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DOCKING Modeling Protein Complexes

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Hydrophobicity. Hydrophobic molecules stick to other molecules ... Some hydrophobicity is required for good activity. Drug design ... – PowerPoint PPT presentation

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Title: DOCKING Modeling Protein Complexes


1
DOCKINGModeling Protein Complexes
  • Dr. Victor Lesk
  • 29th October 2008

2
  • Protein / small molecules
  • Enzyme / substrates
  • Enzyme / drug
  • Protein / protein
  • Enzyme / inhibitor
  • Inhibitor / modulator
  • Macromolecular assemblies
  • Protein / nucleic acid
  • RNA/DNA / polymerase
  • Ribosome / peptide

3
  • Docking two molecules means constructing the
    coordinates of the bound state.
  • Bound state is called the complex.
  • We require coordinates for the independent
    molecules as input
  • Molecules move towards each other and bind/dock
  • But aim is to predict their docked configuration
    (not describe their motion).

4
Hydrophobicity
  • Hydrophobic molecules stick to other molecules
  • Specificity of interactions tend to be conferred
    by polar areas through e.g. salt bridges and
    hydrogen bonds
  • Hydrophobic drugs are less quickly metabolized,
    go to places where they are not meant to
  • Some hydrophobicity is required for good activity

5
Drug design
  • Drugs typically affect a protein targets ability
    to bind substrate (compet. or non-).
  • Require clinical trials expensive, risky,
    require animals
  • Use screening steps to eliminate unlikely
    candidates, end up with leads
  • Start from library experimental screening using
    physical library
  • Or virtual screening using an electronic database

6
Virtual screening
  • Start from electronic library with millions of
    compounds ZINC (free) has 16 million
  • Take fastest steps first structural docking
    (slow) can be final step when protein target is
    known
  • First library decimated according to ADME
    criteria
  • Absorption- Distribution- Metabolism- Excretion
  • Lipinskis rule of 5 implements ADME well

7
Virtual screening II
  • QSAR when structure of protein target is unknown
  • When protein structure is known, docking the
    drugs onto the protein can be tried
    (small-molecule docking).
  • If partner is also protein and binding site is
    cannot be identified by expt. or bioinformatics,
    protein-protein docking may be used to help find
    it.

8
Small-Molecule Dockingnot just for drug design
  • For
  • Drug design
  • Lead optimization
  • Toxicology
  • Metabolism study
  • Development of tags for imaging
  • Software e.g.
  • Commercial
  • DOCK
  • GOLD
  • FlexX
  • Free for non-commercial use
  • Autodock

9
Structural Drug Library
  • Cambridge Structural Database has 450,000 organic
    compounds (and growing)
  • Files are in CIF format
  • (note mmCIF, macromolecular CIF, as
  • proposed replacement for PDB)
  • Also exist databases for inorganic, oligo-
    peptide and oligonucleotide structures

10
Small molecule docking for drug design
  • Try to dock putative drug molecule on to protein
  • Each molecule has few atoms, so docking of each
    is computationally efficient.. but many
    molecules.
  • Search from library of millions of compounds
  • Pre-filtered using heuristics (Lipinski)?
  • Score with pairwise energy function
  • Protein remains rigid
  • Torsion angles of drug are allowed to rotate.
    Bonds are not generally allowed to stretch or
    flex.

11
MACROMOLECULE DOCKING(proteins and
polynucleotides)?
  • Background
  • Basic concepts
  • Methods
  • Assessment
  • Summary

12
Background why do protein-protein docking?
  • Aside from helping with virtual screening,
  • Protein-protein interaction networks are of
    widespread interest in systems biology
  • Exist proteins with no information, arising from
    genome projects
  • And known proteins having as yet unknown
    interactions
  • Structure prediction technology advances

13
What information do we want?
  • Structures of complexes
  • (within reach, particularly if not much
  • conformational change)
  • Do A and B bind?
  • Affinity information
  • (distant future)

14
Protein-Protein Docking
  • Configuration space large, computationally
    intensive problem
  • Even larger when one of interactors is not rigid
    enough
  • Throw away as many atoms as possible
  • Search remaining space efficiently
  • And/or use high performance computing

15
Protein-protein dockingMethods
  • Set of configurations must contain good enough
    one
  • Good enough configuration must have nearly the
    best score
  • Use non-structural help where possible
  • Use a series of methods, or protocol

16
Scores for selecting the best configuration
  • Free energy
  • Electostatics
  • Stereochemistry
  • Solvation score
  • Statistical scores
  • Geometric scores
  • Phylogenetic scores
  • Weighted sums of the above.

17
Free energy
  • Contribution from all pairs of atoms
  • Same/opposite electric charge repel/attract
  • Electron clouds exclude each other
  • Atoms try to make glancing contact
  • Hydrogen bonds are favourable (difficult to model
    and calculate, direction-dependent)?

