Download presentation
Presentation is loading. Please wait.
Published byFerdinand Bailey Modified over 8 years ago
1
Workshop in Computational Structural Biology 2016 81813, 4 credit points Orly Marcu & Emma-joy Dodson Contents by Prof. Ora Schueler-Furman
2
Introduction – When, Where, How? When & Where: – Thursdays, Givat Ram – Lecture & Exercise: 14:00- 18:00, Sprinzak computer class #2 – Lectures & exercises available on moodle2 http://moodle2.cs.huji.ac.il/nu15/ course/view.php?id=81813 How: – Make sure you have an account in CS ✓ Exercises -Submit 8/11 exercises -Due within 2 weeks -Submit by email to emma- joy.dodson@mail.huji.ac.il emma- joy.dodson@mail.huji.ac.il Contact: Orly 87063 orlymarcu@gmail.com Emma 87063 emma-joy.dodson@mail.huji.ac.il Acknowledgements: Sources of figures and slides include slides from Branden & Tooze; some slides have been adapted from members of the Rosetta Community, especially from Jens Meiler Exercises in Pyrosetta have been adapted from teaching material by Jeff Gray
3
Structure prediction (mainly Rosetta; also I-TASSER, MODELLER): – from sequence alone to high resolution models (Ab-initio modeling) – From homologous structures to high resolution models What will we learn? MSKAVGIDLGTTYSC…… || MSKAVGIDLGTTYSC……
4
Protein design – Engineering novel proteins not found in nature to fit a desired fold/function What will we learn? Gordon et. Al. JACS (2012). Computational Design of an α ‑ Gliadin Peptidase
5
Protein-protein docking – achieve models of protein complexes given two monomers (Rosetta, PatchDock, PIPER, HADDOCK) Interface analysis and design – identify interface “hotspots” (via computational alanine scanning); change protein specificity What will we learn?
6
Optimization techniques: – Energy Minimization; concepts and implementation in Rosetta – Monte-Carlo methods Side chain modeling – Deterministic and heuristic methods for finding preferred side chain combinations given a certain backbone What will we learn? START energy conformations
7
Existing protocols, out of this course’s scope: Protein-ligand docking Membrane proteins modeling and design Peptide-protein docking DNA & RNA modeling Antibody modeling What we will not learn
8
The central dogma
9
The code: 4 bases, 64 triplets, 20 amino acids
10
4 Hierarchies of protein structure Anfinsen: sequence determines structure
11
The building blocks: amino acids
12
The building blocks: 20 amino acids Differ in size, polarity, charge, secondary structure propensity …
13
The simplest aa No sc Very flexible bb Special amino acids Cyclic aa sc Connects bb N Very constrained bb N CO CH HH N CH CH 2 H2CH2C
14
Aliphatic amino acids sc contains only carbon and hydrogen atoms hydrophobic
15
Amino acids with hydroxyl group
16
Negatively charged amino acids Different size → different tendency for 2. structure
17
Amide amino acids
18
Positively charged amino acids large sc pK a 11.1 pK a 12
19
Aromatic amino acids sc contains aromatic ring Figure from Wikipedia Figure from Proteopedia
20
Amino acids with sulfur
21
Cystine Oxidation of Sulfur atoms creates covalent disulfide bond (S-S bond) between two cysteines
22
Hydrogen bonding potential of amino acids
23
S-S bonds stabilize the protein A chain G I V E Q C C A S V C S L Y Q L E N E N Y C N s s s s B chain F V N Q H L C G S H L V E A L Y L V C G E R G F.. s s Insulin A chain N C B chain
24
Post-translational modifications Processing (pro-insulin/insulin) – control of protein activity Glycosylation – protein trafficking Phosphorylation (Tyr, Ser, Thr) – regulation of signaling Methylation, Acetylation – histone tagging ….
