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Principles of protein structure and stability.

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Potential energy = Van der Waals Electrostatic ... Final specific tertiary structure is formed by van der Waals interactions, HB, disulfide bonds. ... – PowerPoint PPT presentation

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Title: Principles of protein structure and stability.


1
Principles of protein structure and stability.
2
Polypeptide bond is formed between two amino
acids.
3
Backbone conformation is described by f and ?
angles.
Picture from T. Przytycka, 2002
4
Hierarchy of protein structure.
  1. Amino acid sequence
  2. Secondary structure
  3. Tertiary structure
  4. Quaternary structure

Picture from Branden Tooze Introduction to
protein structure
5
Right-handed alpha-helix.
  • Helix is stabilized by HB between backbone NH
    and backbone carbonyl atom.
  • Geometrical characteristics
  • 3.6 residues per turn
  • translation of 5.4 Ã… per turn
  • translation of 1.5 Ã… per residue

6
?-strand and ß-sheet.
7
Loop regions are at the surface of protein
molecules.
Adjacent antiparallel ß-strands are joined by
hairpin loops. Loops are more flexible than
helices and strands. Loops can carry binding and
active sites, functionally important sites.
Branden Tooze Introduction to protein
structure
8
Protein classification based on the secondary
structure content.
  • Class a - proteins with only a-helices
  • Class ß proteins with only ß-sheets
  • Class aß - proteins with a-helices and ß-sheets

9
Protein stability.Anfinsens experiments
10
Native proteins have low stability
  • Scale of interactions in proteins
  • - Interactions less than kT0.6 kcal/mol
  • are neglected.
  • - Interactions more than ?G 10 kcal/mol
  • are too large
  • Potential energy Van der Waals
    Electrostatic Hydrophobic

G
U
F
?G
Reaction coordinate
11
Electrostatic force.
Coulombs law for two point charges in a vacuum
q point charge, e dielectric constant
e 2-3 inside the protein, e 80 in water
Na
Cl-
d 2.76 Ã…, E 120 kcal/mol
12
Dipolar interactions.
- 0.42
Dipole moment
O
0.42
C
Interaction energy of two dipoles separated by
the vector r
-0.20
N
Peptide bond µ 3.5D, Water molecule µ 1.85D.
0.20
H
13
Van der Waals interactions.
Lennard-Jones potential
E (kcal/mol)
0.2
repulsion
London dispersion energy
0
d
d-
attraction
d
d-
- 0.2
12
10
8
6
4
2
Distance between centers of atoms
14
Hydrogen bonds
d-
d
  • NH OC N

  • H

  • O

  • H

  • N

3 ?
D
A
D
A

HOH
OHH
HOHOHH
15
Hydrogen bonding patterns in globular proteins.
  • 1. Most HB are local, close in sequence.
  • 2. Most HB are between backbone atoms.
  • 3. Most HB are within single elements of
    secondary structure.
  • 4. Proteins are almost equally saturated by HB
    0.75 HB per amino acid.

16
Disulfide bonds.
  • PROTEIN GS-SG ?PROTEIN GSH?PROTEIN 2GSH

SH
HS
SH
S-SG
- Breakdown and formation of S-S bonds are
catalyzed by disulfide isomerase. - In the cell
S-S bonds are reversible, the energetic
equilibrium is close to zero. - Secreted proteins
have a lot of S-S bonds since outside the cell
the equilibrium is shifted towards their
formation.
17
Hydrophobic effect.
H
  • Hydrophobic interaction tendency of
  • nonpolar compounds to transfer from an
  • aqueous solution to an organic phase.
  • The entropy of water molecules decreases when
    they make a contact with a nonpolar surface, the
    energy increases.
  • As a result, upon folding nonpolar AA are burried
    inside the protein, polar and charged AA
    outside.

O
H
H
O
H
18
Hydrophobicities of amino acids.
19
Cooperativity of protein interactions
  • Protein denaturation is a first
  • order (all-or-none) transition.
  • As T increases
  • 1. Globule expansion, loose packing.
  • 2. As expansion crosses the barrier,
  • liberation of side chains and
  • increase in enthropy.