18
Solvation score
  • Water attracts polar groups
  • Non-polar groups buried by interface
  • Atomic contact energy (Zhang)?

19
Statistical scores
  • Interacting residue or atom type profile
  • Profile from known complex interfaces

20
Geometric scores
  • Convex hull of surfaces
  • Buried surface area
  • Volume of intersection

21
Phylogenetic scores
  • Needs homologues for all interactors
  • Conservation score
  • Correlation of mutations across interface

22
Protein-protein dockingMethods
  • Fourier series methods
  • Monte Carlo methods
  • Surface methods
  • Bioinformatics methods
  • Normal modes

23
Fast correlation methods for protein-protein
docking
  • Correlation scores only dot product
  • Non-structural help cannot be used efficiently
  • Conformational change not allowed

24
Monte-Carlo methods for protein-protein docking
  • Make small random change
  • Prefer to accept change with better score
  • Random change may include non-rigidity

25
Surface method for protein-protein docking
  • Superpose a point on each proteins molecular
    surface
  • Rotate to make normals antiparallel
  • Surfaces created with marching cubes

26
Movie of surface method protein-protein docking
  • 2 x Plasmodium vivax 25kD protein
  • Homodimer complex
  • Symmetry not imposed
  • 1000 active triangles on each protein
  • 60,000,000 configurations total
  • Score rate 30 configurations per second

27
Marching cubes (Lorensen and Cline,1987)?
  • Originally for medical imaging

28
Marching cubes animated demonstration
  • Molecular surface of P25 being constructed
  • Low resolution

29
Marching cubes properties
  • Surface is constructed out of triangles
    (simplicial complex)?
  • All mathematical topologies ok
  • Restrictable to specified patches
  • Internal pockets must be eliminated
  • Major flexibility requires refinement stage
    (although better than Fourier method)

30
Marching cubes variables
Molecular surface
Solvent-accessible surface
31
Marching cubes patches
800 sq. A patch around GLU152.Oe2
Sample from patch


32
Bioinformatics methods for protein-protein docking
  • Mutagenesis effects on affinity
  • Surface residue conservation
  • Correlated mutation between interactors
  • Homologous complexes
  • Bioinformatics auxiliary, not stand-alone

33
Normal Modes
  • About 10000 n.m.s, distinct oscillatory motion
    patterns with distinct frequencies, for average
    protein
  • Lowest frequency n.m.s may suggest
    conformational changes on complexation
  • Can be used to restrict otherwise impossible
    conformer search of backbone

34
Normal Modes II
  • Proteins that do not undergo large conformational
    change on binding, but remain rigid, can be
    identified by the absence of very low frequency
    normal modes.

35
Free energy
  • Contribution from all pairs of atoms
  • Same/opposite electric charge repel/attract
  • Electron clouds exclude each other
  • Atoms try to make glancing contact
  • Hydrogen bonds are favourable (difficult to model
    and calculate, direction-dependent)?

36
Solvation score
  • Water attracts polar groups
  • Non-polar groups buried by interface
  • Atomic contact energy (Zhang)?

37
Statistical scores
  • Interacting residue or atom type profile
  • Profile from known complex interfaces

38
Geometric scores
  • Convex hull of surfaces
  • Buried surface area
  • Volume of intersection

39
Phylogenetic scores
  • Needs homologues for all interactors
  • Conservation score
  • Correlation of mutations across interface

40
Combined scores
  • best/worst rank(s1,s2,s3 )?
  • reverse -s1
  • s1 with configurations filtered out if s2gt5.7
  • weighted sum a x s1 b x s2
  • weighted product s1a x s2b x s3c
  • Automated combined score trials

41
Assessment of docking methods
  • Benchmark
  • Assessment event
  • CAPRI double-blind trial

42
Protein-protein docking benchmark
  • 124 protein-protein complexes
  • Unique structural family combinations
  • Diverse biological roles
  • Maintained by Prof. Z. Weng at Boston U.

43
Protein-DNA docking benchmark
  • 40 protein-DNA complexes
  • Maintained by Prof. A Bonvin at Utrecht

44
CAPRI Critical Assessment of PRotein Interactions
  • Every 6 months or so, irregular
  • Set of 1 to 6 target complexes
  • Centralized double-blind assessment
  • International meetings
  • Proteins journal special CAPRI edition

45
Interpretation of docking
  • Not simulation (maybe Monte Carlo is)?
  • Energy functions are no more than inspired by
    physics
  • With greater understanding affinity prediction
    could become possible

46
Imperial structural bioinformatics group
  • Virtual screening
  • Prof. Mike Sternberg
  • Dr. Ata Amini
  • Dr. Paul Shrimpton
  • Protein-protein docking
  • Prof. Mike Sternberg
  • Dr. Suhail Islam
  • Dr. Victor Lesk
  • Philip Carter
  • Sara Dobbins