25
Metal binding proteins aa: HCDE Fe, Zn, Mg, Ca Fe – blood: red hemoglobin – electro-transfer: cytochrome c Zn – in DNA-binding “Zn-finger” proteins – Alcohol dehydrogenase: oxidation of alcohol 25
26
Primary sequence: concatenated amino acids
28
Formation of a peptide bond O - oxygen N - nitrogen O-O- +H3N+H3N R H CC O C || H - hydrogen C - carbon cpk colors
29
The geometry of the peptide backbone Peptide bond length and angles do not change Peptide dihedral angles define structure The peptide bond is planar & polar:
30
Dihedral angles Dihedral angles 1 - 4 define side chain From wikipedia Dihedral angle: defines geometry of 4 atoms (given bond lengths and angles)
31
The geometry of the peptide backbone Peptide bond length and angles do not change Peptide dihedral angles define structure The peptide bond is planar & polar: =180 o (trans) or 0 o (cis)
32
The search for the native fold The Levinthal paradox: a 100 residue protein would require 10 16 seconds to explore all possible conformations and choose the native one. Quick collapse to intermediate state, followed by accurate contacts formation Quick collapses followed by unfolding until near native state achieved
33
Ramachandran plot Glycine: flexible backboneAll except Glycine 33
34
Ramachandran plot 34
35
Secondary structure: local interactions
36
Secondary structure – built from backbone hydrogen bonds
37
helix discovered 1951 by Pauling 5-40 aa long average: 10aa right handed O i -NH i+4 : bb atoms satisfied helix: i - i+5 3 10 helix: i - i+3 1.5Å/res Favored: Glu, Ala, Leu, Arg, Met, Lys Disfavored: Asn, Thr, Cys, Asp, Gly
38
Frequent amino acids at the N-terminus of helices Pro Blocks the continuation of the helix by its side chain Asn, Ser Block the continuation of the helix by hydrogen bonding with the donor (NH) of N 3 N cap, N 1, N 2, N 3 …….C cap 38
39
helix: dipole binds negative charges at N-terminus
40
Helices of different character 1.buried 2.partially exposed 3.exposed 40
41
Representation: helical wheel 41 1.buried 2.partially exposed: amphipathic helix 3.exposed
42
-sheet Involves several regions in sequence Residue side chains point up/down/up.. O i -NH j Parallel and anti-parallel sheets 42 Favored: Tyr, Thr, Ile, Phe, Trp Disfavored: Glu, Ala, Asp, Gly, Pro
43
Antiparallel -sheet Parallel Hbonds Pleated 43
44
Beta-hairpin Loops Connect strands in antiparallel sheet G,N,D GGS,T 44
45
Parallel -sheet less stable than antiparallel sheet angled hbonds 45
46
Connecting elements of secondary structure define tertiary structure 46
47
Tertiary structure defines protein function
48
Loops connect helices and strands at surface of molecule more flexible contain functional sites 48
49
Important bonds for protein folding and stability Dipole moments attract each other by van der Waals force (transient and very weak: 0.1-0.2 kcal.mol) Hydrophobic interaction – hydrophobic groups/ molecules tend to cluster together and shield themselves from the hydrophilic solvent Dipole moments attract each other by van der Waals force (transient and very weak: 0.1-0.2 kcal.mol) Hydrophobic interaction – hydrophobic groups/ molecules tend to cluster together and shield themselves from the hydrophilic solvent
50
Formation of the aformentioned bonds contributes to the enthalpy of the system, decreasing protein enropy Interplay of enthalpy and entropy in protein folding change in Gibbs free energy change in enthaply change in the entropic term
51
The hydrophobic effect A central effect in protein folding Driven by entropy – gain of water molecules entropy Water molecules near hydrophobic elements have less freedom to form and break hydrogen bonds with neighboring waters More water molecules not in direct contact with hydrophobic elements Figures from post by Dr. Steve Mack on www.madsci.orgwww.madsci.org
52
Super secondary structures – Greek Key Motif Most common topology for 2 hairpins 52
53
Super Secondary Structures- Motif connects strands in parallel sheet always right-handed 53
54
Repeated motif creates -meander: TIM barrel 54
55
The quaternary structure of a protein defines its biological functional unit 55
56
Quaternary structure: Hemoglobin consists of 4 distinct chains
57
Quaternary structure: assembly of protein domains (from two distinct protein chains, or two domains in one protein sequence) Glyceraldehyde phosphate dehydrogenase: domain 1 binds the substance to be metabolized, domain 2 binds a cofactor
58
1. Introduction to Computational Structural Biology Experimental determination of protein structure: X-ray diffraction and NMR
59
X-ray diffraction Rotation of crystal enables recording different diffractions Resolution measures diffraction angles; higher angle peaks higher resolution
60
X-ray diffraction If direction is such that -> Constructive addition -> Reflection spot in the diffraction pattern Wavelength of x-ray ~ crystal plane separations Rotation of crystal relative to beam allows recording of different diffractions Diffraction maps are translated to electron density maps using Fourier Transform Resolution measures diffraction angles (high angle peaks – high resolution data)
61
X-ray diffraction Iterative refinement allows improvement of structure R-factor measures quality Fo – observed Fc - calculated
62
NMR (Nuclear Magnetic Resonance) NMR-active nuclei (w spins) 1 H, 13 C, 15N Application of magnetic field reorients spins – measure resonance between close nuclei Extract constraints & determine structure more constraints – better defined structure
63
Experimental determination of structure X-ray crystallography Determines electron density – positions of atoms in structure Highly accurate Technically challenging Depends on crystal (static; artifacts?) NMR Determines constraints between labeled spins Allows measure of structure in solution
64
Progress in experimental determination of structures 1950’s first protein structure solved by Kendrew & Perutz: sperm whale myoglobin Today: ~114,000 structures solved, most by x-ray crystallography
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.