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Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept. of Chemistry and Courant Institute of Mathematical Sciences New York University, 100 Washington Sq. East New York, NY 10003
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Page 1: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Enhanced conformational sampling via very large time-step

molecular dynamics, novel variable transformations and

adiabatic dynamics

Mark E. Tuckerman

Dept. of Chemistry

and Courant Institute of Mathematical Sciences

New York University, 100 Washington Sq. East

New York, NY 10003

Page 2: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Acknowledgments

• Zhongwei Zhu • Peter Minary• Lula Rosso• Jerry Abrams

• NSF - CAREER• NYU Whitehead Award• NSF – Chemistry, ITR• Camille and Henry Dreyfus

Foundation

Students past and present Postdocs

• Dawn Yarne• Radu Iftimie

Collaborators

• Glenn Martyna• Christopher Mundy

Funding

Page 3: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Talk Outline

• Very large time-step multiple time scale integration that avoids resonance phenomena.

• Novel variable transformations in the partition function for enhancing conformational sampling.

• Adiabatic decoupling along directions with high barriers for direct computation of free energies.

Page 4: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Multiple time scale (r-RESPA) integration

fast slow

pr

mp F F

fast slow ref slow

piL F F iL iL

m r p p

3

x( ) exp( )x(0)

= exp( / 2) exp( ) exp( / 2) ( )n

slow ref slow

t iL t

iL t iL t iL t O t

MET, G. J. Martyna and B. J. Berne, J. Chem. Phys. 97, 1990 (1992)

Page 5: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Resonance Phenomena

• Large time step still limited by frequency of the fast force due to numerical artifacts called resonances.

• Problematic whenever there is high frequency weakly coupled to low frequency motion

Biological Force Fields

Path integrals

Car-Parrinello molecular dynamics

Page 6: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Illustration of resonance

2 2 fast slowF x F x

2

2

(0) (0)2

'( ) (0)cos( ) sin( )

(0)cos( ) (0)sin( )

( ) ( )2

tp p x

px t x t t

p p t x t

tp t p x t

( ) (0)( , , )

( ) (0)

x t xA t

p t p

A. Sandu and T. S. Schlick, J. Comput. Phys. 151, 74 (1999)

Page 7: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Illustration of resonance (cont’d)2

2 4 22

1cos( ) sin( ) sin( )

2( , , )

sin( ) cos( ) cos( ) sin( )4 2

tt t t

A tt t

t t t t t

Depending on Δt, eigenvalues of A are either complex conjugate pairs

Note: det(A) = 1

2 Tr( ) 2A

or eigenvalues are both real

| Tr( ) | 2A Leads to resonances (|Tr(A)| → 2) at Δt = nπ/ω

Page 8: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Resonant free multiple time-scale MD

• Resonance means time steps are limited to 5-10 fs for most problems.

• Assign time steps to each force component based on intrinsic time scale.

• Prevent any mode from becoming resonant via a kinetic energy constraint.

• Ensure ergodicity through Nosé-Hoover chain thermostatting techniques.

P. Minary, G. J. Martyna and MET, Phys. Rev. Lett. 93, 150201 (2004).

Page 9: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Review of isokinetic dynamics

Constraint the kinetic energy of a system:

2 3 1

2 2i

i i

NkT

m

p

Introduce constraint via a Lagrange multiplier:

ii i i i

im

pr p F p

Derivative of constraint yields multiplier:

/

0 /

i i ii i i

i i ii ii i i i i

i

m

m m m

F pp pp F p

p p

Partition function generated:2

( )3 1

2 2N N Ui

i i

Nd kT d e

m

rp

p r

Page 10: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Review of Nosé-Hoover EquationsFor each degree of freeom with coordinate q and velocity v,

1

1

1

2

1,...,

1,..., 1

i

i i i

M

i

i

i

M

i

q v

Fv v v

mv i M

Gv v v i M

Q

Gv

Q

G Qv kT

Page 11: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

New equations of motion (Iso-NHC-RESPA)Couple each degree of freedom to the first element of L NHCs of length M

2, 1,

1,

1, 1, 2 , 1,

, , 1,

,

2

1 2

,

,

1,...,

1,..., ; 2,..., 1

j j

j

j j j j

i j i j i j

M j

L M

j i

i j

M j

q v

Fv v

m

Qv vv

kT

v v v v j L

Gv v v j L i M

Q

Gv

Q

1,

1, 2 ,

2,

2

1

1,...,

1

i j

j j

i j

L

j

j L

G Qv kT

LvF Qv v

L

LkT

Ensures the constraint: 1,

2 2

1

( , )1 j

L

j

LK v v mv Qv LkT

L

is satisfied.

