Title: Presentazione di PowerPoint
1From sequence to structure to function future
or fantasy?
1st International Symposium on Biological and
Medical Data Analysis
Anna Tramontano
2- Structure prediction methods
- Observed and expected accuracy
- Future perspectives
Outline
3Molecular function
The paradigm
Molecular structure
Sequence
4- Comparative modeling
- based on evolution
- Fold recognition
- based on fold recurrence
- New folds
-
Structure prediction methods
5Structure prediction methods Comparative
modeling
6r.m.s.d. (1/N S d2)1/2
Structure prediction methods Comparative
modeling
Fraction sequence identity after structural
superposition
Chothia and Lesk, EMBO J., 1986
7AVGIFRAAVCTRGVAKAVDFVP
AVGIFRAAVCTRGVAKAVDFVP
AIGIWRSATCTKGVAKA--FVA
Structure prediction methods Comparative
modeling
If the alignment is correct, we can use the
Chothia and Lesk relationship to predict the
expected quality of the model
8The best methods construct several initial models
for the protein
Structure prediction methods Comparative
modeling
9- Comparative modeling
- based on evolution
- Fold recognition
- based on fold recurrence
- New folds
Structure prediction methods
10Structure prediction methods Fold recognition
Score and select model
Orengo, Curr. Op. Str. Biol, 1994
11- Comparative modeling
- based on evolution
- Fold recognition
- based on fold recurrence
- New folds
-
Structure prediction methods
12AVGIFRAAVCTRGVAKAVDFVP
AVGIFR
AAVCTR
GVAKAVDF
Structure prediction methods New folds
Bystroff and Baker, JMB, 1998
13AVGIFRAAVCTRGVAKAVDFVP
AVGIFR
AAVCTR
GVAKAVDF
Structure prediction methods New folds
Bystroff and Baker, JMB, 1998
14AVGIFRAAVCTRGVAKAVDFVP
AVGIFR
AAVCTR
GVAKAVDF
Structure prediction methods New folds
Bystroff and Baker, JMB, 1998
15AVGIFRAAVCTRGVAKAVDFVP
AVGIFR
AAVCTR
GVAKAVDF
Structure prediction methods New folds
Bystroff and Baker, JMB, 1998
16AVGIFRAAVCTRGVAKAVDFVP
AVGIFR
AAVCTR
GVAKAVDF
Structure prediction methods New folds
Score and select model
Bystroff and Baker, JMB, 1998
17CASP Critical assessment of techniques for
protein structure prediction
Structure prediction evaluation
Moult et al., Proteins, 1995
18Targets
Groups
Structure prediction evaluation
Models
19CASP5
Structure prediction evaluation
Tramontano and Morea, Proteins, 2002
20Is there progress?
CASP4 and CASP5 Best models
120.00
100.00
80.00
Structure prediction methods Alignment accuracy
max AL0
60.00
40.00
20.00
0.00
0
10
20
30
40
50
60
id
Cozzetto and Tramontano, Proteins, in press
21Structural genomics
22Structural genomics
If the alignments are correct, these two protein
structures are expected to be predicted with
equivalent accuracy
2325
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14
26
31
26
Structure prediction methods Alignment accuracy
18
14
12
Template
10
Target
30
23
15
20
31
Cozzetto and Tramontano, Proteins, in press
24Which is the most difficult pair-wise alignment
that we need to carry out?
25
24
14
26
31
26
Structure prediction methods Alignment accuracy
18
14
12
Template
10
Target
30
23
15
20
31
m 25
Cozzetto and Tramontano, Proteins, in press
25CASP4 and CASP5 Best models
Structure prediction methods Alignment accuracy
Cozzetto and Tramontano, Proteins, in press
26CASP4 and CASP5 Best models
Structure prediction methods Alignment accuracy
Cozzetto and Tramontano, Proteins, in press
27- CASP is known for the assessment of structure
prediction but it also assesses - Domain prediction
- Disorder prediction
- Contact prediction
- Function
Function prediction category
Soro and Tramontano, in progress
2859 targets
Function prediction category
Soro and Tramontano, in progress
2959 targets
50
40
30
Function prediction category
20
10
0
Medline
Swissprot
Pfam
??
Soro and Tramontano, in progress
30Will the knowledge of the experimental structure
affect the predictions?
Function prediction category
31Krzysztof Fidelis Tim Hubbard Andriy
Kryshtafovych John Moult Burkhard Rost Adam
Zemla Structural biologists Predictors Tiziana
Castrignano
Claudia Bonaccini Domenico Cozzetto Veronica
Morea Romina Oliva Simonetta Soro Raphael
Leplae Elisabetta Pizzi Raffaele De
Francesco Asutosh Yagnik
Acknowledgements
BioSapiens - EU VI Framework Ministero della
Salute Universita' di Roma Istituto Pasteur Roma
Facolta' di Medicina San Paolo CNR