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Partition coefficients and drug discovery (on tour in rural Wisconsin) Peter W Kenny http://fbdd-lit.blogspot.com | http://www.slideshare.net/pwkenny

partition coefficients in drug discovery

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Page 1: partition coefficients in drug discovery

Partition coefficients and drug discovery

(on tour in rural Wisconsin)

Peter W Kenny http://fbdd-lit.blogspot.com | http://www.slideshare.net/pwkenny

Page 2: partition coefficients in drug discovery

Molecular Design

• Control of behavior of compounds and materials by

manipulation of molecular properties

• Hypothesis-driven or prediction-driven

• Sampling of chemical space

– For example, does fragment-based screening allow better

control of sampling resolution?

Kenny, Montanari, Propopczyk, Sala, Sartori (2013) JCAMD 27:655-664 DOI

Kenny JCIM 2009 49:1234-1244 DOI

Page 3: partition coefficients in drug discovery

Molecular interactions and drug action

Page 4: partition coefficients in drug discovery

In tissues

Free in

plasma

Bound to

plasma

protein

Dose of drug

Eliminated drug

What happens to drugs after dosing

Page 5: partition coefficients in drug discovery

Partition coefficients in drug discovery

• Octanol/water is default partitioning system• Model for cell membrane (permeability)• Generic measure of (aqueous) desolvation for

modelling actiivity, solubility…

Page 6: partition coefficients in drug discovery

Lipophilic & half ionised Hydrophilic & neutral

Introduction to partition coefficients

Page 7: partition coefficients in drug discovery

Does octanol/water ‘see’ hydrogen bond donors?

--0.06 -0.23 -0.24

--1.01 -0.66--1.05

Kenny & Montanari (2013) JCAMD 27:1-13 DOI

Page 8: partition coefficients in drug discovery

Octanol/Water Alkane/Water

Octanol/water is not the only partitioning system

Page 9: partition coefficients in drug discovery

logPoct = 2.1

logPalk = 1.9

DlogP = 0.2

logPoct = 1.5

logPalk = -0.8

DlogP = 2.3

logPoct = 2.5

logPalk = -1.8

DlogP = 4.3

Differences (ΔlogP) in octanol/water and alkane/water logP values reflect hydrogen bonding between solute and octanol

Toulmin et al (2008) J Med Chem 51:3720-3730 DOI

Page 10: partition coefficients in drug discovery

-0.054

-0.086-0.091

-0.072

-0.104 -0.093

Connection between lipophilicity and hydrogen bonding

Toulmin et al (2008) J Med Chem 51:3720-3730 DOI

DlogP = 0.5

DlogP = 1.3Minimized electrostatic potential (Vmin) values (atomic units) are predictive of hydrogen bond basicity

Page 11: partition coefficients in drug discovery

logPoct = 0.97

logPalk = 1.48

logPoct = 2.17

logPalk = −0.31

logPoct = 2.23

logPalk = 0.97

logPoct = 2.42

logPalk = 0.26

logPoct = 1.66

logPalk = 1.38

logPoct = 1.35

logPalk = 2.29

logP as probe of steric and conformational effects

Dearden & Bresnen (2005) Int J Mol Sci 6:119-129 DOI

Page 12: partition coefficients in drug discovery

1.0 1.1 0.8 1.3 1.7

0.8 1.5

What do these measured values of DlogP tell us?

Toulmin et al, J. Med. Chem. 2008, 51, 3720-3730

1.6 1.1

Page 13: partition coefficients in drug discovery

Basis for ClogPalk model

logP

alk

MSA/Å2

Kenny, Montanari & Propopczyk et al (2013) JCAMD 27:389-402 DOIKenny, Montanari & Propopczyk et al (2013) JCAMD 27:389-402 DOI

Page 14: partition coefficients in drug discovery

𝐶𝑙𝑜𝑔𝑃𝑎𝑙𝑘 = 𝑙𝑜𝑔𝑃0 + 𝑠 ×𝑀𝑆𝐴 −

𝑖

∆𝑙𝑜𝑔𝑃𝐹𝐺,𝑖 −

𝑗

∆𝑙𝑜𝑔𝑃𝐼𝑛𝑡,𝑗

ClogPalk from perturbation of saturated hydrocarbon

logPalk predicted

for saturated

hydrocarbon

Perturbation by

functional groups

Perturbation by

interactions

between

functional groups

Kenny, Montanari & Propopczyk et al (2013) JCAMD 27:389-402 DOI

Page 15: partition coefficients in drug discovery

Structural relationships between compounds as a framework for molecular design

Page 16: partition coefficients in drug discovery

Examples of structural relationships between compounds

Tanimoto coefficient (foyfi) for structures is 0.90

Ester is methylated acid Amides are ‘reversed’

Page 17: partition coefficients in drug discovery

Hypothesis-driven molecular design and relationships between structures as framework for analysing activity and properties

?

Date of Analysis N DlogFu SE SD %increase

2003 7 -0.64 0.09 0.23 0

2008 12 -0.60 0.06 0.20 0

Mining PPB database for carboxylate/tetrazole pairs suggested that bioisosteric replacement wouldlead to decrease in Fu . Tetrazoles were not synthesised even though their logP values are expected tobe 0.3 to 0.4 units lower than for corresponding carboxylic acids.

Birch et al (2009) BMCL19:850-853 DOI

Page 18: partition coefficients in drug discovery

Amide N DlogS SE SD %Increase

Acyclic (aliphatic amine) 109 0.59 0.07 0.71 76

Cyclic 9 0.18 0.15 0.47 44

Benzanilides 9 1.49 0.25 0.76 100

Effect of amide N-methylation on aqueous solubility is dependent on substructural context

Birch et al (2009) BMCL 19:850-853 DOI

Page 19: partition coefficients in drug discovery

Structural relationships between compounds

Discover new

bioisosteres &

scaffolds

Prediction of activity &

properties

Recognise

extreme data

Direct

prediction

(e.g. look up

substituent

effects)

Indirect

prediction

(e.g. apply

correction to

existing model)

Bad

measurement

or interesting

effect?

Page 20: partition coefficients in drug discovery

• Partition coefficients are not quite as boring as you

thought that they were

• There is life beyond octanol/water (and atom-

centered charges) if we choose to look for it

• Even molecules can have meaningful relationships

Stuff to think about