cz5211 topics in computational biology lecture 6: biological pathways i: molecular interactions...

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CZ5211 Topics in Computational Biology CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Lecture 6: Biological Pathways I: Molecular Interactions Molecular Interactions Prof. Chen Yu Zong Prof. Chen Yu Zong Tel: 6874-6877 Tel: 6874-6877 Email: Email: [email protected] [email protected] http://xin.cz3.nus.edu.sg http://xin.cz3.nus.edu.sg Room 07-24, level 7, SOC1, NUS Room 07-24, level 7, SOC1, NUS

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Page 1: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

CZ5211 Topics in Computational BiologyCZ5211 Topics in Computational Biology

Lecture 6: Biological Pathways I: Lecture 6: Biological Pathways I: Molecular InteractionsMolecular Interactions

Prof. Chen Yu ZongProf. Chen Yu Zong

Tel: 6874-6877Tel: 6874-6877Email: Email: [email protected]@cz3.nus.edu.sg

http://xin.cz3.nus.edu.sghttp://xin.cz3.nus.edu.sgRoom 07-24, level 7, SOC1, NUSRoom 07-24, level 7, SOC1, NUS

Page 2: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

22

Biomolecular Interaction: Enzyme + SubstrateBiomolecular Interaction: Enzyme + Substrate

E + S ==> E + P

• This is a generalization of how a biochemist might represent the function of enzymes.

Page 3: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

33

Biomolecular Interaction: Enzyme + SubstrateBiomolecular Interaction: Enzyme + Substrate

E + S ==> E + P

kinase-ATP complex + inactive-enzyme ==> Kinase + ADP + active enzyme

K

ATP ADP

P

• Here is an example of the generalization represented by two different ways.

Page 4: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

44

Biomolecular Interaction: Enzyme + SubstrateBiomolecular Interaction: Enzyme + Substrate

• This is another representation.

Kinase-ATPcomplex

Activeenzyme

inactiveenzyme

ADP

Page 5: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

55

Biomolecular InteractionBiomolecular Interaction

• This is a generalization of the representation.

A B

C D E F…

Page 6: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

66

Biomolecular FunctionBiomolecular Function

• A biomolecule’s function can be defined by the things that it interacts with and the new (or altered) molecules that result from that interaction.

A B

C D E F…

Page 7: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

77

Biomolecular FunctionBiomolecular Function

• This representation makes it easy to focus on the interaction part.

A B

C D E n…

Page 8: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

88

A Simple BIND RecordA Simple BIND Record

• The minimal BIND record has 9 pieces of information.

A B

1. Short label for A 2. Short label for B3. Molecule type for A 4. Molecule type for B5. Database reference for A 6. Database reference for B7. Where A comes from 8. Where B comes from

9. Publication reference

Page 9: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

99

An Example BIND RecordAn Example BIND Record

• You can view this record in BIND

A B

1. INAD 2. TRP3. Protein 4. Protein5. GenBank GI 3641615 6. GenBank GI 73018617. GenBank Taxonomy ID 7227 8. GenBank Taxonomy ID 7227

9. PubMed ID 8630257

Page 10: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

1010

BIND Stores Molecular Interaction DataBIND Stores Molecular Interaction Data

BIND Interaction Types

Protein - Protein54%

Protein - DNA25%

Other9%

Protein - Not Specified

12%

Protein - RNA1%

Gene - Gene4%

Small Molecule - Gene1%

Protein - Small Molecule

1%

Page 11: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

1111

BIND Stores Molecular Interaction DataBIND Stores Molecular Interaction Data

Page 12: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

1212

BIND Records are Based on ObservationsBIND Records are Based on Observations

• All BIND records will have a publication reference and most will specifically list a method(s) used to demonstrate the interaction.

A B

1. Short label for A 2. Short label for B3. Molecule type for A 4. Molecule type for B5. Database reference for A 6. Database reference for B7. Where A comes from 8. Where B comes from

9. Publication reference

Page 13: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

1313

Methods for Detecting Interactions.Methods for Detecting Interactions.

• A great deal of interaction data in BIND originates from high-throughput experiments designed to detect interactions between proteins.

