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A Winter Short Course on Statistical Mechanics for Molecular Simulations Lecture 5: Free Energy Calculations Yuan-Chung Cheng yuanchung@ntu.edu.tw 2/9/2015 Enhanced Sampling Methods n Biasing potential methods Umbrella sampling


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A Winter Short Course on Statistical Mechanics for Molecular Simulations

Lecture 5: Free Energy Calculations

Yuan-Chung Cheng yuanchung@ntu.edu.tw 2/9/2015

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Enhanced Sampling Methods

n Biasing potential methods

¨ Umbrella sampling ¨ Metadynamics ¨ Steered MD/Local elevation/Conformational

flooding/adaptive force bias…

n Multicanonical methods

¨ Parallel Tempering (Replica exchange) ¨ Integrate-over-temperature (Yi Qin Gao)

n Transition path methods…

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Umbrella Sampling

n Sample with umbrella

potential U'(x)

n Compute biased probability

P'(x)

n Estimate unbiased free

energy A(x) = −kBT ln P’(x) − U’(x)+F

n F is undetermined n Multiple biasing potentials

can be used (multiple windows)

Steven O. Nielsen's slides (http://www.utdallas.edu/~son051000/comp/FreeE.pdf)

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Weighted Histogram Analysis Method

n Potentials can be combined using WHAM

(Kumar, et al. J Comput Chem, 13, 1011,1992)

Steven O. Nielsen's slides (http://www.utdallas.edu/~son051000/comp/FreeE.pdf)

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Steven O. Nielsen's slides (http://www.utdallas.edu/~son051000/comp/FreeE.pdf)

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Steven O. Nielsen's slides (http://www.utdallas.edu/~son051000/comp/FreeE.pdf)

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Steven O. Nielsen's slides (http://www.utdallas.edu/~son051000/comp/FreeE.pdf)

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Potential of mean force from constrained MD simulations

Steven O. Nielsen's slides (http://www.utdallas.edu/~son051000/comp/FreeE.pdf)

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Umbrella sampling

Steven O. Nielsen's slides (http://www.utdallas.edu/~son051000/comp/FreeE.pdf)

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Steven O. Nielsen's slides (http://www.utdallas.edu/~son051000/comp/FreeE.pdf)

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Steven O. Nielsen's slides (http://www.utdallas.edu/~son051000/comp/FreeE.pdf)

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Replica Exchange - Overcoming Free Energy Barrier

n Non-directed method

(no reaction coordinate)

n How to sample unfavorable

states?

n At high T, barriers are easier

to overcome.

n Heat and cool the system to

push it over barriers to sample new configurations

Steven O. Nielsen's slides (http://www.utdallas.edu/~son051000/comp/FreeE.pdf)

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Replica Exchange - Overcoming Free Energy Barrier

n Launch simulations at different

temperatures

n Swap configurations based on

the metropolis criterion:

n The lowest temperature

“trajectory” samples from the Boltzmann distribution.

n Swapping configurations

effectively improves sampling

Steven O. Nielsen's slides (http://www.utdallas.edu/~son051000/comp/FreeE.pdf)

  • verlap is important for

efficiency of sampling Monte Carlo step: exchanged Monte Carlo step: exchange rejected

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