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* Residue conservation analysis
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DOI no:
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J Mol Biol
361:195-208
(2006)
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PubMed id:
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Computational design of a new hydrogen bond network and at least a 300-fold specificity switch at a protein-protein interface.
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L.A.Joachimiak,
T.Kortemme,
B.L.Stoddard,
D.Baker.
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ABSTRACT
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The redesign of protein-protein interactions is a stringent test of our
understanding of molecular recognition and specificity. Previously we engineered
a modest specificity switch into the colicin E7 DNase-Im7 immunity protein
complex by identifying mutations that are disruptive in the native complex, but
can be compensated by mutations on the interacting partner. Here we extend the
approach by systematically sampling alternate rigid body orientations to
optimize the interactions in a binding mode specific manner. Using this protocol
we designed a de novo hydrogen bond network at the DNase-immunity protein
interface and confirmed the design with X-ray crystallographic analysis.
Subsequent design of the second shell of interactions guided by insights from
the crystal structure on tightly bound water molecules, conformational strain,
and packing defects yielded new binding partners that exhibited specificities of
at least 300-fold between the cognate and the non-cognate complexes. This
multi-step approach should be applicable to the design of polar protein-protein
interactions and contribute to the re-engineering of regulatory networks
mediated by protein-protein interactions.
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Selected figure(s)
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Figure 4.
Figure 4. The N517Q mutation in the G design induces a
backbone shift in the DNase. Overlay of the design model (teal
and yellow side-chains) with the experimentally determined
structure (magenta and orange side-chains). The Q517 side-chain
in the G design crystal structure does not displace a tightly
bound water molecule (magenta, W12) resulting in a backbone
shift to accommodate a different Q side-chain rotamer. The
immunity protein backbones are colored in gray.
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Figure 5.
Figure 5. Structure-based optimization of the G design. The
DNase is colored in teal and the immunity protein in gray.
Residues participating in the interaction that have been changed
or were allowed to vary are shown in space-fill representation,
in green and yellow, respectively. (a) In the G design crystal
structure the T516 hydroxyl group makes a hydrogen bond to the
backbone carbonyl of I54, but the methyl group of the threonine
is sub-optimally packed. (b) In the wild-type interface N516
forms a water-mediated (magenta) hydrogen bond to the backbone
carbonyl of I54. Following sequence optimization surrounding
T516 using the G design structure, the two sequences with the
lowest predicted binding energies contained the L19V/I68F(c) and
I68W mutations (d) (named G_68F and G_68W, respectively).
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The above figures are
reprinted
by permission from Elsevier:
J Mol Biol
(2006,
361,
195-208)
copyright 2006.
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Figures were
selected
by an automated process.
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Literature references that cite this PDB file's key reference
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PubMed id
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Reference
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A.Morin,
K.W.Kaufmann,
C.Fortenberry,
J.M.Harp,
L.S.Mizoue,
and
J.Meiler
(2011).
Computational design of an endo-1,4-{beta}-xylanase ligand binding site.
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Protein Eng Des Sel,
24,
503-516.
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PDB codes:
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I.Samish,
C.M.MacDermaid,
J.M.Perez-Aguilar,
and
J.G.Saven
(2011).
Theoretical and computational protein design.
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Annu Rev Phys Chem,
62,
129-149.
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M.Kosloff,
A.M.Travis,
D.E.Bosch,
D.P.Siderovski,
and
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(2011).
Integrating energy calculations with functional assays to decipher the specificity of G protein-RGS protein interactions.
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Nat Struct Mol Biol,
18,
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O.Sharabi,
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Optimizing energy functions for protein-protein interface design.
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J Comput Chem,
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and
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(2010).
Capturing, sharing and analysing biophysical data from protein engineering and protein characterization studies.
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Nucleic Acids Res,
38,
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D.W.Sammond,
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Proteins,
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E.N.Salgado,
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B.Kuhlman,
and
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(2010).
Metal templated design of protein interfaces.
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Proc Natl Acad Sci U S A,
107,
1827-1832.
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PDB codes:
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F.Lauck,
C.A.Smith,
G.F.Friedland,
E.L.Humphris,
and
T.Kortemme
(2010).
RosettaBackrub--a web server for flexible backbone protein structure modeling and design.
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Nucleic Acids Res,
38,
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J.J.Havranek
(2010).
Specificity in computational protein design.
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J Biol Chem,
285,
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K.W.Kaufmann,
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S.L.Deluca,
J.H.Sheehan,
and
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(2010).
Practically useful: what the Rosetta protein modeling suite can do for you.
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Biochemistry,
49,
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N.A.Meenan,
A.Sharma,
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C.J.Macdonald,
B.Morel,
R.Boetzel,
G.R.Moore,
D.Baker,
and
C.Kleanthous
(2010).
The structural and energetic basis for high selectivity in a high-affinity protein-protein interaction.
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Proc Natl Acad Sci U S A,
107,
10080-10085.
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PDB code:
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Y.Lu
(2010).
Metal ions as matchmakers for proteins.
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Proc Natl Acad Sci U S A,
107,
1811-1812.
