computer aided molecular design a strategy for meeting the challenges we face

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Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

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Page 1: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Computer Aided Molecular Design

A Strategy for Meeting the Challenges We Face

Page 2: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

An Organized Guide

Build Chemical Insight Discover new molecules Predict their properties

Page 3: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Working at the Intersection

Structural Biology Biochemistry Medicinal Chemistry Toxicology Pharmacology Biophysical Chemistry Information Technology

Page 4: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Structural Biology

Fastest growing area of biology

Protein and nucleic acid structure and function

How proteins control living processes

Page 5: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Medicinal Chemistry

Organic Chemistry Applied to disease Example: design new

enzyme inhibitor drugs

– doxorubicin (anti-

cancer)

Page 6: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Pharmacology

Biochemistry of Human Disease

Different from Pharmacy: distribution of pharmaceuticals, drug delivery systems

Page 7: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

New Ideas From Nature

Natural Products Chemistry

Chemical Ecology» During the next two

decades: the major activity in organismal biology

Examples: penicillin, taxol (anti-cancer)

Page 8: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Working at the Intersection

Structural Biology Biochemistry Medicinal Chemistry Toxicology Pharmacology Biophysical Chemistry Information Technology

Page 9: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Principles

Structure-Function Relationships Binding

» Step 1: Biochemical Mechanism» Step 2: Understand and control

macromolecular binding

Page 10: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Binding

Binding interactions are how nature controls processes in living cells

Enzyme-substrate binding leads to catalysis

Protein-nucleic acid binding controls protein synthesis

Page 11: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Principles

Structure-Function Relationships Binding

» Understand and control binding ->disease Molecular Recognition

» How do enzymes recognize and bind the proper substrates

Guest-Host Chemistry» Molecular Recognition in Cyclodextrins

Page 12: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Molecular RecognitionHydrogen bonding

•Charge-charge interactions (salt bridges)

•Dipole-dipole –interactions (aromatic)• Hydrophobic (like dissolves like)

H

Page 13: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Hosts: cyclodextrinO

HO

O

OH

OH

O

HO

O

HO

OH

O

HO

OHO

OH

O

HOO HO

OH

O HO

O

HO

HO

O

HO

O

OH

HO

O

HO

OOH

HO

Page 14: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Hexasulfo-calix[6]arenes

O

H

O

H

O

H

O

H

O

H

O

H

S

S

S

S

S

S

O

O

O

O

O

O

O

O

O

O

O

O

O

O

O

O

O

O

Page 15: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Molecular Design

Originated in Drug Design Agricultural, Veterinary, Human Health Guest - Host Chemistry Ligands for Inorganic Complexes Materials Science

» Polymer Chemistry» Supramolecular Chemistry» Semi-conductors, nonlinear phenomena

Page 16: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Information Technology

Chemical Abstracts Service registered over one million new compounds last year

Expected to increase every year Need to know the properties of all

known compounds:» pharmaceutical lead compounds» environmental behavior

Page 17: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Information Technology

Store and Retrieve Molecular Structures and Properties Efficient Retrieval Critical Step Multi-million $ industry Pharmaceutical Industry

» $830 million to bring a new drug to market» Need to find accurate information» Shorten time to market, minimize mistakes

Page 18: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

CAMD

Computational techniques to guide chemical intuition

Design new hosts or guests» Enzyme inhibitors» Clinical analytical reagents» Catalysts

Page 19: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

CAMD Steps

Determine Structure of Guest or Host Build a model of binding site Search databases for new guests (or

hosts) Dock new guests and binding sites Predict binding constants or activity Synthesize guests or hosts

Page 20: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Structure Searches

2D Substructure searches 3D Substructure searches 3D Conformationally flexible searches

» cfs

Page 21: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

2D Substructure Searches

Functional groups Connectivity

» Halogen substituted aromatic and a carboxyl group

[

F

,

C

l

,

B

r

,

I

]

O

O

Page 22: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

2D Substructure Searches

Query:» Halogen substituted

aromatic and a carboxyl group

N

O

O

Cl

O

O

Cl

N

N

N

O

O

F

F

O

F

O

O

N

I

O

N

Page 23: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

3D Substructure Searches

Spatial Relationships

Define ranges for distances and angles

Stored conformation» usually lowest energy

C

(

u

)

