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Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

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Page 1: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Computational Science and Drug Discovery

McCammon Group, UCSD/HHMI

Page 2: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Molecular Dynamics Simulation

McCammon, Gelin & Karplus, Nature (1977)

Page 3: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Molecular Mechanics

nVkbbkV n cosTorsions

2o

Angles

2o

BondsBond

Pairs Nonbonded

2

Pairs Nonbonded

612 r

eZZC

r

B

r

A ji

Page 4: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Bond & Bond Angle Potential

e.g., propane

Page 5: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Torsional (Dihedral) Potential

e.g., butane

kJ/mol 6 with ,3 33torsion VVV cos

Page 6: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Molecular Mechanics

nVkbbkV n cosTorsions

2o

Angles

2o

BondsBond

Pairs Nonbonded

2

Pairs Nonbonded

612 r

eZZC

r

B

r

A ji

Page 7: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

van der Waals Interactions – short ranged

often represented by the Lennard-Jones formula:

612LJ r

B

r

AV

Page 8: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

E.g. – Liquid Argon

Pairs Nonbonded

612 r

B

r

AV

No bonds, angles, ortorsions, so just have

Page 9: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Electrostatics – long ranged

nm) 0.25(contact in Cl and Nafor kJ/mol560 -e rV

Page 10: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Forces

NV r,,r,r 21

iii

i z

V

y

V

x

VV kjiiF

Page 11: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Energy Minimization: Steepest Descent

(recall, )

Page 12: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Molecular Dynamics Simulation

2

2

d

d

tmm iii

ii

raF

2

2

2

d

d

2

1

d

dt

t

xt

t

xtxttx

2)(2

1)( ttattvtxttx

Page 13: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Molecular Dynamics Simulation

McCammon, Gelin & Karplus, Nature (1977)

Page 14: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

HIV/AIDS

1981: AIDS first described

1983: retrovirus HIV-1 identified

Page 15: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

HIV-1 Enzymes:

Reverse Transcriptase (RNA to DNA)

Integrase (DNA into human genome)

Protease (Makes pieces of new HIV)

Page 16: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Target Flexibility

Page 17: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

HIV-1 Protease

Page 18: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

AIDS Deaths in the US

0

10000

20000

30000

40000

50000

60000

Page 19: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Relaxed Complex Method

Protein “snapshots” from simulation Rapid docking of ligand to snapshots Rescoring for higher accuracy Two-site binders with flexible linkers

Lin, Perryman, Schames & McCammon, J. Amer. Chem. Soc. (2002)

Page 20: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Initial Tests with FKBP-12

Standard MD in water, 2 ns

Page 21: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Fluctuation of Binding Site

Page 22: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

AutoDocking of Ligand

Page 23: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

More Accurate Rescoring

ABo

BA

AB

AB

BA2

ooAB 8

ln VPZZ

ZCRTG

AN,0

AN,A

AA rrr deZ

ZZ WU

Gilson, Given, Bush & McCammon, Biophys. J. (1997)

Page 24: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Bridging Water Molecules

Hamelberg & McCammon, J. Amer. Chem. Soc. (2004)

Page 25: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Copyright ©1999 by the National Academy of Sciences

Goldgur, …& Davies, Proc. Natl. Acad. Sci. USA (1999)

HIV Integrase and 5CITEP

Page 26: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Copyright ©1999 by the National Academy of Sciences

Goldgur, …& Davies, Proc. Natl. Acad. Sci. USA (1999)

5CITEP Contacts Between Asymmetric Units

Page 27: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Initial Relaxed Complex Results

Schames, … & McCammon, J. Med. Chem. (2004)

Page 28: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Butterfly Compounds

Schames, … & McCammon, J. Med. Chem. (2004)

Page 29: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Docked Butterfly Compounds

Schames, … & McCammon, J. Med. Chem. (2004)

Page 30: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Merck & Co. Strategy

Page 31: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

New Class of HIV Drugs: Merck & Co.

“ Exploration of the structural basis for this unexpected result provides insights into this class of antiviral agents and suggests an approach to the development

of integrase inhibitors with unique resistance profiles.” D. Hazuda et al., Proc. Natl. Acad. Sci. USA (Aug. 2004).

Refers to Schames, et al. (2004).

Discovery of unexpected binding site in HIV-1 Integrase using MD and AutoDock: Schames, … & McCammon, J. Med. Chem. (released on web, March 2004)

L-870812  MK-0518

May, 2006 – Phase III Clinical Trials http://clinicaltrials.gov/show/NCT00293254

Page 32: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Metalloenzyme Inhibitors

Puerta, Mongan, Tran, McCammon, & Cohen. J. Amer. Chem. Soc. 127, 14148-14149 (2005).

(e.g., Trypanosoma brucei, T. cruzi)

Page 33: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Supramolecular Targets – The Ribosome

Trylska, J., V. Tozzini, J.A. McCammon. Biophys. J. 89, 1455-1463 (2005).