47
Glossary
  • Complex
  • Interactor
  • Ligand/Receptor
  • Bond torsion
  • Torsion angle
  • Bond angle
  • Configuration
  • Decoy
  • Blind Trial
  • PDB file
  • Coordinate file
  • Energy function
  • Scoring function
  • Fitness function
  • Pairwise energy
  • Electrostatics
  • Solvation
  • Dielectric
  • Affinity
  • Fourier Transform
  • Mutagenesis

48
Summary
  • Surface method fast, versatile, flexibility ok
  • 600 processor hours for full rigid search
  • To be done
  • Score improvement
  • Fast sidechain flexibility
  • Backbone flexibility

49
Bibliography
  • Virtual screening
  • Virtual Screening in Drug Discovery, Alvarez
    Shoichet, CRC Press (2005)?
  • Structure-based virtual screening an overview,
    Lyne, DDT 7 20 1047 (2002)?
  • Lipinskis rule of 5
  • Experimental and computational approaches to
    estimate solubility and permeability in drug
    discovery and development settings, Lipinski et
    al., Adv. Drug Del. Rev.. 26 1-3 3(2001)?
  • Protein-protein docking Fourier method
  • Molecular surface recognition determination of
    geometric fit between proteins and their ligands
    by correlation methods, Katzir et al., PNAS 89
    2195(1992)?

50
  • Protein-protein docking Monte Carlo
  • Protein-protein docking with simultaneous
    optimization of rigid-body displacement and
    side-chain conformations, Gray et al., JMB 331 1
    281 (2003)?
  • Benchmark for protein-protein docking
  • Protein-Protein Docking Benchmark 2.0, Mintseris
    et al., Proteins 60 2 216(2005)
  • Solvation modeling for proteins
  • Determination of atomic desolvation energies from
    the structures of crystallized proteins, Zhang et
    al., JMB 267 3 707(1997)?
  • Automated protein-protein docking server
  • CLUSPRO, Comeau et al., Bioinf. 20 1 45 (2004)
    http//nrc.bu.edu/cluster/

51
  • CAPRI docking assessment
  • Welcome to CAPRI, Janin, Proteins SFG 47 3
    257(2002)?
  • CAPRI methods articles, Proteins SFG 52 1(2003)?
  • The CAPRI experiment, its evaluation and
    implications, Wodak Mendex, Curr Opin Struct
    Biol 14 2 242
  • Marching Cubes
  • Marching cubes A high resolution 3d surface
    construction algorithm, Lorensen Cline, Proc.
    ACM Siggraph Aug 1987 163

52
Critical
53
  • Scores and hybrid scores
  • How to describe the success rate of a docking
    method
  • Benchmark
  • Changes in protein structure upon complexation

54
Basic Scores
  • electrostatic energy
  • hard core repulsion penalty score (e.g.
    Lennard-Jones)?
  • solvation score

55
Quality of method
  • In x of different protein-protein complexes the
    best n guesses of method M contain at least one
    guess closer than r Angstroms.

56
Benchmark
  • Benchmark of 39 complexes, filtered for
    redundancy
  • Ranked in 3 difficulty classes based on degree of
    conformational change
  • Enzyme-inhibitor complexes11
  • Antibody-antigen complexes11
  • 27 others of unclassified functional role

57
Conformational change
  • Proteins change shape a little (example) or a lot
    (example) upon complexation
  • When conformational change is small, docking
    methods can ignore it.

58
Strategy
  • Any docking method must work unfailingly in cases
    of zero conformational change.
  • Methods are first tested with zero conformational
    change imposed.

59
Surface-based docking
  • Automatically excludes a large subset of known
    undesirable conformations
  • Can impose contact between specified surface
    patches
  • N-fold rotational symmetry
  • Provides alternative visualization

60
Construction of Surface from pdb file
  • Step 1 read pdb file and identify atom types
  • Step 2 replace points with overlapping clouds of
    density
  • Step 3 apply marching cubes to generate a set of
    interlocking triangles representing the atomic
    surface

61
Generation of guesses for complexed structure
  • A possible structure for the complex can be
    generated by specifying
  • A triangle from the surface representing
    interactor 1
  • A triangle from interactor 2
  • An angle
  • Put triangle 1 against triangle 2 and rotate by
    angle around the centre of the triangle.
  • Score the configuration and record the structure.
    Repeat 1M times.

62
Ultimate aims of Protein-Protein Docking, in
order of difficulty
  • What is the complexed structure of proteins x, y
    of known structure which are known to form a
    complex? (Hard)?
  • Could proteins a, b of known structure form a
    stable complex in vivo? (Very Hard)?
  • What, approximately, is the chemical affinity for
    given interacting proteins? (Very Hard)?

63
Hybrid scores
  • Hybrid scores are scores produced by operations
    on basic scores s1,s2,s3
  • reverse(s1)?
  • s1 with configurations filtered out if s2gt5.7
  • weighted sum as1 bs2 cs3
  • weighted product s1a x s2b. x s3c
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