• The most common methods are:– Two-hybrid assay– Affinity purification

Page 14: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

1414

Experimental Evidence of Interaction in BINDExperimental Evidence of Interaction in BINDInteraction Experimental Evidence Captured

Affinity Chromatography

8%

SGA8%

Three Dimensional Structure

20%Cross Linking25%

Two Hybrid Test38%

Other1%

Interaction Experimental Evidence Captured

Other8%

Colocalization1%

Competition Binding

1%

Fluorescence Anisotropy

6%

Not Specified6%

Resonance Energy Transfer

9%

Gel Filtration Chromatography

14%

Gradient Sedimentation

1%

Gel Retardation Assays

1%

Immunostaining 9%

Microarray14%

Light Scattering11%

Electron Microscopy

2%

Elisa6%

Equilibrium Dialysis

16%

Remaining1%

Page 15: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

1515

Experimental Method: Two-Hybrid AssayExperimental Method: Two-Hybrid Assay

1.

2. 3.

4.

Page 16: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

1616

Experimental Method: Two-Hybrid AssayExperimental Method: Two-Hybrid Assay

Page 17: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

1717

Experimental Method: Two-Hybrid AssayExperimental Method: Two-Hybrid Assay

Page 18: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

1818

Experimental Method: Experimental Method: Two-Hybrid AssayTwo-Hybrid Assay

Page 19: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

1919

Experimental Method: Experimental Method: Two-Hybrid AssayTwo-Hybrid Assay

Page 20: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

2020

Two-Hybrid AssayTwo-Hybrid Assay

1.

2. 3.

4.

A

B

Fields S. Song O.Nature. 1989 Jul 20;340(6230):245-6. PMID: 2547163

UASG

GAL4-DBD

SNF1

SNF4

Transcription activation domain

Allows growth on galactoseGAL1

Page 21: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

2121

Some Two-Hybrid CaveatsSome Two-Hybrid Caveats

1.

2. 3.

4.

A

Does the DBD-fusion have activity by itself?

Page 22: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

2222

Some Two-Hybrid CaveatsSome Two-Hybrid Caveats

1.

2. 3.

4.

A

B

Is the ‘interaction’ mediated by some other protein?

C

Page 23: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

2323

Some Two-Hybrid QuestionsSome Two-Hybrid Questions

1.

2. 3.

4.

AB

• Are the proteins expressed?• Are they over-expressed?• Are they in-frame?• Are the interacting domains defined?• Was the observation reproducible?• Was the strength of interaction significant?• Was another method used to back-up the conclusion?• Are the two proteins from the same compartment?

Page 24: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

2424

Some Two-Hybrid CaveatsSome Two-Hybrid Caveats

1.

2. 3.

4.

B

A

Is the ‘interaction’ bi-directional?

Page 25: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

2525

Experimental Method: Affinity PurificationExperimental Method: Affinity Purification

A

Protein of interestTag modification(e.g. HA/GST/His)

This molecule will bindthe ‘tag’.

Page 26: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

2626

Affinity PurificationAffinity Purification

A

The cell

Page 27: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

2727

B

Affinity PurificationAffinity Purification

A

The cell

Naturally binding protein

Lots of other untagged proteins

Page 28: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

2828

B

Affinity PurificationAffinity Purification

A

Ruptured membranes

Cell extract

Page 29: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

2929

B

Affinity PurificationAffinity Purification

A

Untagged proteins go through fastest (flow-through)

Page 30: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

3030

B

Affinity PurificationAffinity Purification

A

Tagged complexesare slower and come out later (eluate)

Page 31: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

3131

B

Some Questions about Affinity PurificationSome Questions about Affinity Purification

A

• Is the bait protein expressed and in frame?• Is the bait protein observed?• Is the bait protein over-expressed?• Are the interacting domains defined?• Was the observation reproducible?• Was the interactor found in the background?• Was the strength of interaction significant?• Was the interaction saturable?• Was the interactor stoichiometric with the bait protein?• Was another method used to back-up the conclusion?• Was tandem-affinity purification (TAP) used?• Was the interaction shown using an extract or a purified protein?• Is the inverse interaction observable?• Are the two proteins from the same compartment?• Are the two proteins known to be involved in the same process?• Is the interactor likely to be physiologically significant?

Page 32: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

3232

B

Some Affinity Purification CaveatsSome Affinity Purification Caveats

A

First and most importantly, this is only a representation of the observation.

You can only tell what proteins are in the eluate; you can’t tell how they are connected to one another.

If there is only one other protein present (B), then its likely that A and B are directly interacting.

But, what if I told you that two other proteins (B and C) were present along with A….