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C.J.Farady,
B.D.Sellers,
M.P.Jacobson,
and
C.S.Craik
(2009).
Improving the species cross-reactivity of an antibody using computational design.
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Bioorg Med Chem Lett,
19,
3744-3747.
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D.J.Mandell,
and
T.Kortemme
(2009).
Computer-aided design of functional protein interactions.
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Nat Chem Biol,
5,
797-807.
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H.Watanabe,
H.Matsumaru,
A.Ooishi,
Y.Feng,
T.Odahara,
K.Suto,
and
S.Honda
(2009).
Optimizing pH Response of Affinity between Protein G and IgG Fc: HOW ELECTROSTATIC MODULATIONS AFFECT PROTEIN-PROTEIN INTERACTIONS.
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J Biol Chem,
284,
12373-12383.
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PDB codes:
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J.Karanicolas,
and
B.Kuhlman
(2009).
Computational design of affinity and specificity at protein-protein interfaces.
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Curr Opin Struct Biol,
19,
458-463.
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J.N.Haidar,
B.Pierce,
Y.Yu,
W.Tong,
M.Li,
and
Z.Weng
(2009).
Structure-based design of a T-cell receptor leads to nearly 100-fold improvement in binding affinity for pepMHC.
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Proteins,
74,
948-960.
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M.Schneider,
X.Fu,
and
A.E.Keating
(2009).
X-ray vs. NMR structures as templates for computational protein design.
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Proteins,
77,
97.
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M.Suárez,
and
A.Jaramillo
(2009).
Challenges in the computational design of proteins.
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J R Soc Interface,
6,
S477-S491.
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O.Sharabi,
Y.Peleg,
E.Mashiach,
E.Vardy,
Y.Ashani,
I.Silman,
J.L.Sussman,
and
J.M.Shifman
(2009).
Design, expression and characterization of mutants of fasciculin optimized for interaction with its target, acetylcholinesterase.
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Protein Eng Des Sel,
22,
641-648.
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P.E.Purnick,
and
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(2009).
The second wave of synthetic biology: from modules to systems.
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Nat Rev Mol Cell Biol,
10,
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D.R.Livesay,
D.H.Huynh,
S.Dallakyan,
and
D.J.Jacobs
(2008).
Hydrogen bond networks determine emergent mechanical and thermodynamic properties across a protein family.
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Chem Cent J,
2,
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M.D.Altman,
E.A.Nalivaika,
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C.A.Schiffer,
and
B.Tidor
(2008).
Computational design and experimental study of tighter binding peptides to an inactivated mutant of HIV-1 protease.
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Proteins,
70,
678-694.
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PDB codes:
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P.Verdino,
C.Aldag,
D.Hilvert,
and
I.A.Wilson
(2008).
Closely related antibody receptors exploit fundamentally different strategies for steroid recognition.
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Proc Natl Acad Sci U S A,
105,
11725-11730.
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PDB codes:
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A.Shulman-Peleg,
M.Shatsky,
R.Nussinov,
and
H.J.Wolfson
(2007).
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BMC Biol,
5,
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D.Reichmann,
O.Rahat,
M.Cohen,
H.Neuvirth,
and
G.Schreiber
(2007).
The molecular architecture of protein-protein binding sites.
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Curr Opin Struct Biol,
17,
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Z.M.Eletr,
C.Purbeck,
R.J.Kimple,
D.P.Siderovski,
and
B.Kuhlman
(2007).
Structure-based protocol for identifying mutations that enhance protein-protein binding affinities.
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J Mol Biol,
371,
1392-1404.
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PDB code:
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J.C.Miller,
M.C.Holmes,
J.Wang,
D.Y.Guschin,
Y.L.Lee,
I.Rupniewski,
C.M.Beausejour,
A.J.Waite,
N.S.Wang,
K.A.Kim,
P.D.Gregory,
C.O.Pabo,
and
E.J.Rebar
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An improved zinc-finger nuclease architecture for highly specific genome editing.
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Nat Biotechnol,
25,
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P.Beltrao,
C.Kiel,
and
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(2007).
Structures in systems biology.
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Curr Opin Struct Biol,
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R.L.Rich,
and
D.G.Myszka
(2007).
Survey of the year 2006 commercial optical biosensor literature.
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J Mol Recognit,
20,
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S.G.Kang,
and
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(2007).
Computational protein design: structure, function and combinatorial diversity.
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Curr Opin Chem Biol,
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S.M.Lippow,
and
B.Tidor
(2007).
Progress in computational protein design.
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Curr Opin Biotechnol,
18,
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S.M.Lippow,
K.D.Wittrup,
and
B.Tidor
(2007).
Computational design of antibody-affinity improvement beyond in vivo maturation.
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Nat Biotechnol,
25,
1171-1176.
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The most recent references are shown first.
Citation data come partly from CiteXplore and partly
from an automated harvesting procedure. Note that this is likely to be
only a partial list as not all journals are covered by
either method. However, we are continually building up the citation data
so more and more references will be included with time.
Where a reference describes a PDB structure, the PDB
codes are
shown on the right.
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