SH2 domain Nuria Bonifaci Francesc Estanyol Structural BioInformatics BIOINFO, 2007.
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Transcript of SH2 domain Nuria Bonifaci Francesc Estanyol Structural BioInformatics BIOINFO, 2007.
INDEX
• Introduction
• General traits of SH2 domain
• Proteins with SH2 domain
• Study of conservation– Sequence – Structure – Phylogenetic
Why are they called SH2?
• 1911 Peyton Rous discovers Sarcoma Rous Virus
• Tyrosine Kinase v-Src
• 3 domains:– Src homolog 1 (Kinase)– Src homolog 2 (SH2)– Src homolog 3 (SH3)
gag pol env V-src
INDEX
• Introduction
• General traits of SH2 domain
• Proteins with SH2 domain
• Study of conservation– Sequence – Structure – Phylogenetic
INDEX
• Introduction
• General traits of SH2 domain
• Proteins with SH2 domain
• Study of conservation– Sequence – Structure – Phylogenetic
-Kinases: Brk, Chk, Csk, Fyn, Hck, p55 (Blk), p56(lck), Pl3Kinase, Proto. oncogenTK, Src, Syk, Zap-70
- Phosphatases: Shp2, Syp
- Adapters: Aps, Crk Proto-oncogen, Gbr2, Gbr7, Gbr10, Mona
- Dna Bindings: Cbl, STAT1,STAT3b, STAThomolog
- Others: Eat2, PLCgamma, Sap
Types of proteins with SH2
INDEX
• Introduction
• General traits of SH2 domain
• Proteins with SH2 domain
• Study of conservation– Sequence – Structure – Phylogenetic
Sequence conservation
• ClustalW Multiple sequence alignment between the kinases
– Low conservation of the residues– High conservation of the characteristics
INDEX
• Introduction
• General traits of SH2 domain
• Proteins with SH2 domain
• Study of conservation– Sequence – Structure – Phylogenetic
Structural alignment using STAMP
Reading in matrix file kinases.mat...Doing cluster analysis...Cluster: 1 ( hck & lck ) Sc 7.90 RMS 1.01 Len 105 nfit 96 See file kinases.1 for the alignment and transformationsCluster: 2 ( blk & hck lck ) Sc 8.40 RMS 1.32 Len 108 nfit 96 See file kinases.2 for the alignment and transformationsCluster: 3 ( cskk & blk hck lck ) Sc 7.96 RMS 0.95 Len 107 nfit 85 See file kinases.3 for the alignment and transformationsCluster: 4 ( brk & cskk blk hck lck ) Sc 7.97 RMS 1.31 Len 106 nfit 84 See file kinases.4 for the alignment and transformationsCluster: 5 ( potk & brk cskk blk hck lck ) Sc 2.11 RMS 3.52 Len 163 nfit 24 See file kinases.5 for the alignment and transformationsCluster: 6 ( itk & potk brk cskk blk hck lck ) Sc 2.74 RMS 4.67 Len 187 nfit 25 See file kinases.6 for the alignment and transformationsCluster: 7 ( syk & itk potk brk cskk blk hck lck ) Sc 5.44 RMS 2.11 Len 191 nfit 24 See file kinases.7 for the alignment and transformationsCluster: 8 ( pi3k & syk itk potk brk cskk blk hck lck ) Sc 2.55 RMS 2.50 Len 245 nfit 13 See file kinases.8 for the alignment and transformationsCluster: 9 ( fyn & pi3k syk itk potk brk cskk blk hck lck ) Sc 3.05 RMS 1.71 Len 289 nfit 16 See file kinases.9 for the alignment and transformationsCluster: 10 ( zap & fyn pi3k syk itk potk brk cskk blk hck
lck ) Sc 0.31 RMS 100.00 Len 661 nfit 1 LOW SCORE See file kinases.10 for the alignment and transformations
With the hole protein !!!
We used our bioinformatic knowledge!!!
