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Page 1: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation
Page 2: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Atomic-Detail Computer Simulation

Model System

Molecular Mechanics Potential

ji ij

ji

ji ij

ij

ij

ijij

impropersdihedrals

N

n

n

anglesbondsb

Dr

qq

rr

KnK

kbbkV

,,

612

20

1

20

20

4

cos1

Energy Surface Exploration by Simulation..

Page 3: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Lysozyme in explicit water

Page 4: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Model System

•set of atoms•explicit/implicit solvent•periodic boundary conditions

Potential Function

•empirical•chemically intuitive•quick to calculate

Tradeoff: simplicity (timescale) versus accuracy

Page 5: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

2/8MM Energy Function

l

r

qi qj

Page 6: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

ij

jielec r

qqV

Electrostatic interaction potential energy between two like-charged atoms.

A particular value of rij specifies the configuration of the system. In the above case one coordinate (degree of freedom) suffices to define the configuration of the system.

ij

elecij r

VF

Page 7: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

20 )( llkV ll

kl = force constantlo=equilibrium value

first approximation

- a molecule will tend to minimize its potential energy.

Page 8: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

20 )( kV

Page 9: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

nkV 1

Each different potential energy minimum defines a separate conformation of the molecule.

Page 10: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

6min12min

ij

ij

ij

ijijvdw r

R

r

RV

Page 11: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

2/8MM Energy Function

l

r

qi qj

Page 12: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Molecular Mechanics Force Field

bonds angles dihedrals impropers

bbonded knkkbbkE 20

20

20 )(])cos[1()()(

bondednonbonded EERV )(

ij

ji

jiji ij

ij

ij

ijijbondednon r

qq

rrE

,,

612

4

14

CHARMM Energy Function:

Page 13: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Interaction Energy of Two Peptide Groups

Page 14: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Crystal structure of L-Leu-L-Val methanol solvate showing methanol-peptide group hydrogen bonding. (From C. H. Görbitz and E. Torgersen Acta Cryst.

(1999). B55, 104-113).

Page 15: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Determining Parameters

experimental data ab initio results

• X-ray and neutron scattering crystal structures

• vibrational frequencies (IR-Raman)

• NMR measurements

• crystal lattice constants

• Hessian matrix elements normal modes

• forces

• energy barriers

• electrostatic potential

Page 16: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Infrared spectrum of arginine. The frequency is given in wavenumbers. (From Chapo, C. J.; Paul, J. B.; Provencal, R. A.;

Roth, K.; Saykally, R. J. J. Am. Chem. Soc. 1998, 120, 12956-12957.)

(k 2)

Determining Force Constants

Page 17: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Basics of Quantum Chemistry.

Schrödinger equation:

H=E

where E is the energy of the system,

H is the Hamiltonian operator,

H=T+V.

V=Vnn+Vne+Vee.

Born-Oppenheimer Approximation Potential Energy Surface.

Page 18: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

2 x 1020 years

Ne2Ne

Number of Electrons (N)

3 Mio years

1 year

1 month

12 hours

Size30 100 00010 0001 00010010

time ~ N6

bR

Page 19: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Quantum-chemically optimized structure of a fluorescent probe: Rhodamine 6G.

Page 20: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Case Study: Cholesterol

Regulates:• membrane fluidity• membrane permeability• lateral mobility of proteins

Cholesterol (~ 40%)

in plasma membrane

Page 21: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Normal Mode Analysis

Approximate the complex energy landscape by harmonic potentials

Force Constant Matrix: Hessianji

ij rr

VH

)(2 r

Normal Modes

at the energy minimum

vibrational frequencies energy

eigenvectors internal motions

Water

Normal Modes

MM

QM

Page 22: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Automated Frequency Matching Method for Parameter Development*

• Fitting the molecular mechanics potential (CHARMM):

• vibrational frequencies

• eigenvector projections

From quantum chemical calculations

* A.C. Vaiana et al., J.Comput.Chem., 24: 632, 2003

• Frequencies AND the sets of eigenvectors should coincide

NWChem - DFT (B3LYP)

Page 23: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Automated Frequency Matching (2)

• Refinement of parameter set: Monte Carlo Algorithm

• Optimizations performed separately for bond, angle, torsion and improper constants

• VDW parameters were not optimized

1) Project the CHARMM eigenvectors onto the reference NWChem

CHARMM eigenvectors:

NWChem eigenvectors:

C

N

max):(max Nj

Cij jv

ijNj

Ci

2) Minimize Merit Function:

3) Results are iteratively refined to fit the results of the quantum chemical normal mode calculations

63

2max2 )(N

ji vvY

Ideal case: maxji vv

Projection:

Frequency correspondingto max. projection:

Page 24: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Starting parameters

Compare MM and QM NMA results

Calculate Y2

Y2new Y2

old

Run NMA in CHARMM

Keep old parameters

N

Keep newparameters

Check forconverg.

