Simulations of the folding and aggregation of peptides, proteins and lipids. BRISBANE School of...

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Simulations of the folding and aggregation of peptides, proteins and lipids. BRISBANE School of Molecular and Microbial Sciences (SMMS) Chemistry Building (#68) University of Queensland Brisbane, QLD 4072, Australia Email [email protected] Phone: +61-7-33469922 FAX: +61-7-33654623 Centre Secr: +61-7-33653975 GRONINGEN Lab. of Biophysical Chemistry University of Groni Nijenborgh 4 email 9747 AG GRONINGEN The Netherla tel +31.50.3634457 fax: +31.50.3634800 tel secr: +31.50.3634323 email:[email protected] secr: [email protected] http://md.chem.rug.nl Alan E. Mark Herman Berendsen Siewert-Jan Marrink
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Transcript of Simulations of the folding and aggregation of peptides, proteins and lipids. BRISBANE School of...

Simulations of the folding and aggregation of peptides, proteins and lipids.

BRISBANE School of Molecular and Microbial Sciences (SMMS)Chemistry Building (#68)University of QueenslandBrisbane, QLD 4072,Australia

Email [email protected]: +61-7-33469922 FAX: +61-7-33654623Centre Secr: +61-7-33653975

GRONINGEN Lab. of Biophysical Chemistry University of Groningen Nijenborgh 4 email 9747 AG GRONINGEN The Netherlands

tel +31.50.3634457fax: +31.50.3634800tel secr: +31.50.3634323email:[email protected] secr: [email protected]

http://md.chem.rug.nl

Alan E. Mark Herman BerendsenSiewert-Jan Marrink

Peptide folding and assembly:

Our best example of peptide folding to date is a the beta-hexapeptide shown on the following slides (solvent Methanol).

1. This system is fully reversible. 2. We have simulations of this and other systems to > 200ns at temperatures from 180 -> to 450K.3. We have replica exchange simulations of a slightly modified system

showing 1000’s of individual folding events. 4. As far as we can determine our modified system approaches full

convergence in 200-400 ns. 5. Trajectories are available.

-Peptides

i) -amino-acids (additional backbone carbon)ii) Stable 2nd structure.iii) Non-degradable peptide mimetics

(e.g. highly selective somatastatin analogue)

D. Seebach, B. Jaun + coworkersorganic chem ETH-Zurich

-Heptapeptide (M) 31-helix in MeOH at 298 K

(left-handed)

Daura, X., Bernhard, J., Seebach, D., van Gunsteren, W. F. and Mark, A. E. (1998)

J. Mol. Biol. 280, 925-932.

unfold fold unfold fold fold unfoldunfold

-Heptapeptide, 340 K

Starting structure

-Heptapeptide, 360 K

Gfolding = -RT ln (folded/unfolded)

Predict Probability of Individual Microstates in Solution

G=~6 kJ/mol G=~8 kJ/molG=0 kJ/mol G=~9 kJ/mol G=~9 kJ/mol

Daura, X., van Gunsteren, W. F. and Mark, A. E. (1999) Proteins: Struct. Funct. Genet. 34, 269-280.

Folding Pathways

Simulations of peptide folding

As part of our program we are looking a range of larger peptides. So far gettingreversible folding from random starting structures has proved difficult for systems > 20 a.a.

In particular we are investigating a series of related helical peptides (~20 a.a.) with fast folding kinetics

AP A5(A3RA)3A

YGA Ac-YG(AKA3)2AG-NH2

YGG Ac-YGG(KA4)3K-NH2

So far results are limited but we have seen reversible transitions. An example is given below.

AP A5(A3RA)3A

Ref: Lednev I. K. et al. J. Am. Chem. Soc. 1999, 121, 8074-8086.

A 21 amino acid, mainly alanine, α-helical peptide (AP). The folding/unfolding activating barriers based on an nanosecond UV resonance Raman study. ~8 kcal/mol activation barrier; reciprocal rate constant ~240±60 ns at 37 °C (310 K).

MD simulation start from the α-helix structureThe GROMOS 45A3 force field was adopted

Coil β-Sheet β-Bridge Bend Turn α-helix 5-Helix 3-HelixTime (ps)

Res

idu

e

Secondary structure

The secondary structure as a function of time shows one refolding transition in 100ns.

N-ter

C-ter

0 ns (starting structure)

N-ter

C-ter

10 ns

N-ter

C-ter

30 ns

C-ter

N-ter

50 ns

N-ter

C-ter

75 ns

N-ter

C-ter

70 ns

N-terC-ter

80 ns

N-ter C-ter

85 ns

N-ter

C-ter

100 ns

Other peptide systems on which we have simulations showing partial folding or assemble include:

1. Various amyloid forming peptides on surfaces.2. Betanova (a designed triple stranded peptide)3. A series of coiled-coils.4. WW domain peptide (~20 a.a. peptide studied by replica exchange)5. Several proteins showing recovery from mild denaturing conditions.

Spontaneous Aggregation of Lipids and

Surfactants

I believe this is one area where complexity analysis should be able to perform well as the systems show spontaneous generation of order.

We have multiple simulations of: 1. Bilayer formation (course grained and in atomic detail)2. Vesicle formation (course grained and in atomic detail)3. Phase transitions (course grained and in atomic detail)4. Membrane and vesicle fusion.

Note: these are highly reproducible collective processes involving 100’s to 1000’s of lipids.A few examples are given below.

S.J. Marrink

A

Ceq

CB

DeqC*

Spontaneous assembly of phospholipds into a bilayer

0 ns 0.2 ns 3 ns

10 ns 20 ns 25 ns

Density Evolution Showing the Generation of Orderde

nsit

y

water head groups lipid tails

S.J. Marrink