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Title: Presentazione di PowerPoint


1
From 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
3
Molecular function
The paradigm
Molecular structure
Sequence
4
  • Comparative modeling
  • based on evolution
  • Fold recognition
  • based on fold recurrence
  • New folds

Structure prediction methods
5
Structure prediction methods Comparative
modeling
6
r.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
7
AVGIFRAAVCTRGVAKAVDFVP

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
8
The 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
10
Structure 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
12
AVGIFRAAVCTRGVAKAVDFVP
AVGIFR
AAVCTR
GVAKAVDF
Structure prediction methods New folds
Bystroff and Baker, JMB, 1998
13
AVGIFRAAVCTRGVAKAVDFVP
AVGIFR
AAVCTR
GVAKAVDF
Structure prediction methods New folds
Bystroff and Baker, JMB, 1998
14
AVGIFRAAVCTRGVAKAVDFVP
AVGIFR
AAVCTR
GVAKAVDF
Structure prediction methods New folds
Bystroff and Baker, JMB, 1998
15
AVGIFRAAVCTRGVAKAVDFVP
AVGIFR
AAVCTR
GVAKAVDF
Structure prediction methods New folds
Bystroff and Baker, JMB, 1998
16
AVGIFRAAVCTRGVAKAVDFVP
AVGIFR
AAVCTR
GVAKAVDF
Structure prediction methods New folds
Score and select model
Bystroff and Baker, JMB, 1998
17
CASP Critical assessment of techniques for
protein structure prediction
Structure prediction evaluation
Moult et al., Proteins, 1995
18
Targets
Groups
Structure prediction evaluation
Models
19
CASP5
Structure prediction evaluation
Tramontano and Morea, Proteins, 2002
20
Is 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
21
Structural genomics
22
Structural genomics
If the alignments are correct, these two protein
structures are expected to be predicted with
equivalent accuracy
23
25
24
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
24
Which 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
25
CASP4 and CASP5 Best models
Structure prediction methods Alignment accuracy
Cozzetto and Tramontano, Proteins, in press
26
CASP4 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
28
59 targets
Function prediction category
Soro and Tramontano, in progress
29
59 targets
50
40
30
Function prediction category
20
10
0
Medline
Swissprot
Pfam
??
Soro and Tramontano, in progress
30
Will the knowledge of the experimental structure
affect the predictions?
Function prediction category
31
Krzysztof 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
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