Funnel Gas Model for Protein Many-Body Systems under the Crowded - - PowerPoint PPT Presentation

funnel gas model for protein many body systems under the
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Funnel Gas Model for Protein Many-Body Systems under the Crowded - - PowerPoint PPT Presentation

Funnel Gas Model for Protein Many-Body Systems under the Crowded Environment Macoto Kikuchi 1 , Yoshikatsu Tada 1 , Nobu C. Shirai 2 1.Cybermedia Center, Osaka Univ. 2.Center for Information Technologies and Networks, Mie Univ. Goal of the talk


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Funnel Gas Model for Protein Many-Body Systems under the Crowded Environment

Macoto Kikuchi1, Yoshikatsu Tada1, Nobu C. Shirai2

1.Cybermedia Center, Osaka Univ. 2.Center for Information Technologies and Networks, Mie Univ.

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Goal of the talk

1

Introduce a simple lattice-gas type model to describe the system consisting of proteins and crowding molecules.

2

Apply the effective free-energy of the model to discuss the crowding effect on the folding of small globular proteins

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Part 1

Construction of the Funnel Gas Model

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Motivation

Background Foldable proteins have funnel-like energy landscape

Energy landscape theory or funnel picture (e.g. Wolyness)

Interior of the living cells is crowded by biological molecules

Molecular crowding effect (e.g. Minton)

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Purpose To simulate the protein many-body system with crowding molecules, we need an appropriately coarse-grained model. We develop a Lattice-gas based model A prototype model has already been introduced in Shirai and Kikuchi, J.Chem.Phys. 144 (2016) 055101.

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Setup

Proteins A protein has internal states, for which the funnel-like free-energy landscape is taken into account: FUNNEL GAS! The native state occupies a single site A few denatured states that occupy one or more sites (expanded) Crowding molecules A crowding molecule occupy a single site Interact only through on-site excluded volume effect (no other interactions considered)

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Crowder Native Denatured Denatured

Concept of Funnel Gas Model

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A Little bit of theory

Protein fi : Free energy of i-th state vi : Volume (number of the occupation sites)

  • f i-th state

ni : Number of proteins at i-th state

i ni = N : Total number of proteins

Protein-protein interactions can also be taken into account.

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System Fixed number of proteins + Grand-canonical ensemble of crowders Partition Function Ξ = Tr [ M ∑

m=0

(M m ) eβµme− ∑

i βfini

] β: Inverse temperature µ: Chemical potential of the crowders M: Number of the free sites on which the crowders can be placed

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Using the binomial theorem, Ξ is rewritten as Ξ = eαVTr [ e− ∑

i(βfi+αvi)ni

] , where α = log(1 + eβµ) The crowders are traced out.

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Effective Free Energy for a Protein βf eff

i

= βfi + α vi Volume dependent modification

also depends on the density of crowders through α

Effective Partition Function Z eff = Tr [ e−β ∑

i f eff i

ni

] Equivalent to the canonical ensemble consisting only of proteins with the effective free-energy f eff

i

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We can simulate the protein many-body systems under the crowding environment without explicitly considering the crowding molecules.

Computational effort is largely reduced.

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Limitation of the model

Crowding molecules should not be too small

The depletion force (Asakura and Osawa) is not taken into account.

Crowding molecules should not be too large

The volume of denatured states does no effect

The model is suitable for the case that the size of the crowding molecules are comparable to that of the native state of the protein

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Part 2

Molecular Crowding Effects on Protein Folding

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Motivation

Effective free-energy derived for the funnel gas model βf eff

i

= βfi + α vi By identifying vi as the volume of i-th conformation, we can use f eff

i

to obtain an approximate free-energy landscape of the protein for any model

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Application

Study the effect of molecular crowding on the folding of small globular proteins using f eff

i .

Model Go model on SC lattice for protein

This lattice is different from the one used in the funnel gas model To calculate f eff

i

, the protein is considered as a sphere of the radius Rg (radius of gyration).

Crowders are treated by the funnel gas model

  • f closed-packed lattice.

Size of the crowders is taken as the same as that

  • f the native state of the protein
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Native conformations of toy proteins

Up-Down β Burrel Four-Helix Bundle

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Free-energy landscapes for proteins without crowders are obtained using the Multi-Self-Overlap-Ensemble Monte Carlo method Chikenji, Kikuchi and Iba, PRL 83 (1999) 1886.

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Result: Up-Down β burrel

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4 3 5 3 2 5 2 1 5 1 5 E 2 3 4 5 6 7 Rg

α = 0.0

43.94 41.94 39.94 37.94 35.94 33.94

Free energy landscape at Tf (no crowder)

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4 3 5 3 2 5 2 1 5 1 5 E 2 3 4 5 6 7 Rg

α = 0.32

44.94 42.94 40.94 38.94 36.94 34.94 21.66

crowder volume fraction φ ≃ 0.2

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4 3 5 3 2 5 2 1 5 1 5 E 2 3 4 5 6 7 Rg

α = 0.78

44.94 42.94 40.94 38.94 36.94 34.94 2.02

crowder volume fraction φ ≃ 0.4

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4 5 4 3 5 3 2 5 2 1 5 1 5 E 45 44 43 42 41 40 39 f

α = 0.0 α = 0.32 α = 0.78

Energy vs. Free Energy at Tf

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Result: Four-Helix Bundle

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1 8 6 4 2 E 4 6 8 10 Rg

α = 0.0

104.15 101.15 98.15 95.15 92.15 89.15 86.15

Free energy landscape at Tf (no crowder)

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1 8 6 4 2 E 4 6 8 10 Rg

α = 0.32

106.15 103.15 100.15 97.15 94.15 91.15 88.15 41.83

crowder volume fraction φ ≃ 0.2

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1 8 6 4 2 E 4 6 8 10 Rg

α = 0.78

106.1 103.1 100.1 97.1 94.1 91.1 88.1 22.0

crowder volume fraction φ ≃ 0.4

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1 2 1 8 6 4 2 E 110 105 100 95 90 85 f

α = 0.0 α = 0.32 α = 0.78

Energy vs. Free Energy at Tf

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The native state is stabilized by the crowding

  • effect. ← Expanded conformations of the

denatured state becomes unstable Although this effect has long been expected intuitively or from some simulation results (e.g. Cheung et al. (2005)), the present formulation clearly explains the origin of the effect.

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Summary

We formulated the funnel gas model for simulating protein many-body systems under the crowded environment. The effect of the crowder is absorbed in the effective free energy of the protein as long as

  • nly the excluded volume interaction is taken

into account. We applied the effective free energy to folding

  • f small globular proteins and showed that the

native states are stabilized by destabilization of the expanded denatured state due to the molecular crowding effect.