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PDBsum entry 2wqh
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De novo protein
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PDB id
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2wqh
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Contents |
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* Residue conservation analysis
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Proteins
78:2131-2143
(2010)
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PubMed id:
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Self-association of TPR domains: Lessons learned from a designed, consensus-based TPR oligomer.
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A.M.Krachler,
A.Sharma,
C.Kleanthous.
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ABSTRACT
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The tetratricopeptide repeat (TPR) motif is a protein-protein interaction module
that acts as an organizing centre for complexes regulating a multitude of
biological processes. Despite accumulating evidence for the formation of TPR
oligomers as an additional level of regulation there is a lack of structural and
solution data explaining TPR self-association. In the present work we
characterize the trimeric TPR-containing protein YbgF, which is linked to the
Tol system in Gram-negative bacteria. By subtracting previously identified TPR
consensus residues required for stability of the fold from residues conserved
across YbgF homologs, we identified residues involved in oligomerization of the
C-terminal YbgF TPR domain. Crafting these residues, which are located in loop
regions between TPR motifs, onto the monomeric consensus TPR protein CTPR3
induced the formation of oligomers. The crystal structure of this engineered
oligomer shows an asymmetric trimer where stacking interactions between the
introduced tyrosines and displacement of the C-terminal hydrophilic capping
helix, present in most TPR domains, are key to oligomerization. Asymmetric
trimerization of the YbgF TPR domain and CTPR3Y3 leads to the formation of
higher order oligomers both in the crystal and in solution. However, such
open-ended self-association does not occur in full-length YbgF suggesting that
the protein's N-terminal coiled-coil domain restricts further oligomerization.
This interpretation is borne out in experiments where the coiled-coil domain of
YbgF was engineered onto the N-terminus of CTPR3Y3 and shown to block
self-association beyond trimerization. Our study lays the foundations for
understanding the structural basis for TPR domain self-association and how such
self-association can be regulated in TPR domain-containing proteins.
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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.Sircar,
S.Chaudhury,
K.P.Kilambi,
M.Berrondo,
and
J.J.Gray
(2010).
A generalized approach to sampling backbone conformations with RosettaDock for CAPRI rounds 13-19.
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Proteins,
78,
3115-3123.
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C.Pons,
A.Solernou,
L.Perez-Cano,
S.Grosdidier,
and
J.Fernandez-Recio
(2010).
Optimization of pyDock for the new CAPRI challenges: Docking of homology-based models, domain-domain assembly and protein-RNA binding.
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Proteins,
78,
3182-3188.
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D.Kozakov,
D.R.Hall,
D.Beglov,
R.Brenke,
S.R.Comeau,
Y.Shen,
K.Li,
J.Zheng,
P.Vakili,
I.C.h.Paschalidis,
and
S.Vajda
(2010).
Achieving reliability and high accuracy in automated protein docking: ClusPro, PIPER, SDU, and stability analysis in CAPRI rounds 13-19.
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Proteins,
78,
3124-3130.
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J.Janin
(2010).
The targets of CAPRI Rounds 13-19.
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Proteins,
78,
3067-3072.
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M.Bueno,
N.A.Temiz,
and
C.J.Camacho
(2010).
Novel modulation factor quantifies the role of water molecules in protein interactions.
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Proteins,
78,
3226-3234.
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M.Eisenstein,
A.Ben-Shimon,
Z.Frankenstein,
and
N.Kowalsman
(2010).
CAPRI targets T29-T42: proving ground for new docking procedures.
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Proteins,
78,
3174-3181.
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M.F.Lensink,
and
S.J.Wodak
(2010).
Docking and scoring protein interactions: CAPRI 2009.
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Proteins,
78,
3073-3084.
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M.F.Lensink,
and
S.J.Wodak
(2010).
Blind predictions of protein interfaces by docking calculations in CAPRI.
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Proteins,
78,
3085-3095.
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M.T.Murakami,
M.L.Sforça,
J.L.Neves,
J.H.Paiva,
M.N.Domingues,
A.L.Pereira,
A.C.Zeri,
and
C.E.Benedetti
(2010).
The repeat domain of the type III effector protein PthA shows a TPR-like structure and undergoes conformational changes upon DNA interaction.
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Proteins,
78,
3386-3395.
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O.N.Demerdash,
A.Buyan,
and
J.C.Mitchell
(2010).
ReplicOpter: a replicate optimizer for flexible docking.
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Proteins,
78,
3156-3165.
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S.Fiorucci,
and
M.Zacharias
(2010).
Binding site prediction and improved scoring during flexible protein-protein docking with ATTRACT.
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Proteins,
78,
3131-3139.
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S.J.de Vries,
A.S.Melquiond,
P.L.Kastritis,
E.Karaca,
A.Bordogna,
M.van Dijk,
J.P.Rodrigues,
and
A.M.Bonvin
(2010).
Strengths and weaknesses of data-driven docking in critical assessment of prediction of interactions.
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Proteins,
78,
3242-3249.
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S.Qin,
and
H.X.Zhou
(2010).
Selection of near-native poses in CAPRI rounds 13-19.
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Proteins,
78,
3166-3173.
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S.Y.Huang,
and
X.Zou
(2010).
MDockPP: A hierarchical approach for protein-protein docking and its application to CAPRI rounds 15-19.
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Proteins,
78,
3096-3103.
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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.
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