bl5203 molecular recognition & interaction section d: molecular modeling

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BL5203 Molecular Recognition & Interaction Section D: Molecular Modeling. Chen Yu Zong Department of Computational Science National University of Singapore Singapore 119260

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BL5203 Molecular Recognition & Interaction Section D: Molecular Modeling. Chen Yu Zong Department of Computational Science National University of Singapore Singapore 119260. Second Part. Computer modeling of molecular interaction. - PowerPoint PPT Presentation

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Page 1: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

BL5203 Molecular Recognition & Interaction

Section D: Molecular Modeling.

Chen Yu ZongDepartment of Computational Science

National University of Singapore Singapore 119260

Page 2: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Second Part

• Computer modeling of molecular interaction.

Page 3: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Forces Involved in Molecular Interactions More info on the web

– Bond stretch– Bond angle bending– Torsion (bond rotation)– Hydrogen bonding– van der Waals interactions– Electrostatic interactions– Empirical solvation free energy

V = bond 1/2Kb (r-req)2 +

Sangle ½ K (-eq)2 +

torsions 1/2 Vn [ 1 + cos(n-') ] + H bonds [ V0 (1-e-a(r-r0) )2 - V0 ] +

non bonded [ Aij/rij12 - Bij/rij

6 + qiqj /r rij] +

atoms i i Ai

Page 4: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Conformation optimization for molecular interaction

Molecular Mechanics Approach:

Page 5: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Other Approaches: Molecular dynamics. • Time-dependent motion trajectory based on

laws of classical physics. • Advantage: "Accurate" dynamics. • Disadvantage: Short-time event only. • Application: "All purpose", most widely used

approach.Curr. Opin. Struct. Biol. 6, 232 (1996).

Page 6: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Other Approaches:

Stochastic Dynamics.• Solvent represented by frictional and

stochastic forces. • Advantage: Large scale motions, simplified

treatment. • Disadvantage: Limited applicability. • Application: Protein transport, Domain

motion, side-chain swing. Ann. Rev. Biochem 53, 263 (1983)

Page 7: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Other Approaches:

Simplified Model Dynamics. • Simplified structure or forces (e.g. HP lattice,

spin glass model). • Advantage: Long time and large scale dynamics. • Disadvantage: Loss of important features. • Application: Protein folding, mechanical

models, solitons. Proc. Natl. Acad. Sci. USA 90, 1942 (1993); 89, 4918

(1992)

Page 8: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Other Approaches:

Energy Landscape Along Motion Pathways. • Generation of motion pathways by bond

rotations.• Molecular mechanics energy analysis. • Advantage: Complete motion trajectories. • Disadvantage: Limited to “straightforward”

motions. • Application: DNA base opening, base flipping

motions.Phys. Rev. E62, 1133-1137 (2000).

Page 9: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Molecular Dynamics:

Basic Assumptions:• Atoms interact with each other by empirical

forces. • Their motions governed by Newton's law.

Page 10: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Molecular Dynamics:

Basic Equations: • Forces = bond stretch + angle bending +

torsion angle distortion + hydrogen bonding + van de Waals + electrostatic forces + hydrophobic + other solvent interactions

• Newton's law: Forces = mass x acceleration

(F=ma)

Page 11: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Molecular Dynamics:

• Initial conditions at time t: r(t), v(t-dt/2)

• Atomic trajectory at t+dt: a(t) = F(r(t))/m v(t+dt/2) = v(t-dt/2) + a(t) dt r(t+dt) = r(t) + v(t+dt/2) dt

Page 12: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Simulation of open "back door" in acetylcholinesterase:

Science 263, 1276 (1994)

Why interested in this protein? • Key role in signal control in nervous system. • Target of Chinese natural product (Qian Ceng Ta).

Nature Struct. Biol. 4, 57-62 (1997)

Page 13: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Simulation of open "back door" in acetylcholinesterase:

Science 263, 1276 (1994)

Special features: • Active site is in a deep and narrow gorge. • Strong electrostatic force attracts substrate

into the gorge.

Page 14: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Simulation of open "back door" in acetylcholinesterase:

Science 263, 1276 (1994)

Question: • How can a substrate and water escape from

the active site?

Page 15: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Pathways for Functionally Important Motions

DNA base flipping mechanism:– Enzyme induced?.– Enzyme captures a transiently opened

base?

X-ray crystallogaphy:– Structural information on both end of

pathway.– The intermediate path remains unclear

Curr. Opin. Struct. Biol. 7, 103 (1997) Cell 82, 9 (1995)  

Page 16: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Mechanism of base flipping

Scenario I: Protein induced flipping?   • Major groove blocked by enzyme, minor groove

pathway?

• May explain why flipped base orients towards minor groove. .

Cell 76, 357-369 (1994)

Cell 82, 9-12 (1995)  

Page 17: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Mechanism of base flipping

Scenario II: Enzyme recognises and traps a transiently flipped base?

Structure 2, 79 (1994).  • Base pair life time comparable to methyltransferase reaction time.• All modelling studies consistently show base opens via major

groove, yet to show how minor groove opening is possible.Proc. Natl. Acad. Sci. USA. 85, 7231 (1988)

J. Biomol. Struct. Dyn. 15, 765 (1998)

 

Page 18: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

• Objective:

– Major groove or minor groove pathway? • Enzyme-captured or enzyme-induced flipping?

• Flipping motion and pathway modelling:– Identification of key rotatable bonds whose motions constructive to flipping.– Modelling of collective rotations of all bonds.

• Energy cost of motion.– Energy barrier along pathway computed by standard force fields.

Testing Scenarios by Molecular Modelling

Page 19: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Modelling Strategy

E n erg y b a rrie r a lon g p a th w ayBased on stan d ard en erg y fu n ction s an d force fie ld s

A d ju s tm en t o f b ase o rien ta tionm in im isation of b ase stackin g along p ath way

A lg orith m fo r co llec tive ro ta tiono f b ack b on e b on d s

G eom etric con strain t th at m im icsh elix restorin g forces

K ey ro ta tab le b on d scon s tru c tive to b ase flip p in g

Phys. Rev. E62, 1133-1137 (2000).

Page 20: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Modelling Strategy

Page 21: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Modelling Results on DNA Base Flipping

Page 22: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Energy Barrier for Base Flipping

Phys. Rev. E62, 1133-1137 (2000).

Page 23: BL5203 Molecular Recognition & Interaction  Section D: Molecular Modeling

Maximum Extent of Base Flipping Along Both Grooves

System NDB ID Flipped Dmajor dminor

Base (A) (A)

Hhal Mtase GATAGCGCTATC PDEB08 C18 11.89 4.87HhaI MTase CCATGCGCTGAC PDEB123 C18 12.25 3.23Hhal Mtase GTCAGCGCATGG PD0017 A18 11.37 4.42HeaIII Mtase ACCAGCAGGCCACCAGTG PDEB19 C10 12.01 1.23

B-form CCGGCGGCCGG BDL039 C5 12.13 2.13B-form CGCGAATTCGCG BDL001 A5 14.17 1.47B-form ACCGGCGCACA BDL035 C7 12.18 2.02

Phys. Rev. E62, 1133-1137 (2000).