• Do a Phyton script to cut the PDB files given a starting and ending residue numbers
• Get the FASTA sequences of the resulting PDBs
But…where we can find the start/end residues?
Doing cluster analysis...Cluster: 1 ( lck & src ) Sc 9.14 RMS 0.80 Len 83 nfit 80 See file sh2.1 for the alignment and transformationsCluster: 2 ( zap & zap2 ) Sc 8.94 RMS 1.02 Len 78 nfit 75 See file sh2.2 for the alignment and transformationsCluster: 3 ( cskk & zap zap2 ) Sc 8.88 RMS 0.85 Len 79 nfit 65 See file sh2.3 for the alignment and transformationsCluster: 4 ( syk & cskk zap zap2 ) Sc 8.57 RMS 1.17 Len 80 nfit 63 See file sh2.4 for the alignment and transformationsCluster: 5 ( lck src & syk cskk zap zap2 ) Sc 8.52 RMS 0.82 Len 85 nfit 61 See file sh2.5 for the alignment and transformationsCluster: 6 ( itk & lck src syk cskk zap zap2 ) Sc 8.07 RMS 1.25 Len 89 nfit 60 See file sh2.6 for the alignment and transformationsCluster: 7 ( fyn & itk lck src syk cskk
zap zap2 ) Sc 6.05 RMS 1.07 Len 89 nfit 63 See file sh2.7 for the alignment and transformations
Scstructural similarity
funcional and/or
evolutionary relationships
Pij
5.5-9.8 high almost always greater than 6.0 genuine
2.5 - 5.5 more distantlydo not always
imply4.0 - 6.0 50%
less than 2.0 little overall less than 4.0 no
Doing cluster analysis...Cluster: 1 ( lck & src ) Sc 9.14 RMS 0.80 Len 83 nfit 80 See file sh2.1 for the alignment and transformationsCluster: 2 ( zap & zap2 ) Sc 8.94 RMS 1.02 Len 78 nfit 75 See file sh2.2 for the alignment and transformationsCluster: 3 ( cskk & zap zap2 ) Sc 8.88 RMS 0.85 Len 79 nfit 65 See file sh2.3 for the alignment and transformationsCluster: 4 ( syk & cskk zap zap2 ) Sc 8.57 RMS 1.17 Len 80 nfit 63 See file sh2.4 for the alignment and transformationsCluster: 5 ( lck src & syk cskk zap zap2 ) Sc 8.52 RMS 0.82 Len 85 nfit 61 See file sh2.5 for the alignment and transformationsCluster: 6 ( itk & lck src syk cskk zap zap2 ) Sc 8.07 RMS 1.25 Len 89 nfit 60 See file sh2.6 for the alignment and transformationsCluster: 7 ( fyn & itk lck src syk cskk
zap zap2 ) Sc 6.05 RMS 1.07 Len 89 nfit 63 See file sh2.7 for the alignment and transformations
Advanced options of STAMP
- Guide the program to do the superposition giving an initial alignment.– 1-. ClustalW of all the sequences.– 2-. > alignfit – f sh2.align –d sh2.domains –out sh2.trans
> stamp –l sh2.trans –prefix sh2Stamp
We can’t do it :- alignfit ?
- other .trans files didn’t work.
INDEX
• Introduction
• General traits of SH2 domain
• Proteins with SH2 domain
• Study of conservation– Sequence – Structure – Phylogenetic
Is the Arginin conserved through the evolution ?
Which Arginin is the one that interacts directly with pTyr ?
References - Bradshaw JM, Waksman G
Molecular Recognition by SH2 domains
- Bhushan Nagar, Oliver Hantschel, Markus Seeliger, Jason M. Davies, William I. Weis, Giulio Superti-Furga and John Kuriyan
Organization of the SH3-SH2 Unit in Active and Inactive Forms of the c-Abl Tyrosine Kinase
- The SRC kinases. http://jkweb.mcb.berkeley.edu (Berkeley Univeristy)