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H.E.J. Research Institute of Chemistry,
International Center for Chemical and Biological Sciences,
University of Karachi,
Karachi
Chem-727 (Bioinformatics)
Lecture-21
Patterns and Profiles in Bioinformatics
EFGHIVW
EYAHMIW
DYAHSLW
EFGHPLW
[ED]- [FY]- H-[GA]- X- [VIL]- W
A pattern obtained from
multiple alignment of a
family of proteins.
Conserved pattern in ‘Leucine zipper motif’ containing proteins
L-X(6)-L-X(6)-L-X(6)-L
EFGHIVW
EYAHMIW
DYAHSLW
EFGHPLW
[ED]- [FY]- H-[GA]- X- [VIL]- W
A pattern obtained from
multiple alignment of a
family of proteins.
But – there are slightly
more glutamates than
aspartates in the
alignment!
Making profile
let’s add some numbers to the
problem!
EFGHIVW
EYAHMIW
DYAHSLW
EFGHPLW
E
D
F
Y
H
G
A
I
M
S
P
L
V
W
One
15
5
0
0
0
0
0
0
0
0
0
0
0
0
Two
0
0
10
10
0
0
0
0
0
0
0
0
0
0
Three
0
0
0
0
0
10
10
0
0
0
0
0
0
0
Four
0
0
0
0
20
0
0
0
0
0
0
0
0
0
Five
0
0
0
0
0
0
0
5
5
5
5
0
0
0
Six
0
0
0
0
0
0
0
5
0
0
0
10
5
0
Seven
0
0
0
0
0
0
0
0
0
0
0
0
0
20
Positions
Significance of Patterns and Profiles
• Profiles express the patterns inherent in multiple alignment of a set
of homologous sequences.
• They permit greater accuracy in alignments of distantly-related
sequences.
• Highly conserved residues are likely to be part of the active site
• Conservation patterns facilitate identification of other homologous
sequences.
• Patterns help in classifying subfamilies within a set of homologues.
• Residues with little conservation and are subject to indels, are likely
to be in the surface loops of protein structures.
• Reliability of protein-structure prediction methods (in particular
homology modeling) increase due to information obtained from
multiple alignments
PROSITE; premier bioinformatics service for
identification of patterns and profiles
• PROSITE is a database of protein families and domains.It
consists of entries describing the domains, families and
functional sites as well as amino acid patterns, signatures, and
profiles in them.
• Applications include (a) identifying possible functions of
newly discovered proteins and (b) analysis of known proteins
for previously undetermined activity.
• Prosite outputs contain information about biologically
meaningful residues, like active sites, substrate- or co-factor-
binding sites, posttranslational modification sites or disulfide
bonds, to help function determination.
• E.g. prediction of phosphorylation/glycosylation sites in
protein sequences.
http://www.expasy.ch/prosite
http://protein.toulouse.inra.fr/prodomCG.html
http://www.ebi.ac.uk/interpro
http://www.sanger.ac.uk/pfam
• Pfam-A
– 7,255 Curated families with
annotation.
• Pfam-B
– 365,172 families derived from
Prodom.
http://smart.embl-heidelberg.de/

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Bioinformatics lecture xxi

  • 1. H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi Chem-727 (Bioinformatics) Lecture-21 Patterns and Profiles in Bioinformatics
  • 2. EFGHIVW EYAHMIW DYAHSLW EFGHPLW [ED]- [FY]- H-[GA]- X- [VIL]- W A pattern obtained from multiple alignment of a family of proteins.
  • 3. Conserved pattern in ‘Leucine zipper motif’ containing proteins L-X(6)-L-X(6)-L-X(6)-L
  • 4. EFGHIVW EYAHMIW DYAHSLW EFGHPLW [ED]- [FY]- H-[GA]- X- [VIL]- W A pattern obtained from multiple alignment of a family of proteins. But – there are slightly more glutamates than aspartates in the alignment!
  • 5. Making profile let’s add some numbers to the problem! EFGHIVW EYAHMIW DYAHSLW EFGHPLW E D F Y H G A I M S P L V W One 15 5 0 0 0 0 0 0 0 0 0 0 0 0 Two 0 0 10 10 0 0 0 0 0 0 0 0 0 0 Three 0 0 0 0 0 10 10 0 0 0 0 0 0 0 Four 0 0 0 0 20 0 0 0 0 0 0 0 0 0 Five 0 0 0 0 0 0 0 5 5 5 5 0 0 0 Six 0 0 0 0 0 0 0 5 0 0 0 10 5 0 Seven 0 0 0 0 0 0 0 0 0 0 0 0 0 20 Positions
  • 6. Significance of Patterns and Profiles • Profiles express the patterns inherent in multiple alignment of a set of homologous sequences. • They permit greater accuracy in alignments of distantly-related sequences. • Highly conserved residues are likely to be part of the active site • Conservation patterns facilitate identification of other homologous sequences. • Patterns help in classifying subfamilies within a set of homologues. • Residues with little conservation and are subject to indels, are likely to be in the surface loops of protein structures. • Reliability of protein-structure prediction methods (in particular homology modeling) increase due to information obtained from multiple alignments
  • 7. PROSITE; premier bioinformatics service for identification of patterns and profiles • PROSITE is a database of protein families and domains.It consists of entries describing the domains, families and functional sites as well as amino acid patterns, signatures, and profiles in them. • Applications include (a) identifying possible functions of newly discovered proteins and (b) analysis of known proteins for previously undetermined activity. • Prosite outputs contain information about biologically meaningful residues, like active sites, substrate- or co-factor- binding sites, posttranslational modification sites or disulfide bonds, to help function determination. • E.g. prediction of phosphorylation/glycosylation sites in protein sequences.
  • 12. • Pfam-A – 7,255 Curated families with annotation. • Pfam-B – 365,172 families derived from Prodom.