Change Parameters

Y

N

YSTOP

• Convergence criterion:2.500 steps of constant Y2

63

2max2 )(N

ji vvY

Page 25: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Results

Root Mean Square Deviation:

163

2max

98.3973

cmN

vvN

ji

Fig. The line is the ideal case of perfectly matched frequencies and eigenvector projections ; points refer to optimized parameters

• overall agreement of CHARMM and quantum chemical normal modes• biologically relevant modes (low frequencies) are well reproduced

Page 26: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Calculating the Point Charges

Page 27: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Calculating the Point Charges

•Basis Set: 6-31G*

•Method: CHELPG

• not within atom radius - unrealistic charge

• not too far away from the molecule

calculate the potential on a grid

Constraints:

• sum of the charges equal to zero

• grouping in subsets of atoms constrained to have zero charge

Page 28: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

The electrostatic potential (r) at a point r is defined as the work done to bring a unit positive charge from infinity to the point.

The electrostatic interaction energy between a point charge q located at r and the molecule equals q(r).

Electrostatic potential mapped onto the electron density surface for 2-bromo-2-chloro-1,1,1-trifluoroethane (halothane). (From: Pei Tang, Igor Zubryzcki, Yan Xu J comp chem. 22 436 (2001)).

Page 29: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

X-Ray Quantum Chemistry

Electron density in the peptide bond plane of DL-alanyl-methionine (from Guillot et al Acta Cryst B 57(4) 567 (2001)).

Page 30: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Electrostatic potential generated by the NADP+ cofactor in the plane of the nicotinamide ring an aldose reductase complex.Blue, positive; red, negative; black dotted line, zero level.

(From Nicolas Muzet , Benoît Guillot, Christian Jelsch, Eduardo Howard and Claude Lecomte PNAS 2003 | vol. 100 | no. 15 | 8742-8747)

Experimental. Theoretical.

Page 31: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Transition state structure for the catalytic mechanism of a Tyrosine Phosphatase calculated using Density Functional Theory (From Dilipkumar Asthagiri, Valerie Dillet, Tiqing Liu, Louis Noodleman, Robert L. Van Etten, and Donald Bashford J. Am. Chem. Soc., 124 (34), 10225 -10235, 2002.)

Page 32: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Rotational Barrier

H

O C3

C2

C2

C3OH

cyclohexanol

Page 33: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

dihedral k n

CTL2 CTL1 OHL HOL 0.23 3 0.00

HAL1 CTL1 OHL HOL 0.23 3 0.00

HAL1 CTL1 OHL HOL 1.3 1 180.00

Rotational Barrier of H – O – C3 – C2

(Kept fixed during optimization)

Page 34: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Example of a torsional potential.Potential energy profile for rotation of the two ringsof biphenyl around the central bond.

Page 35: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Crystal Simulation

• Crystal Symmetry: P1• 2ns MD simulation of single cholesterol molecule to ensure that stereochemistry is preserved• 2ns MD of crystal• Calculation of RMSD …

Superposition of the experimental and the CHARMM minimized structures for an individual cholesterol molecule

The experimental unit cell

Page 36: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Mean Rmsd = 0.973

Mean Rmsd = 0.617

Mean Rmsd = 0.195 Mean Rmsd = 0.069

Rmsd calculated over the whole trajectory including all atoms

Rmsd calculated over the whole trajectory including atoms with B factors < 10 Å2

RMSD Calculations

Rmsd comparing 1 averaged cholesterol molecule (from the crystal structure) with the averaged cholesterol from trajectory

Rmsd comparing 1 averaged cholesterol molecule (from the crystal structure) with the averaged cholesterol from trajectory, incl. only atoms with B factors < 10 Å2

Page 37: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation
Page 38: Atomic-Detail Computer Simulation Model System Molecular Mechanics Potential Energy Surface  Exploration by Simulation

Application:

Cholesterol in Biomembrane Simulations

Structural Analysis

Dynamical Analysis

• organization in membrane

• interactions with lipids

• H bonding

• motion of cholesterol

• influence on lipid dynamics

• diffusion