(e.g., antibiotics)

Page 34: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Structural Design

Page 35: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Acknowledgments

grad. students postdocs senior collabs.*Nathan Baker *Steve Bond *C. Bajaj Jennifer Bui Chia-en Chang Mike Holst Yuhui Cheng Xiaolin Cheng *Robert Konecny David Minh Joachim Dzubiella *Jeremy Kua John Mongan Barry Grant *Jung-Hsin Lin *Alex Perryman Justin Gullingsrud Steve Sine Julie Schames *Donald Hamelberg Susan Taylor*Tongye Shen *Richard Henchman *Valentina Tozzini Jason Smart Richard Law *Joanna Trylska Jessica Swanson Ben-Zhuo Lu *Chung Wong*Kaihsu Tai *Sanjib Senapati *Yingkai Zhang Sylvia Tara *Dave Sept David Zhang

Page 36: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI
Page 37: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

van der Waals – short ranged

kJ/mol1LJ V for atoms in contact nm3.0r

Page 38: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Molecular Mechanics

nVkbbkV n cosTorsions

2o

Angles

2o

BondsBond

Pairs Nonbonded

2

Pairs Nonbonded

612 r

eZZC

r

B

r

A ji

Page 39: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Electrostatic Interactions

represented by Coulomb’s law: r

eZZCV

221

e

mol

kJ140 21

e r

ZZV if r is in nm

Page 40: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

E.g. – Liquid Water

Bonds and angles areusually constrained, so

Pairs Nonbonded

2

Pairs Nonbonded

612 r

eZZC

r

B

r

AV ji

Page 41: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Explicit Solvation

Pairs Nonbonded

2

Pairs Nonbonded

612 r

eZZC

r

B

r

AV ji

Page 42: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Implicit Solvation

Pairs Nonbonded

2

Pairs Nonbonded

612 r

eZZC

r

B

r

AV ji

Page 43: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Ala-Asp-Lys in explicit water

nVkrrkV n cosTorsions

2o

Angles

2o

BondsBond

Pairs Nonbonded

2

Pairs Nonbonded

612 r

eZZC

r

B

r

A ji

Page 44: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Ala-Asp-Lys in implicit water

nVkrrkV n cosTorsions

2o

Angles

2o

BondsBond

Pairs Nonbonded

2

Pairs Nonbonded

612 r

eZZC

r

B

r

A ji

Page 45: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

“Rugged” Energy Landscape

Page 46: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

4-hydroxy-2-butanone and FKBP-12

Swanson, Henchman & McCammon, Biophys. J. 86, 67-74 (2004).

Page 47: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

External Contributions

kJ/mol 17otrans G

kJ/mol 6orot G

Swanson, Henchman & McCammon, Biophys. J. 86, 67-74 (2004).

Cf. upper bound of about 80 kJ/mol (Jencks)

Page 48: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Approximations

Swanson, Henchman & McCammon, Biophys. J. 86, 67-74 (2004).

2 ln

8

trans rotB B AB

ABA B

C z z ZG RT

Z Z

2 ln

8

trans rotB B

AB AB A BC z z

G RT E E E

Page 49: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

)()( xuxε )(1

oi

ii xxeδZ

)()()( 2 xuxκx

Poisson-Boltzmann equation (linearized)

IRTo

2 2

Page 50: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Linearized Poisson-Boltzmann equation also useful:

i

iic xxδz

kT

πexuxκxuxε )(

4)()()()(

22

)()( xuxε )(sinh)(2 xuxκ )(π4 2

ii

ic xxδz

kT

e )(sinh)(2 xuxκ )(

π4 2

ii

ic xxδz

kT

e

Poisson-Boltzmann equation: strong form

xxxgxu )()(

)()( xuxε

Page 51: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Merck & Co.

“Although both the biochemical and antiviral activities ofL-870,810 are analogous to the diketo acids, we provide evidence that these inhibitors exhibit discordant sensitivity to resistance mutations. Exploration of the structural basis for this unexpected result provides insights into this class of antiviral agents and suggests an approach to the development of integrase inhibitors with unique resistance profiles.”

D. Hazuda et al., Proc. Natl. Acad. Sci. USA 101, 11233 (2004).

Page 52: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Accelerated MD

EVVV

EVVV

(r)(r),(r)

(r)(r),(r)

(r))(

(r)(r)

2

VE

VEV

Hamelberg, Mongan & McCammon, J. Chem. Phys 120, 11919-11929 (2004)

Page 53: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Accelerated MD: Effect of V

(x)

V(x

)

x

α =1α= 50α= 100

Page 54: Computational Science and Drug Discovery McCammon Group, UCSD/HHMI

Activation of Protein Kinase A

Gullingsrud, J., C. Kim, S.S. Taylor, J.A. McCammon.Dynamic binding of PKA regulatory subunit RI. Structure, 14, 141-149 (2006).