Biochemistry 412 Protein-Protein Interactions February 22, 2005

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Biochemistry 412 Protein-Protein Interactions February 22, 2005

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Biochemistry 412 Protein-Protein Interactions February 22, 2005. Macromolecular Recognition by Proteins • Protein folding is a process governed by intramolecular recognition. • Protein-protein association is an intermolecular process. - PowerPoint PPT Presentation

Transcript of Biochemistry 412 Protein-Protein Interactions February 22, 2005

Page 1: Biochemistry 412 Protein-Protein Interactions February 22, 2005

Biochemistry 412

Protein-Protein Interactions

February 22, 2005

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Macromolecular Recognition by Proteins

• Protein folding is a process governed by intramolecular recognition.

• Protein-protein association is an intermolecular process.

Note: the biophysical principles are the same!

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Special Features of Protein-Protein Interfaces

• Critical for macromolecular recognition

• Typically, ca. 500 - 1500 Å2 of surface buried upon complex formation by two globular proteins

• Epitopes on protein surface thus may have a “hybrid” character, compatible with both a solvent-exposed (‘free”) state

and a buried, solvent-inaccessible (“bound”) state

• Energetics of binding primarily determined by a few critical residues

• Flexibility of surface loops may be quite important for promoting “adaptive” binding and for allowing high specificity interactions

without overly-tight binding (via free state entropy effects)

• Most contacts between two proteins at the interface involve amino acid side chains, although there are some

backbone interactions

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For a protein (P), ligand (A), and complex (P • A)

P + A P • A

where [P]total = [P] + [P • A]

ka

kd

Formalisms for Characterizing Binding Affinities

The association constant: Ka = [P • A]/[P][A] = ka/kd

The dissociation constant: Kd = 1/Ka = [P][A]/[P • A]

…please note that Kd has units of concentration, and so when Kd = [A]then [P] = [P • A], and thus Kd is equal to the concentration of theligand A at the point of half-maximal binding.

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At a given ligand concentration [A] the free energy of binding,in terms of the difference in free energies between the free

and the bound states, can be described as

G°binding = -RT ln ([A]/Kd)

It is also often useful to describe the difference in binding affinity between a wild type protein and a mutant of the same protein,

which is an intrinsic property independent of the ligand concentration. In that case we can express this as

G°wt-mut = -RT ln (Kdmut/Kd

wt)

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Mapping Antigen-Antibody Interaction Surfaces (Binding Epitopes)

Using Hydrogen-Deuterium Exchange and NMR Spectroscopy

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Mapping Protein-Protein InteractionsUsing Alanine-Scanning Mutagenesis

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“If amino acids had personalities, alanine would not be the life of the party!”

- George Rose Johns Hopkins Univ.

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QuickTime™ and aPhoto - JPEG decompressor

are needed to see this picture.

The Kiss 1886 (100 Kb); Bronze, 87 x 51 x 55 cm; Musee Rodin, Paris

Auguste Rodin

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Clackson et al (1998) J. Mol. Biol. 277, 1111.

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Most mutations that markedly affect the binding affinity(Ka) do so by affecting the off-rate (kd or koff).

In general, mutational effects on the on-rate (ka or kon) are limited to the following circumstances:

• Long-range electrostatic effects (steering)

• Folding mutations masquerading as affinity mutations (i.e., mutations that shift the folding equilibrium to the non-native [and non-binding] state)

• Inadvertent creation of alternative binding modes that compete with the “correct” binding mode

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Cunningham & Wells (1993) J. Mol. Biol. 234, 554.

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Cunningham & Wells (1993) J. Mol. Biol. 234, 554.

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Clackson et al (1998) J. Mol. Biol. 277, 1111.

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Reference Molecule: Turkey Ovomucoid Third Domain(a Serine Protease Inhibitor)

• All nineteen possibleamino acid substitutionswere made for each ofthe residues shown inblue (total = 190).

• For each inhibitor,binding constantswere measured preciselyfor each of six different serine proteases.

• X-ray structures wereperformed on a subsetof the mutant complexes.

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Structure of the complex to TKY-OM3D P1 Pro withStreptomyces griseus Protease B

Bateman et al (2001) J. Mol. Biol. 305, 839.

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Consider the double mutant, AB, composed of mutationA and mutation B. In general (but not always -- see below), the binding free energy perturbations caused by single mutations are additive, in other words

G°wt-mutAB = G°wt-mutA + G°wt-mutB + G°i

where G°i ≈ 0.

G°i has been termed the “interaction energy” (see (Wells [1990] Biochemistry 29, 8509). If G°i ≠ 0, then mutations A andB are said to be nonadditive and it can therefore be inferred thatthe two residues at which these mutations occur must physically interact, directly or indirectly, in the native structure.

The Principle of Additivity

Note: this has important implications regarding how evolution shapes proteins.

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Qasim et al (2003)Biochemistry 42, 6460.

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…and the theorists are now beginning to mine this datato refine their docking programs.

“Bad” prediction “Good” prediction

Lorber et al (2002) Protein Sci. 11, 1393.

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If you want to be “hard core” and reallyunderstand protein-protein interactions,

you need to know more than just the free energies of association. You (ultimately)

will need to know something about enthalpies,entropies, and heat capacities, too.

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Makarov et al (1998) Biopolymers 45, 469.

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Makarov et al (2000) Biophys. J. 76, 2966.

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Makarov et al (2002) Acc. Chem. Res. 35, 376.

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When two proteins form a complex, solvent must be displaced from the interfacial regionsand the conformational freedom (configurationalentropy) of the main chain and side chain atomswill change also.

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Jelesarov and Bosshard (1999) J. Molec. Recognition 12, 3.

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Jelesarov and Bosshard (1999) J. Molec. Recognition 12, 3.

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Isothermal Titration Calorimetry Yields H of Binding

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…and when you have H and G(= -RTlnKa), you can calculate S.

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Some examples of experimentally-measured thermodynamic quantities forinteracting proteins, measured using isothermal titration calorimetry:

Note: isothermal titration calorimetry also directly yields n, the stoichiometry of binding.

Weber and Salemme (2003) Curr. Opin. Struct. Biol. 13, 115.

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