B

A

C

Page 33: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

3333

B

Complexes with Unknown Binding TopologyComplexes with Unknown Binding Topology

A

Which of these models is correct?The complex described by this experimental result is said to have an Unknown Topology.

C B

A

C B

A

C

Page 34: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

3434

B

Complexes with Unknown StoichiometryComplexes with Unknown Stoichiometry

A

Here’s another possibility?The complex described by this experimental result is also said to have Unknown Stoichiometry.

C

A

Page 35: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

3535

High Throughput Data in BINDHigh Throughput Data in BIND

• Affinity purification:Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry (2002). PMID: 11805837

• Two-hybrid:A protein interaction map of Drosophila Melanogaster(2003). PMID: 14605208

• Two-hybrid and Affinity purification:A map of the interactome network of the metazoan C. Elegans (2004). PMID: 14704431

• Data from these examples can be retrieved from BIND using a PMID search.

Page 36: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

3636

B

How complex Data are Stored in BINDHow complex Data are Stored in BIND

A ?

?

C?

Three interaction records.

Page 37: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

3737

B

How Complex Data are Stored in BINDHow Complex Data are Stored in BIND

A ?

?

C?

A complex record in BINDis simply a collection ofinteraction records.

Page 38: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

3838

B

Alternate Representations.Alternate Representations.

A ?

?

C?The matrix model (a clique).

B

A

C

Page 39: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

3939

B

Alternate Representations.Alternate Representations.

A ?

?

C?The spoke model.

Which model to use?

B

A

C

Page 40: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

4040

Spoke and Matrix ModelsSpoke and Matrix Models Vrp1 (bait), Las17, Rad51, Sla1, Tfp1, Ypt7

SpokeMatrixPossible Actual

Topology

Bader&Hogue Nature Biotech. 2002 Oct 20(10):991-7

Simple model

Intuitive, more accurate, but canmisrepresent

Theoretical max. no. of interactions, but many FPs

Page 41: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

4141

A view on real data…matrix modelA view on real data…matrix model

6 redox enzymes

7 redox enzymes

Old yellow enzyme

Function?

Page 42: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

Interaction KineticsInteraction Kinetics

E + S ==> E + P

kinase-ATP complex + inactive-enzyme ==> Kinase + ADP + active enzyme

K

ATP ADP

P

Page 43: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

4343

Reversibility of Chemical Reactions: Reversibility of Chemical Reactions: EquilibriumEquilibrium

• Chemical reactions are reversible• Under certain conditions (concentration, temperature)

both reactants and products exist together in equilibrium state

H2 2H

Page 44: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

4444

Reaction RatesReaction Rates

Net reaction rate = forward rate – reverse rate

• In equilibrium: Net reaction rate = 0• When reactants “just” brought together: Far

from equilibrium, focus only on forward rate• But, same arguments apply to the reverse rate

Page 45: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

4545

The Differential Rate LawThe Differential Rate Law

• How does the rate of the reaction depend on concentration? E.g.

3A + 2B C + Drate = k [A]m[B]n

(Specific reaction)

rate constant

Order of reaction

with respect

to A

Order of reaction

with respect

to B

m+n: Overall order of

the reaction

Page 46: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

4646

Rate Constants and Reaction OrdersRate Constants and Reaction Orders

• Each reaction is characterized by its own rate constant, depending on the nature of the reactants and the temperature

• In general, the order with respect to each reagent must be found experimentally (not necessarily equal to stoichiometric coefficient)

Page 47: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

4747

Elementary Processes and Rate LawsElementary Processes and Rate Laws

• Reaction mechanism: The collection of elementary processes by which an overall reaction occurs

• The order of an elementary process is predictable

Unimolecular A* B K+ [A] First order

Bimolecular A + B C + D K+ [A] [B] Second order

Trimolecular A + B + C D + E K+ [A] [B] [C] Third order

Page 48: CZ5211 Topics in Computational Biology Lecture 6: Biological Pathways I: Molecular Interactions Prof. Chen Yu Zong Tel: 6874-6877 Email: yzchen@cz3.nus.edu.sg

4848

Elementary Processes and Rate LawsElementary Processes and Rate Laws

• Reaction mechanism: The collection of elementary processes by which an overall reaction occurs

• The order of an elementary process is predictable

Unimolecular A* B K+ [A] – K- [B] First order

Bimolecular A + B C + D K+ [A] [B] – K- [C] [D] Second order

TrimolecularA + B + C D + E

K+ [A] [B] [C] – K- [D] [E]

Third order