Post on 31-Dec-2015
Xin Zhan CS 882 course project 1
Study of Loop Length & Residue Composition of
β-Hairpin Motif
Xin Zhan
Nov 27, 2006
Xin Zhan CS 882 course project 2
Outline
Research background about β-hairpin motif My task overview Preliminary results Future works
Xin Zhan CS 882 course project 3
β-Hairpin Motif Simplest protein motif involving two
beta strands [from Wikipedia] adjacent in primary sequence antiparallel linked by a short loop
As isolated ribbon or part of beta sheet a special case of a turn
direction of protein backbone reverses
flanking secondary structure elements interact (hydrogen bonds)
Xin Zhan CS 882 course project 4
Types of Turns β-turn (most common)
donor and acceptor residues of hydrogen bonds are separated by 3 residues (i i +3 H-bonding)
δ-turn i i +1 H-bonding
γ-turn i i +2 H-bonding
α-turn i i +4 H-bonding
π-turn i i +5 H-bonding
ω-loop a longer loop with no internal hydrogen bonding
Xin Zhan CS 882 course project 5
Loop Length of β-Hairpin 70% hairpins with
loop length ≤ 7 Most are 2 residues
loops 2 residues loops
prefer type I’ and II’ beta turns
[Sibanda & Thornton 85’]
Xin Zhan CS 882 course project 6
Turn Type of Two residue β-Hairpin (1) Types I‘
Residue 1 adopts left-handed alpha-helical conformation
Preference for GLY, ASP, ASN
Residue 2 nearly always GLY
Type II’ Residue 1 only GLY Residue 2 polar amino
acids such as SER, THR
Xin Zhan CS 882 course project 7
Turn Type of Two residue β-Hairpin (2)
Residue 2 in type I’ and residue 1 in type II’ has a conformation which can only be adopted by GLY
phi and psi angles are well outside the allowed regions of the Ramachandran plot for amino acids with side chains
Xin Zhan CS 882 course project 8
Three Residue β-Hairpin 1st residue
adopts right-handed alpha-helical conformation
2nd in the region between alpha-helix and beta-sheet
3rd position prefer GLY, ASN, ASP
Xin Zhan CS 882 course project 9
Four Residue β-Hairpin 1st and 2nd
residues adopting the alpha-helical conformation
3rd in the region between alpha-helix and beta-sheet
4th position prefer GLY, ASN, ASP
Xin Zhan CS 882 course project 10
Prediction of Turns [Chou 97’]
Site-independent model based on knowledge that amino acid preferences
at individual positions in ß-turns and does not consider any coupling between the residues in the sequence
1-4 & 2-3 correlation model based on residue coupling
Sequence coupled model based on first-order markov chain involving
conditional probabilities
Xin Zhan CS 882 course project 11
β–Hairpin Revisited [Gunasekaran 97’]
A data set of 250 non-homologous proteins For 3 residue loops, major conformational motif is
αR-αR-αL (type I followed by a residue in a left-handed helical conformation)
For 4 residue loops, αR-αR-αR-αL (π-turn motif) Small polar residue ASN, ASP, SER, THR, GLY and
PRO are preferred in loop Identify several CYS-CYS pairs at the non-hydrogen
bonded positions of beta stands
Xin Zhan CS 882 course project 12
β–Hairpin Folding Mechanism[Galzitskaya 02’]
Review experimental and theoretical studies of β–hairpin folding mechanism
Hydrogen-bond-centric model Formation of folding droplet starting from beta turn is the
determining factor
Hydrophobic-core-centric model A core structure formed by side chains from both strands
comes first, then brings the two strands together to form hydrogen bonds
Xin Zhan CS 882 course project 13
My Task Overview
Extract beta hairpins
Identify loop lengthClassify hairpins based on loop length
Cluster hairpins based on RMSD
1116 proteinsresolution ≤ 1.6 ANon-homologous
Analysis residue preferences
Xin Zhan CS 882 course project 14
Distribution of β–Hairpins Based on Loop Length
53
896
336
520 498
296188 164
114 84
0100200300400500600700800900
1000
1 2 3 4 5 6 7 8 9 10
Loop length
Num
ber
of b
eta
hair
pins
Xin Zhan CS 882 course project 15
Amino Acids Distributions in Loop Regions The number of a residue i over the total
number of residues in loop regions
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
ALA ARG ASN ASP GLU GLY LYS PRO SER THR
2 residues loops 4 residues loops 5 residues loops
Xin Zhan CS 882 course project 16
A.A. with hydrophilic side A. A. that are in between
Xin Zhan CS 882 course project 17
Amino Acids Distributions in 2 Residues Loops
The number of a residue i occurs at position j over the total number of residues at position j.
00.050.1
0.150.2
0.25
0.30.350.4
0.450.5
L1 L2
Rat
io o
f re
sidu
es ASNASPGLYLYSPROSER
Xin Zhan CS 882 course project 18
Amino Acid Distributions in 4 Residues Loops
0
0.05
0.1
0.15
0.2
0.25
L1 L2 L3 L4
Rat
io o
f re
sidu
es ASNASPGLUGLYPROSER
Xin Zhan CS 882 course project 19
Position Preference of Amino Acids in 5 Residues Loops
A residue’s preference for a loop position
Fij is the number of times residue i occurs in a loop position j
Di is the number of times residue i occurs in the loop region
Xin Zhan CS 882 course project 20
Position Preference of Amino Acids in 5 Residues Loops
0
0.5
1
1.5
2
2.5
3
3.5
L1 L2 L3 L4 L5
Pre
fere
nce
ASNASPGLUGLYPROSERTHR
Xin Zhan CS 882 course project 21
Considering Structural Similarity
Further cluster beta hairpins based on structural similarity of loop region
Analysis the amino acid distributions in each cluster
Xin Zhan CS 882 course project 22
RMSD
Measure the structure similarity between two proteins
Given the position vectors of two sequences of amino acids V, W
Xin Zhan CS 882 course project 23
Candidate Clustering Algorithms
Partition methods K-means / Quality Threshold
Hierarchical clustering method UPGMA / Diana
Fuzzy logic based method Fuzzy c-means clustering / Fanny
Neural network based methods SOM / SOTA
Xin Zhan CS 882 course project 24
Reference
Sibanda BL, Thornton JM. Beta-hairpin families in globular proteins. Nature 1985. 316(6024):170–174.
Chou, K.C. and Blinn, J.R. Classification and prediction of beta-
turn types. Protein Chem. 1997. 16, 575-595. Gunasekaran K, Ramakrishnan C, Balaram P. Beta-hairpins in
proteins revisited: lessons for de novo design. Protein Eng. 1997 Oct;10(10):1131-41.
Galzitskaya, O. V., J. Higo, and A. V. Finkelstein. 2002. Alpha-helix and beta-hairpin folding from experiment, analytical theory and molecular dynamics simulations. Curr. Protein Pept. Sci.
3:191–200.
Xin Zhan CS 882 course project 25
Thank you