sequence homology treat or trick? fine grain structural classification using the t-rmsd method...
TRANSCRIPT
Sequence Homology
Treat or Trick?
Fine Grain Structural Classification using the T-RMSD method
Cedric NotredameLuis SerranoCedrik MagisFrançois StricherAlmer van der Slot
Same sequence Same structure
SameFunctio
n
SameOrigin
Same3D fold
SameSequen
ce
Same sequence Same structure ???
100% IdenticalSequence
Prion proteinPrP-c
(normal)
>P04156|23-230 / PRIO_HUMANKKRPKPGGWNTGGSRYPGQGSPGGNRYPPQGGGGWGQPHGGGWGQPHGGGWGQPHGGGWGQPHGGGWGQGGGTHSQWNKPSKPKTNMKHMAGAAAAGAVVGGLGGYMLGSAMSRPIIHFGSDYEDRYYRENMHRYPNQVYYRPMDEYSNQNNFVHDCVNITIKQHTVTTTTKGENFTETDVKMMERVVEQMCITQYERESQAYYQRGS
Prion proteinPrP-sc
(pathology)
100% IdenticalSequence
TNF Receptors (TNFRs)
Aggarwal, BB. Nat Rev Immunol. 2003 Sep;3(9):745-56.
Receptor Ligand
Intra Extra
TNFRs: The Cystein Rich Domains (CRDs)
Turn1
Loop1
Turn2
Loop2
TNFR and CRD Collections
Domain Databases
34
25 annotatednot identified
010
4
1
217
6 putatives not identified
UNIPROT
This suggests the CRDs are homogenous
Is it supported by 3D Superposition ?
Classifications
If they are so different and diverse– Can we classify them?– Can this classification bring functional information?
Structurally?
Not really…
Phylogeny?
Not quite there…
Add-hoc?
Maybe…
Add-hoc?
Maybe…Bodmer, JL., Schneider, P., Tschopp, J. Trends Biochem. Sci. 2002 Jan;27(1):19-26.
Add-hoc?
Half Domains Complex Explains Little
Maybe…
A new Classification ?
Is it possible to design a new classification– Structure based – Functionally informative– Predictive for TNFRs without a known structure
Yes if we can compare structures in a more informative way
The Standard Way: RMSD(Root Mean Square Deviation)
RMSD– Superpose the
Structures– Measure The deviation
D1 D2
D3
Y
X
W
Z
A Simpler Alternative: the iRMSD
D2
D1
D1
D2
T-RMSD: Trees based on iRMSD
d1
DistanceMatrix
P1
P1
UPGMAA
B
C
D
B
d2
ABCD
T-RMSD: Trees based on iRMSD
d1 d2
Consensus Tree
P1
A
B
C
D
C
B
A
D
A
B
C
D
C
B
A
D
ABCD
T-RMSD Vs Clustering
T-RMSD Vs Clustering
Does The Clustering Make Sense ?
Well Conserved Inserts ?
What Does the New Classification Predict ?
Type IType IIType IIIOutliers
What Does the New Classification Predict ?
Type IType IIType IIIOutliers
Nter CRDs (Pre Ligand Assembly
Domains, PLAD) are involved in the
complex formation
Next ???
New Classes ? New Functions ? New Structures
???
Next ???
Which Ligand How To Align These
things– MSA problem???
Summary
T-RMSD– Fine Grain Structural Classification
TNFRs/CRD– New typology– Structurally meaningful– Functionally informative– Predictive
T-RMSD is available for download and part of the T-Coffee package (www.tcoffee.org)
Collaborators
– Cedrik Magis– François Stricher– Almer van der Slot– Luis Serrano– Cedric Notredame