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PDBsum entry 2zl1

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protein Protein-protein interface(s) links
Protein binding PDB id
2zl1

 

 

 

 

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Contents
Protein chains
119 a.a. *
116 a.a. *
Waters ×110
* Residue conservation analysis
PDB id:
2zl1
Name: Protein binding
Title: Mp1-p14 scaffolding complex
Structure: Mitogen-activated protein kinase kinase 1-interacting protein 1. Chain: a. Synonym: mek-binding partner 1, mp1. Engineered: yes. Mutation: yes. Mitogen-activated protein-binding protein-interacting protein. Chain: b.
Source: Homo sapiens. Human. Gene: map2k1ip1. Expressed in: escherichia coli. Mus musculus. Mouse. Gene: mapbpip.
Resolution:
2.00Å     R-factor:   0.205     R-free:   0.256
Authors: J.D.Schrag,M.Cygler,C.Munger,A.Magloire
Key ref: Q.Cui et al. (2008). Molecular dynamics-solvated interaction energy studies of protein-protein interactions: the MP1-p14 scaffolding complex. J Mol Biol, 379, 787-802. PubMed id: 18479705
Date:
02-Apr-08     Release date:   24-Jun-08    
PROCHECK
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 Headers
 References

Protein chain
Pfam   ArchSchema ?
Q9UHA4  (LTOR3_HUMAN) -  Ragulator complex protein LAMTOR3 from Homo sapiens
Seq:
Struc:
124 a.a.
119 a.a.*
Protein chain
Pfam   ArchSchema ?
Q9JHS3  (LTOR2_MOUSE) -  Ragulator complex protein LAMTOR2 from Mus musculus
Seq:
Struc:
125 a.a.
116 a.a.
Key:    PfamA domain  Secondary structure  CATH domain
* PDB and UniProt seqs differ at 2 residue positions (black crosses)

 Enzyme reactions 
   Enzyme class: Chains A, B: E.C.?
[IntEnz]   [ExPASy]   [KEGG]   [BRENDA]

 

 
J Mol Biol 379:787-802 (2008)
PubMed id: 18479705  
 
 
Molecular dynamics-solvated interaction energy studies of protein-protein interactions: the MP1-p14 scaffolding complex.
Q.Cui, T.Sulea, J.D.Schrag, C.Munger, M.N.Hung, M.Naïm, M.Cygler, E.O.Purisima.
 
  ABSTRACT  
 
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.
 

Literature references that cite this PDB file's key reference

  PubMed id Reference
20656696 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.
  Protein Eng Des Sel, 24, 197-207.  
20379755 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.
  J Mol Model, 17, 97.  
20213668 R.J.Falconer, A.Penkova, I.Jelesarov, and B.M.Collins (2010).
Survey of the year 2008: applications of isothermal titration calorimetry.
  J Mol Recognit, 23, 395-413.  
20194425 T.Watabe, and H.Kishino (2010).
Structural considerations in the fitness landscape of a virus.
  Mol Biol Evol, 27, 1782-1791.  
19483088 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.
  J Biol Chem, 284, 20989-21000.
PDB codes: 3hbm 3hbn
19624188 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.
  J Chem Phys, 131, 034114.  
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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