Molecular Modelling - part of ``Bioinformatik von RNA- und ... · Molecular Modelling atoms are...

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Molecular Modelling part of “Bioinformatik von RNA- und Proteinstrukturen” Sonja Prohaska Computational EvoDevo University Leipzig Leipzig, SS 2011 Sonja Prohaska Molecular Modelling

Transcript of Molecular Modelling - part of ``Bioinformatik von RNA- und ... · Molecular Modelling atoms are...

Page 1: Molecular Modelling - part of ``Bioinformatik von RNA- und ... · Molecular Modelling atoms are point charges with an associated mass collective mathematical expression is the potential

Molecular Modellingpart of “Bioinformatik von RNA- und Proteinstrukturen”

Sonja Prohaska

Computational EvoDevoUniversity Leipzig

Leipzig, SS 2011

Sonja Prohaska Molecular Modelling

Page 2: Molecular Modelling - part of ``Bioinformatik von RNA- und ... · Molecular Modelling atoms are point charges with an associated mass collective mathematical expression is the potential

Protein Structure

levels or organizationPrimary structure: sequence of amino acids (from N- toC-terminus)Secondary structure: β-sheets and α-helicesTernary structure: arrangement of secondary structureelements into foldsQuaternary structure: assoziation of polypeptide changesinto one protein

proteins can be unfolded and refolded

conformation is assumed to be the thermodynamicallyprefered one

mathematical models should allow to predict proteinstructure from the protein sequence

→ Molecular Modelling

Sonja Prohaska Molecular Modelling

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Anfinsen’s dogma and Levinthal’s paradox

Anfinsen’s dogma

The native structure of a protein is determined only by theprotein’s amino acid sequence.

The native structure is a unique, stable and kineticallyaccessible minimum of the free energy.

Levinthal’s paradox

The number of possible conformations available to agiven protein is astronomically large.

A polypeptide chain of 100 residues will have 99 peptidebonds, and therefore 198 different phi and psi bond angles.If each of these bond angles can be in one of three stableconformations, the protein may fold into a maximum of 3198

different conformations.

Sonja Prohaska Molecular Modelling

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Folding Funnel

Sonja Prohaska Molecular Modelling

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Primary Structure

A polypeptide is a single linear polymer chain of amino acidsbonded together by peptide bonds between the carboxyl andamino groups of adjacent amino acid residues.

During the condensation reaction a water molecule is releasedper formed peptide bond.

Sonja Prohaska Molecular Modelling

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Polypeptide chain characteristics

The peptide bond is planar due to its double bond character.

Sonja Prohaska Molecular Modelling

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Polypeptide chain characteristics

dihedral/torsion angles

bond N − Cα Cα − C1 C1 − Nangle φ (phi) ψ (psi) ω (omega)

cis 0◦

trans 180◦

right-handed α-helix −57◦−47◦

antiparallel β-sheet −139◦ +135◦

parallel β-sheet −119◦ +113◦

Possible combinations of φ and ψ values are visualized inRamachandran plots (see next slides).

Sonja Prohaska Molecular Modelling

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Secondary Structure Elements I

Parallel and anti-parallel β-strands can form β-sheets.

Sonja Prohaska Molecular Modelling

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Secondary Structure Elements II

Hydrogen bonds between every N-H group and the oxygen of aC=O group four amino acids down the chain hold the α-helicesin shape.

Sonja Prohaska Molecular Modelling

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Molecular Modelling

atoms are point charges with an associated mass

collective mathematical expression is the potential function

subsumes energetic contributions from multiple physicalforces

and between (all) pairs of atoms (“pair potential”)

reprecented as force field

molecular mechanics minimizes the (static) potentialenergy

molecular dynamics models the behaviour of the systemover time

Sonja Prohaska Molecular Modelling

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Forces that determine protein structure

bonded energy contributionbond lengthsbond anglestorsion angles

non-bonded energy contributionvan der Waals forceselectrostatic interactions

conjugated system distortion

hydrogen bonds

solvent

E total = Ebond + Eangle + E torsion + EWaals + Ecoulomb

Sonja Prohaska Molecular Modelling

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Bond length, angle and torsion

Penalty for molecule geometry deviating from optimal.

Ebondij =

12

kbondij (rij − r0

ij )2 (1)

Eangleijk =

12

kangleijk (θijk − θ0

ijk)2 (2)

E torsionijkl =

12

Vn(1 + cos nφijkl) (3)

r0ij ... optimal bond lengthθ0

ijk ... optimal valence angleVn ... height of the torsional barrierφijkl ... torional anglek ... constants

Sonja Prohaska Molecular Modelling

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van der Waals forces

The Lennard-Jones potential is a simple model toapproximates the interaction between a pair of neutral atoms.

EvanderWaalsij =

Aij

rij12 −

Bij

rij6 (4)

Sonja Prohaska Molecular Modelling

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electrostatic interactions

Coulomb’s law describes the electrostatic interaction betweenelectrically charged atoms. The dipole interactions of amidegroups along the protein backbone has a significant influenceon the overall conformation.

Ecoulombij =

1kcoul

ij

qiqj

rij(5)

rij ... distance between atoms i and jqi ,qj ... partial changes on atoms i and jkcoul

ij ... constant

Sonja Prohaska Molecular Modelling

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AMBER Force Field

Assisted Model Building with Energy Refinement (AMBER) –represents a functional form of force fields as well as amolecular dynamics software package.

E total =∑

Ebondij +

∑Eangle

ijk +∑

E torsionijkl +

∑EvanderWaals

ij +∑

Ecoulombij

Sonja Prohaska Molecular Modelling

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Energy terms for Hydrogen bonds

H O CN HN O

C

Ehydroij =

Cij

rij12 −

Dij

rij10 (6)

The equation takes only the distance of i (H on H-Donor) and j(O on H-Aceptor) into account but not the angle.

Sonja Prohaska Molecular Modelling

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Literature

Biophysical Chemistry, Part I: The conformation of biologicalmacromolecules by Charles R. Cantor and Paul R. Schimmel;W. H. Freeman and Company, 12. edition, 2002; Chapter 5:“Conformational analysis and forces that determine proteinstructure”, p252-309.

Sonja Prohaska Molecular Modelling