E
T1
T2
T
W(E)
T2
T
T1
20
Summary
  • Hydrophobic effect is mostly responsible for
    making a compact globule. Final specific tertiary
    structure is formed by van der Waals
    interactions, HB, disulfide bonds.
  • Secret of stability of native structures is not
    in the magnitude of the interactions but in their
    cooperativity.

21
Classwork I CN3D viewer.
  • Go to http//ncbi.nlm.nih.gov
  • Select alpha-helical protein (hemoglobin)
  • Select beta-stranded protein (immunoglobulin)
  • Select multidomain protein 1I50, chain A
  • View them in CN3D

22
PDB databank.
  • Archive of protein crystal structures was
    established in 1971 with several structures
  • in 2002 17000 structure including NMR
    structures
  • Data processing data deposition, annotation and
    validation
  • PDB code nXYZ, n integer, X, Y, Z -characters

23
Content of Data in the PDB.
  • Organism, species name
  • Full protein sequence
  • Chemical structure of cofactors and prosthetic
    groups
  • Names of all components of the structure
  • Qualitative description of the structural
    characteristics
  • Literature citations
  • Three-dimensional coordinates

24
Protein secondary structure prediction.
  • Assumptions
  • There should be a correlation between amino acid
    sequence and secondary structure. Short aa
    sequence is more likely to form one type of SS
    than another.
  • Local interactions determine SS. SS of a residues
    is determined by their neighbors (usually a
    sequence window of 13-17 residues is used).
  • Exceptions short identical amino acid sequences
    can sometimes be found in different SS.
  • Accuracy 65 - 75, the highest accuracy
    prediction of an a helix

25
Methods of SS prediction.
  • Chou-Fasman method
  • GOR (Garnier,Osguthorpe and Robson)
  • Neural network method

26
Chou-Fasman method.
  • Analysis of frequences for all amino acids to be
    in different types of SS.
  • Ala, Glu, Leu and Met strong predictors of
    alpha-helices,
  • Pro and Gly predict to break the helix.

27
GOR method.
  • Assumption formation of SS of an amino acid is
    determined by the neighboring residues (usually a
    window of 17 residues is used).
  • GOR uses principles of information theory for
    predictions.
  • Method maximizes the information difference
    between two competing hypothesis that residue
    a is in structure S, and that a is not in
    conformation S.

28
Neural network method.
Input layer
Input sequence window
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Output layer
Predicted SS
Hidden layer
L A W P G E V G A S T Y P
a
Si
Hj
Oi
1
ß
0
coil
0
Wij Sj
Hj Oi
29
PHD neural network program with multiple
sequence alignments.
  • Blast search of the input sequence is performed,
    similar sequences are collected.
  • Multiple alignment of similar sequences is used
    as an input to a neural network.
  • Sequence pattern in multiple alignment is
    enhanced compared to if one sequence used as an
    input.

30
Classwork
  • Go to http//ncbi.nlm.nih.gov, search for protein
    flavodoxin in Entrez, retrieve its amino acid
    sequence.
  • Go to http//cubic.bioc.columbia.edu/predictprotei
    n and run PHD on the sequence.

31
Definition of protein domains.
  • Geometry group of residues with the high contact
    density, number of contacts within domains is
    higher than the number of contacts between
    domains.
  • - chain continuous domains
  • - chain discontinous domains
  • Kinetics domain as an independently folding
    unit.
  • Physics domain as a rigid body linked to other
    domains by flexible linkers.
  • Genetics minimal fragment of gene that is
    capable of performing a specific function.

32
Domains as recurrent units of proteins.
  • The same or similar domains are found in
    different proteins.
  • Each domain performs a specific function.
  • Proteins evolve through the duplication and
    domain shuffling.
  • The total number of different types of domains is
    small (1000 3000).

33
The Conserved Domain Architecture Retrieval Tool
(CDART).
  • Performs similarity searches of the NCBI Entrez
    Protein Database based on domain architecture,
    defined as the sequential order of conserved
    domains in proteins.
  • The algorithm finds protein similarities across
    significant evolutionary distances using
    sensitive protein domain profiles. Proteins
    similar to a query protein are grouped and scored
    by architecture.
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