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PDBsum entry 2zl1
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Protein binding
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PDB id
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2zl1
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Contents |
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* Residue conservation analysis
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Enzyme class:
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Chains A, B:
E.C.?
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J Mol Biol
379:787-802
(2008)
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PubMed id:
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Molecular dynamics-solvated interaction energy studies of protein-protein interactions: the MP1-p14 scaffolding complex.
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Q.Cui,
T.Sulea,
J.D.Schrag,
C.Munger,
M.N.Hung,
M.Naïm,
M.Cygler,
E.O.Purisima.
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ABSTRACT
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Using the MP1-p14 scaffolding complex from the mitogen-activated protein kinase
signaling pathway as model system, we explored a structure-based computational
protocol to probe and characterize binding affinity hot spots at protein-protein
interfaces. Hot spots are located by virtual alanine-scanning consensus
predictions over three different energy functions and two different
single-structure representations of the complex. Refined binding affinity
predictions for select hot-spot mutations are carried out by applying
first-principle methods such as the molecular mechanics generalized Born surface
area (MM-GBSA) and solvated interaction energy (SIE) to the molecular dynamics
(MD) trajectories for mutated and wild-type complexes. Here, predicted hot-spot
residues were actually mutated to alanine, and crystal structures of the mutated
complexes were determined. Two mutated MP1-p14 complexes were investigated, the
p14(Y56A)-mutated complex and the MP1(L63A,L65A)-mutated complex. Alternative
ways to generate MD ensembles for mutant complexes, not relying on crystal
structures for mutated complexes, were also investigated. The SIE function,
fitted on protein-ligand binding affinities, gave absolute binding affinity
predictions in excellent agreement with experiment and outperformed standard
MM-GBSA predictions when tested on the MD ensembles of Ras-Raf and Ras-RalGDS
protein-protein complexes. For wild-type and mutant MP1-p14 complexes, SIE
predictions of relative binding affinities were supported by a yeast two-hybrid
assay that provided semiquantitative relative interaction strengths. Results on
the MP1-mutated complex suggested that SIE predictions deteriorate if mutant MD
ensembles are approximated by just mutating the wild-type MD trajectory. The SIE
data on the p14-mutated complex indicated feasibility for generating mutant MD
ensembles from mutated wild-type crystal structure, despite local structural
differences observed upon mutation. For energetic considerations, this would
circumvent costly needs to produce and crystallize mutated complexes. The
sensitized protein-protein interface afforded by the p14(Y56A) mutation
identified here has practical applications in screening-based discovery of
first-generation small-molecule hits for further development into specific
modulators of the mitogen-activated protein kinase signaling pathway.
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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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R.T.Bradshaw,
B.H.Patel,
E.W.Tate,
R.J.Leatherbarrow,
and
I.R.Gould
(2011).
Comparing experimental and computational alanine scanning techniques for probing a prototypical protein-protein interaction.
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Protein Eng Des Sel,
24,
197-207.
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S.Z.Fairchild,
M.W.Peterson,
A.Hamza,
C.G.Zhan,
D.M.Cerasoli,
and
W.E.Chang
(2011).
Computational characterization of how the VX nerve agent binds human serum paraoxonase 1.
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J Mol Model,
17,
97.
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R.J.Falconer,
A.Penkova,
I.Jelesarov,
and
B.M.Collins
(2010).
Survey of the year 2008: applications of isothermal titration calorimetry.
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J Mol Recognit,
23,
395-413.
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T.Watabe,
and
H.Kishino
(2010).
Structural considerations in the fitness landscape of a virus.
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Mol Biol Evol,
27,
1782-1791.
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E.S.Rangarajan,
A.Proteau,
Q.Cui,
S.M.Logan,
Z.Potetinova,
D.Whitfield,
E.O.Purisima,
M.Cygler,
A.Matte,
T.Sulea,
and
I.C.Schoenhofen
(2009).
Structural and functional analysis of Campylobacter jejuni PseG: a udp-sugar hydrolase from the pseudaminic acid biosynthetic pathway.
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J Biol Chem,
284,
20989-21000.
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PDB codes:
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I.Meliciani,
K.Klenin,
T.Strunk,
K.Schmitz,
and
W.Wenzel
(2009).
Probing hot spots on protein-protein interfaces with all-atom free-energy simulation.
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J Chem Phys,
131,
034114.
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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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