 rokem
- MeSH
- konformace proteinů, beta-řetězec MeSH
- konformace proteinů MeSH
- molekulární modely MeSH
- nukleární magnetická rezonance biomolekulární MeSH
- počítačová simulace MeSH
- proteinové inženýrství metody MeSH
- proteiny chemie genetika MeSH
- sbalování proteinů MeSH
- sekvence aminokyselin MeSH
- stabilita proteinů MeSH
- vodíková vazba MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
β-sheet proteins carry out critical functions in biology, and hence are attractive scaffolds for computational protein design. Despite this potential, de novo design of all-β-sheet proteins from first principles lags far behind the design of all-α or mixed-αβ domains owing to their non-local nature and the tendency of exposed β-strand edges to aggregate. Through study of loops connecting unpaired β-strands (β-arches), we have identified a series of structural relationships between loop geometry, side chain directionality and β-strand length that arise from hydrogen bonding and packing constraints on regular β-sheet structures. We use these rules to de novo design jellyroll structures with double-stranded β-helices formed by eight antiparallel β-strands. The nuclear magnetic resonance structure of a hyperthermostable design closely matched the computational model, demonstrating accurate control over the β-sheet structure and loop geometry. Our results open the door to the design of a broad range of non-local β-sheet protein structures.
CEITEC Central European Institute of Technology Masaryk University Brno Czech Republic
Department of Chemistry and Biochemistry University of California Santa Cruz Santa Cruz CA USA
Citace poskytuje Crossref.org
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- $a Marcos, Enrique $u Department of Biochemistry, University of Washington, Seattle, WA, USA. emarcos82@gmail.com. Institute for Protein Design, University of Washington, Seattle, WA, USA. emarcos82@gmail.com. Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology, Barcelona, Spain. emarcos82@gmail.com.
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- $a De novo design of a non-local β-sheet protein with high stability and accuracy / $c E. Marcos, TM. Chidyausiku, AC. McShan, T. Evangelidis, S. Nerli, L. Carter, LG. Nivón, A. Davis, G. Oberdorfer, K. Tripsianes, NG. Sgourakis, D. Baker,
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- $a β-sheet proteins carry out critical functions in biology, and hence are attractive scaffolds for computational protein design. Despite this potential, de novo design of all-β-sheet proteins from first principles lags far behind the design of all-α or mixed-αβ domains owing to their non-local nature and the tendency of exposed β-strand edges to aggregate. Through study of loops connecting unpaired β-strands (β-arches), we have identified a series of structural relationships between loop geometry, side chain directionality and β-strand length that arise from hydrogen bonding and packing constraints on regular β-sheet structures. We use these rules to de novo design jellyroll structures with double-stranded β-helices formed by eight antiparallel β-strands. The nuclear magnetic resonance structure of a hyperthermostable design closely matched the computational model, demonstrating accurate control over the β-sheet structure and loop geometry. Our results open the door to the design of a broad range of non-local β-sheet protein structures.
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- $a Chidyausiku, Tamuka M $u Department of Biochemistry, University of Washington, Seattle, WA, USA. Institute for Protein Design, University of Washington, Seattle, WA, USA.
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- $a Nerli, Santrupti $u Department of Chemistry and Biochemistry, University of California, Santa Cruz, Santa Cruz, CA, USA. Department of Computer Science, University of California, Santa Cruz, Santa Cruz, CA, USA.
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- $a Carter, Lauren $u Department of Biochemistry, University of Washington, Seattle, WA, USA. Institute for Protein Design, University of Washington, Seattle, WA, USA.
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- $a Nivón, Lucas G $u Department of Biochemistry, University of Washington, Seattle, WA, USA. Institute for Protein Design, University of Washington, Seattle, WA, USA. Cyrus Biotechnology, Seattle, WA, USA.
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- $a Oberdorfer, Gustav $u Department of Biochemistry, University of Washington, Seattle, WA, USA. Institute for Protein Design, University of Washington, Seattle, WA, USA. Institute of Biochemistry, Graz University of Technology, Graz, Austria.
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