O

(

s

1

)

O

(

s

1

)

A

A

[

O

,

S

]

O

3.6 - 4.6 Å

3.3 - 4.3 Å

6.8 - 7.8 Å

Page 24: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Conformationally Flexible Searches

Rotate around all freely rotatable bonds

Many conformations Low energy penalty Get many more hits Guests adapt to

hosts and Hosts adapt to guests

O

Cl

H

O

Cl

H

3.2Å

4.3Å

Page 25: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Conformationally Flexible Searches

O

Cl

H

O

Cl

H

3.2Å

4.3Å

3603002401801206000

1

2

3

4

5

6

Dihedral angle

Ste

ric

Energ

y (

kca

l/m

ol)

Small energy penalty

Page 26: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Angiotensin Converting Enzyme

Zn containing protease Converts Angiotensin I Asp-Arg-Val-Tyr-Ile-His-Pro-Phe-His-Leu -> Angiotensin II

» Raises blood pressure» Vascular constriction» Restricts flow to kidneys» Diminishing fluid loss

NN

ClO

N N

N N

Losartan

Page 27: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Computer Aided Molecular Design

Quantitative Structure Activity Relationships- QSAR

Quantitative Structure Property Relationships- QSPR

Page 28: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Introduction

Uncover important factors in chemical reactivity

Based on Hammett Relationships in Organic Chemistry

Medicinal Chemistry Guest-Host Chemistry Environmental Chemistry

Page 29: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

CAMD

Determine Structure of Guest or Host Build a model of binding site Search databases for new guests (or hosts) Dock new guests and binding sites Predict binding constants or activity Synthesize guests or hosts

Page 30: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Outline

Hammett Relationships log P : Octanol-water partition coefficients

» uses in Pharmaceutical Chemistry» uses in Environmental Chemistry» uses in Chromatography

Other Descriptors Multivariate Least Squares Nicotinic Agonists - Neurobiology

Page 31: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Acetylcholine Esterase

Neurotransmitter recycling

Design drug that acts like nicotine

Page 32: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Acetylcholine Esterase

RCSB Protein Data Bank (PDB)

Human disease- molecular biology databases» SWISS-PROT» OMIM» GenBank» MEDLINE

Page 33: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Acetylcholine Esterase

CH3 N

CH3

CH3

CH2CH2O C

O

CH3CH3 N

CH3

CH3

CH2CH2OH

O C

O

CH3 H+

OH2

+ ++

+ +

N

N+

H

Nicotine

Page 34: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Hammett Relationships

pKa of benzoic acids Effect of electron withdrawing and

donating groups based on rG = - RT ln Keq

Page 35: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

pKa Substituted Benzoic Acids

log Ka - log KaH = K aH is the reference compound-

unsubstituted

-0.8

-0.6

-0.4-0.2

0

0.2

0.40.6

0.8

1

-1 -0.5 0 0.5 1

sigma

log Ka

O

O

H

R1

Page 36: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Hammett Constants

Group p m

-NH 2 -0.57 -0.09-OH -0.38 0.13-OCH3 -0.28 0.10-CH3 -0.14 -0.06-H 0 0-F 0.15 0.34-Cl 0.24 0.37-COOH 0.44 0.35-CN 0.70 0.62-NO2 0.81 0.71

Page 37: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Sigma-rho plots

One application of QSPR Activity = + constant Y = mx + b descriptor : slope

Page 38: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Growth Inhibition for Hamster Ovary Cancer Cells

N

(CH2CH2Cl)2R

y = -2.5 - 0.21

R2 = 0.97

-2.5

-2

-1.5

-1

-0.5

0

0.5

1

1.5

-1 -0.5 0 0.5 1

log(1

/IC

50)

-NO2

-NH3+

Page 39: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Octanol-Water Partition Coefficients

P = C(octanol)

