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CONFIDENTIAL RESEARCH Points to Consider When Interpreting SPR Data: An Insider’s Perspective Joe Papalia, Gilead Sciences

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Page 1: Points to Consider When Interpreting SPR Data: An Insider ...RESEARCH CONFIDENTIAL Points to Consider When Interpreting SPR Data: An Insider’s Perspective . Joe Papalia, Gilead Sciences

CONFIDENTIALRESEARCH

Points to Consider When Interpreting SPR Data: An

Insider’s Perspective

Joe Papalia, Gilead Sciences

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• The basics of the SPR response

Overview

• How do we describe avidity?

• What is mass transport?

• How reproducible is binding data?

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CONFIDENTIALRESEARCH

Biosensors: The Basics

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Biosensors: The Basics

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Flow Flow

Biosensors: The Basics

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FlowFlow

Biosensors: The Basics

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Flow Flow

Ligand

Biosensors: The Basics

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Flow Flow

LigandAnalyte

Biosensors: The Basics

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Flow Flow

LigandAnalyte

θ

Biosensors: The Basics

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Flow

θ

LigandAnalyte

Flow

Biosensors: The Basics

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Association, kon, koff

Processed Data:Sensorgrams

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Equilibrium/Steady State

Processed Data:Sensorgrams

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Dissociation, koff

Processed Data:Sensorgrams

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Processed Data:Sensorgrams

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Concentration

Processed Data:Sensorgrams

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Global Fitting

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Global Fitting

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Global Fitting

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Global Fitting

“Simple kinetic model”

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Global Fitting

a) one kon

b) one koff

c) one Rmax

“Simple kinetic model”

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Dose Response

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Dose Response

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Dose Response

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Dose Response

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Dose Response

KD, Rmax

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• How do we describe avidity?

Overview

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Experimental DesignAvidity

Not that straightforward to interpret

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ΔG°FabΔG°Fab

Single-Site BindingExperimental Design

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Anti-Fc

ΔG°FabΔG°Fab

Experimental DesignSingle-Site Binding

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Anti-Fc

ΔG°FabΔG°Fab

Experimental DesignSingle-Site Binding

a) one kon

b) one koff

c) one Rmax

“Simple kinetic model”

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Experimental Design

a) 2 kon’s

b) 2 koff’s

c) one Rmax

Not a “Simple kinetic model”

Avidity

Avoid this if you can

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• What is mass transport?

Overview

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Mass Transport

When ligand (surface) demand > analyte supply

A Description

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Flow Flow

LigandAnalyte

Biosensors: The Basics

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Under MTL…

Mass Transport

Some Math

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•J Biol Chem 2015 Mar 27;290(13):8439-46

Mass Transport: Idelalisb Binding

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Mass Transport Limited KineticsCompound “B” binding to PI3Kδ

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Actual KineticsCompound “B” binding to PI3Kδ

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Sometimes difficult to ascribe a unique exponential to such

linear data

Actual Kinetics

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• How reproducible is biosensor data?

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Experimental Error

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Benchmark Study

Limit of off-rate detection

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•a

•b

•c

•d

•e

•f

•g

•h

•a

•b

•c

•d

•e

•f

•g

•h

User

1

2

3

4

5

6

7

8

When data are good

Benchmark Study

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When data are not so good

Benchmark Study

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Benchmark Study

CV-kon = 15% CV-koff = 13% CV-KD = 18%

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Summary• The basics of the SPR response

• Avidity can be difficult to deal with

• MT; ligand demand > analyte supply

• Good CV’s; but understand limitations

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Back-Ups

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Flow •FlowFlow

The Bulk Response

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Flow •FlowFlow

The Bulk Response

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Flow •FlowFlow

The Bulk Response

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Flow •FlowFlow

Bulk And Binding Responses

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Flow •FlowFlow

Bulk And Binding Responses

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Flow •FlowFlow

Binding

Bulk And Binding Responses

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Experimental DesignImmobilize Antigen or ‘Antigen Down’

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Experimental DesignFirst Step: Single Site Binding

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Experimental DesignAvidity

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Experimental DesignAvidity

Adapted from W.P. Jencks (1981) , PNAS Vol. 78, No.7, pp 4046-4050 *

ΔG° = + + = RTln(KD-Overall)Overall ΔGiFab ΔGi

Fab* ΔGs

ΔG° = + + + (i-1) + + - RTln(Ωi / Ωo)N iΔH°affinity ** (i) i TΔS°

affinity ΔH°trans+rotTΔS°(i-1) linker (i-1)TΔS°

conf ΔG°coop

From V.M. Krishnamurthy et al. from “Multivalency in Drug Design” in Fragment-based Approaches in Drug Discovery **

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Experimental DesignAvidity

*

ΔG° = + + = RTln(KD-Overall)Overall ΔGiFab ΔGi

Fab* ΔGs

ΔG° = + + + (i-1) + + - RTln(Ωi / Ωo)N iΔH°affinity ** (i) i TΔS°

affinity ΔH°trans+rotTΔS°(i-1) linker (i-1)TΔS°

conf ΔG°coop

From V.M. Krishnamurthy et al. from “Multivalency in Drug Design” in Fragment-based Approaches in Drug Discovery **Adapted from W.P. Jencks (1981) , PNAS Vol. 78, No.7, pp 4046-4050

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Experimental DesignAvidity

*

ΔG° = + + = RTln(KD-Overall)Overall ΔGiFab ΔGi

Fab* ΔGs

ΔG° = + + + (i-1) + + - RTln(Ωi / Ωo)N iΔH°affinity ** (i) i TΔS°

affinity ΔH°trans+rotTΔS°(i-1) linker (i-1)TΔS°

conf ΔG°coop

From V.M. Krishnamurthy et al. from “Multivalency in Drug Design” in Fragment-based Approaches in Drug Discovery **Adapted from W.P. Jencks (1981) , PNAS Vol. 78, No.7, pp 4046-4050

Try to avoid this

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Wortmannin: Irreversible T100 Data

Idelalisb Binding to PI3Kδ

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Idelalisib

kon = 5.1 x 106 M-1s-1

koff = 5.8 x 10-3 s-1

KD = 1.1 nM

Wortmannin: Irreversible T100 Data

Idelalisb Binding to PI3Kδ

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Idelalisib

Wortmannin: Irreversible T100 Data

Idelalisb Binding to PI3Kδ

kon = 5.1 x 106 M-1s-1

koff = 5.8 x 10-3 s-1

KD = 1.1 nM

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Correlation Matrix & kon x Rmax / kt

kon* Rmax / kt ≤ 5

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Cmpd “B” Binding to PI3Kδ

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Target

1

5

6 74

32 8 9

10

compound KI (µM) potency1 50 very low2 10 medium3 4 low4 2 medium5 1 high6 1 low7 1 low8 1 low9 0.05 high10 0.05 high

Benchmark Study

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•4-(aminomethyl) benzene • sulfonamide

•sulpiride

•a

•b

•c

•d

•e

•f

•g

•h

User

1

2

3

4

5

6

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sulpiride

Benchmark Study

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4-carboxy benzene sulfonamide

Benchmark Study

User

1

2

3

4

5

6

7

8

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Benchmark Study

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acetozoalmide

Benchmark Study

User

1

2

3

4

5

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7

8

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7-fluoro-2,1,3-benzoxadiazole-4-sulfonamide

Benchmark Study

User

1

2

3

4

5

6

7

8

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Benchmark Study

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Experimental DesignAvidity

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Experimental Error