Page 12: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Classical non-Hamiltonian statistical mechanics

x (x)General equations of motion:

Consider a solution:

0x x (x )t t

If the equations are non-Hamiltonian.Κ(x) called the compressibility of the equations.

(x) x= (x) 0

In order to generalize Liouville’s theorem, we need to determine:

00

x(x , x )

xt

tJ

Tuckerman, Mundy, Martyna, Europhys. Lett. 45, 149 (1999); Tuckerman, et al. JCP 115, 1678 (2001).

Page 13: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Classical non-Hamiltonian statistical mechanics

Tr(ln M)0(x , x ) det(M)tJ e

Tr(ln M) 1 10 0

M M(x , x ) Tr M (x , x )Tr Mt t

d d dJ e J

dt dt dt

1 0

0 0

x x x

x x x

i i iijt t

ij ijj j jt

dMM M

dt

1 0 0

, , ,0 0

x x x x xMTr M

x x x x x

i j i j kt t t

j i j k ii j i j kt t t

d

dt

10

, , , , ,0

x x x x x xx = (x )

x x x x x x

k i j j j jt t t t t

ki ij kj t ti j k k k ji j k i j k j k jt t t t t

M M

Page 14: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Classical non-Hamiltonian statistical mechanics

0 0(x , x ) (x ) (x , x )t t t

dJ J

dt 0 0(x , x ) 1J

Solution: 0 (x )

0(x , x )t

sds

tJ e

Note that for Hamiltonian systems, κ(x)=0 and J(xt,x0)=1.

Define: (x ) (x , )t t

dw t

dt

Then: 0(x , ) (x ,0)0(x , x ) tw t w

tJ e

Whence:0 0x (x , x ) x t td J d 0(x , ) (x ,0)

0x xtw t wte d e d

Page 15: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Classical non-Hamiltonian statistical mechanics

Define a metric factor:(x , )(x , ) tw t

tg t e

In addition, suppose the dynamical equations have Nc conservationlaws of the form:

(x ) (x ) 0 1,...,k t k t c

dC k N

dt

Then, the dynamical system, assuming ergodicity, will generatea “microcanonical” ensemble whose partition function is:

11

( , , ,..., ) (x) (x) xc

c

N

N k kk

N V C C g C d

Also, assume equilibrium conditions, i.e. that (x , ) (x )t tg t gand the phase space distribution has no explicit time dependence.

Page 16: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Phase space distribution

( ) /(x) U kTg e r

( )(x)

U

kT

r

3

( )3 ( ) ( ) ( )

1

( , N

K vN NLM k k N U

k

d d v e K v v LkT d e

rv r

For the Iso-NHC-RESPA method:

Metric Factor:

For the present system:

Page 17: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Integration of the equations

1,

1,

NHC1

1

s

s

s j

j

N

q vs

q

L

v s s sj

iL iL iL iL

iL vq

iL F v vv v

21

2 1 2

,,1NHC 1 NHC

22

/ 2/ 2/ 2 / 2

1 1 1

T TN Ns s

k

v s sqvk s

nniL t iL tiL t iL t iL tiL t

iL w tiL tiL tiL t iL t iL t

s s s

e e e e e e

e e e e e e

w n w w

Liouville operator decomposition:

Factorized propagator:

Page 18: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Numerical illustration of resonance

2 49( ) 0.025

2U x x x

Harmonic oscillator with quartic perturbation

3 4 100

tL M t

bins

exact1bins

1( ) ( ; ) ( )

N

i ii

t P x t P xN

Page 19: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Flexible TIP3P water2

bond bend 450 kcal mol A 55 kcal molk k

1 2 3 0.5 fs 3 fs ?t t t Intramolecular forces

Short-range forces cutoff = 5Å

Long-range forces10 Å + Ewald

Page 20: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

HIV-1 Protease in vacuo

1 2 3 0.5 fs 3 fs ?t t t

1.5 2.5 3.5 4.5

rCH (A)

g(r)

0.9 1.0 1.1 1.2

Page 21: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 22: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Conformational sampling in Biophysics

• “Ab initio” protein/nucleic acid structure prediction: Sequence → Folded/active structure.