C(water) log P

like rG = - RT ln Keq

Hydrophobic - hydrophilic character

P increases then more hydrophobic

Octanol

H O2

Page 40: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

QSAR and log P Isonarcotic Activity of Esters, Alcohols, Ketones,

and Ethers with Tadpoles

Compound log(1/C) log PCH3OH 0.30 -1.27C2H5OH 0.50 -0.75CH3COCH3 0.65 -0.73(CH3)2CHOH 0.90 -0.36(CH3)3COH 0.90 0.07CH3CH2CH2OH 1.00 -0.23CH3COOCH3 1.10 -0.38C2H5COCH3 1.10 -0.27HCOOC2H5 1.20 -0.38C2H5COC2H5 1.20 0.59(CH3)2C(C2H5)OH 1.20 0.59CH3(CH2)3OH 1.40 0.29(CH3)2CHCH2OH 1.40 0.16CH3COOC2H5 1.50 0.14C2H5COC2H5 1.50 0.31CH3(CH2)4OH 1.60 0.81CH3CH2CH2COCH3 1.70 0.31CH3COOCH2C2H5 2.00 0.66C2H5COOC2H5 2.00 0.66(CH3)2CHCOOC2H5 2.20 1.05

Page 41: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

QSAR and log P Isonarcotic Activity of Esters, Alcohols, Ketones,

and Ethers with Tadpoles

y = 0.7315x + 1.2211

R2 = 0.7767

0

0.5

1

1.5

2

2.5

-2 -1 0 1 2log P

log

(1/C

) R = 0.881n = 20

Page 42: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Isonarcotic Activity of Esters, Alcohols, Ketones, and Ethers with

Tadpoles

log(1/C) = 0.869 log P + 1.242– n = 28 r = 0.965

subset of alcohols:

log(1/C) = 1.49 log P - 0.10 (log P)2 + 0.50n = 10 r = 0.995

Page 43: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

log Plog P

hydrophillic

hydrophobic

ethanol -.75

pentanol 0.81

isopropanol -0.36n-propanol -0.23

benzene 2.13

methanol -1.27

tetraethylammonium iodide -2.82

phenylalanine -1.38

alanine -2.85

pyridine 0.64

imidazole -0.08

diethylamine 0.45

butylamine 0.85

Page 44: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Estimating log P

M (aq) –> M (octanol) PG = -RT ln P

M (aq) –> M (g) desolG(aq)

M (octanol) –> M (g) desolG(octanol)

PG = desolG(aq) – desolG(octanol)

PG = Fh2o - Foct log P = – (1/2.303RT) Fh2o - Foct

» 1/2.303RT = – 0.735

Page 45: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Solvent-Solute Interaction

desolG(aq) = Fh2o

» Free Energy of desolvation in waterdesolG(aq) = -RT ln KHenry’s

desolG(octanol) = Foct

» Free Energy of desolvation in octanol

Page 46: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Descriptors

Molar Volume, Vm Surface area Rotatable Bonds, Rotbonds, b_rotN Atomic Polarizability, Apol

» Ease of distortion of electron clouds» sum of Van der Waals A coefficients

Molecular Refractivity, MR» size and polarizability» local non-lipophilic interactions

Page 47: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Atomic Polarizability, Apol

Atomic Polarizability» Ease of distortion of electron clouds» sum of Van der Waals A coefficients

EVdW,ij = - Arij6 +

Brij

12

Page 48: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Molecular Refractivity, MR

Molecular Refractivity, MR» size and polarizability» local non-lipophilic interactions

Lorentz-Lorentz equation:

MR = (n2 - 1)(n2 + 2)

MW

d

Page 49: Computer Aided Molecular Design A Strategy for Meeting the Challenges We Face

Group Additive Properties, GAPs

Substituent Volume (SA) MR Rot Bonds

-H 1.48 0.10 0 (reference) 0

-CH3 18.78 0.57 0.56 0

-CH2CH3 35.35 1.03 1.02 1

-CH2CH2CH3 51.99 1.5 1.55 2

-CH(CH3)2 51.33 1.5 1.53 1

-CH2CH2CH2CH3 68.63 1.96 2.13 3

-C(CH3)3 86.99 1.96 1.98 1

-C6H5 72.20 2.54 1.96 1 -F 7.05 0.10 0.14 0

-Cl 15.85 0.60 0.71 0