rerun of essentials of week one from rotamers to models and back via the entropy of water

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Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

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Page 1: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

Rerun of essentials of week one

From Rotamers to Models and back via the Entropy of Water

Page 2: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

Protein structure bioinformatics

Predict mutations Analyse mutationsUnderstand biologyDesign medicines (etc)

Homology modelling for the above

Page 3: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

Mutations and rotamers

‘Rotamer’ is an abused word. It both means any side chain conformation and preferred side chain conformation.

Page 4: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water
Page 5: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water
Page 6: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

Improbable things

Page 7: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

©CMBI 2006

β-branched prefers β-strand

Page 8: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

Common sense and tau…

Valine, Isoleucine, and Threonine are β-branched. Common sense dictates to treat their tau angles special. Their γ-atoms bulldozer into their own backbone, and that is why β -branched residues prefer β -strands

Page 9: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

Tau angle

Page 10: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

Rotamers

So, there is much we don’t understand

Page 11: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

RotamersPredict mutations Analyse mutationsHelp with dockingHomology modellingStructure validation

Page 12: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

Model!

1: Template recognition and initial alignment

2: Alignment correction

3: Backbone generation

4: Loop modeling

5: Sidechain modeling

6: Model optimization

7: Model validation

8: Iteration

8: Iteration

8: Iteration

8: Iteration

Page 13: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

MUTANT DESIGN

BIO-INFORMATICS

QUESTION

‘MOLECULARBIOLOGY’

BIOPHYSICS

Page 14: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

MutationsProtein stability Enzyme activityEnzyme specificityAntigenicityValidate/falsify hypothesesEtcetera

Page 15: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

PROTEIN STABILITY

ΔG = ΔH - TΔS ΔG = -RT ln(K)

K = [Folded] / [Unfolded]

So, you can interfere either with the folded, or with the unfolded form.

Choosing between ΔH and ΔS will be much more difficult, because ΔG is a property of the complete system, including H2O….

Page 16: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

There is a natural tendency for all things (even atoms & molecules) to roll downhill - to fall to lower energy.

H wants to be negative

This is opposed (at the molecular level) by the equally natural tendency for thermal/Brownian motion (otherwise known as “entropy”) to make things go the other way…

…and this effect gets bigger as the temperature increases.

T.S wants to be positive

A bluffer’s guide to Thermodynamic Equilibrium, by Alan Cooper

Page 17: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

Thermodynamic Equilibrium, expressed in terms of the Gibbs Free Energy change, reflects just the balance between these opposing tendencies…

G = H - TS

Equilibrium is reached when these two forces just balance (G = 0).

The standard free energy change, G, is just another way of expressing the equilibrium constant, or affinity (K) for any process, on a logarithmic scale…

G = -RTlnK

Page 18: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

H(T) = H(Tref) + Tref

T

Cp .dT

S(T) = S(Tref) + Tref

T

(Cp /T).dT

Both enthalpy and entropy are integral functions of heat capacity...

….from which DG = DH - T.DS

So DCp is the key - if we can understand heat capacity effects, then we can understand everything else.

Page 19: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

So, what is the role of water?

So DCp is the key - if we can understand heat capacity effects, then we can understand everything else. And DCp is largely determined by the interactions between water and the macromolecule(s).

In figure b many more waters are free than in a. And free waters are happy waters!

Page 20: Rerun of essentials of week one From Rotamers to Models and back via the Entropy of Water

Stability engineeringEntropic versus enthalpicFolded versus unfolded formThermodynamic versus kineticAlways compensatory