• Enzyme catalysis.

• Drug docking/Binding free energy.

• Tracking motion water, protons, other ions.

Page 23: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Unfolded State

Native State

Misfolded State

Page 24: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

The conformational sampling problem

• Find low free energy structures of complex molecules

• Sampling conformations described by a potential

function: V(r1,…,rN)

• Protein with 100 residues has ~1050 conformations.

• “Rough free energy landscape” in Cartesian space.

• Solution: Find a smoother space in which to work.Z. Zhu, et al. Phys. Rev. Lett. 88, art. No. 100201 (2002)P. Minary, et al. (in preparation)

Page 25: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 26: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 27: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 28: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

REPSWA (Reference Potential Spatial Warping Algorithm)

Page 29: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

No Transformation Transformation

Page 30: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Barrier Crossing Transformations (cont’d)

Page 31: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Vref(Φ)

Page 32: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 33: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 34: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 35: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

A 400-mer alkane chain

Page 36: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

RIS Model value: 10

No Transformation Transformation

Page 37: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 38: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 39: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 40: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Model sheet protein No TransformationParallel TemperingDynamic transformation

Page 41: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

No TransformationsTransformations

Page 42: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 43: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

L. Rosso, P. Minary, Z. Zhu and MET, J. Chem. Phys. 116, 4389 (2000)

)0()exp()(

)()(

)()(~

1

11

11

1

xiLttx

TiLTiL

pqF

qm

p

pqF

qm

piL

thth

kk

kk

k

k

Page 44: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 45: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Conformational sampling of the solvated alanine dipeptide

ψφ

AFED Tφ,ψ = 5T, Mφ,ψ = 50MC 4.7 nsUmbrella Sampling 50 ns

CHARM22αR

β

[L Rosso, J. B. Abrams and MET (in preparation)]

Page 46: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Conformational sampling of the gas-phase alanine dipeptide

ψφ

AFED Tφ,ψ = 5T, Mφ,ψ = 50MC 3.5 nsUmbrella Sampling 35 ns

CHARM22

β

Page 47: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Conformational sampling of the gas-phase alanine tripeptide

AFED Tφ,ψ = 5T, Mφ,ψ = 50MC 4.7 nsUmbrella Sampling 50 ns

β

Cax7

φ1

ψ1ψ2

φ2

Page 48: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Conformational sampling of the solvated alanine tripeptide

Page 49: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 50: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 51: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Closed ~ 5Å

Open ~15Å

R

• Protonation state of the active site important in drug binding

Page 52: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

RIS Model value: 14

No Transformation Transformation

Page 53: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.
Page 54: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Water Number Density (Å )

Protease alone: 0.024 Protease + drug: 0.015

Protease alone

Protease + drug

Z. Zhu, D. I. Schuster and MET, Biochemistry 42, 1326 (2003)

Avg. cavity dimensions (Å)HeightWidth

PR alone 20.7 12.3PR + drug 19.2 17.3PR + Saq. 20.2 15.1

Bulk water: 0.033

-3

Page 55: Enhanced conformational sampling via very large time-step molecular dynamics, novel variable transformations and adiabatic dynamics Mark E. Tuckerman Dept.

Conclusions• Isokinetic-NHC-RESPA method allows time steps as large as 100 fs to be used in

typical biophysical problems.

• Variable transformations lead to efficient MD scheme and exactly preserve partition function.

• Speedups of over 106 possible in systems with many backbone dihedral angles.

• Trapped states are largely avoided.

• Future: Combine variable transformations with Iso-NHC-RESPA

• Future: Develop variable transformations for ab initio molecular dynamics, where potential surface is unknown.


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