SlideShare a Scribd company logo
(Gr)affinity® begets affinity

– a new era in downstream processing begins
Dr. Frank MOFFATT

Director of Business Development
Dec 2013

fm@novalix-pharma.com
Graffinity clients

2
The boundaries of affinity chromatography

Capacity

Re-use

Yield
Protein A affinity
Ion exchange

Stability

Selectivity

3
Moving the boundaries of affinity chromatography

Capacity

Re-use

Yield

Protein A affinity
Graffinity®
Ion exchange

Stability

Selectivity

4
Shrink the ligand - Shrink the cost

Capacity

Cost

Yield

?

Protein A affinity
Graffinity®
Ion exchange

Re-use

Selectivity

Stability

5
Phases of innovation

Target
Discovery

Development

Commercial supply & use
6
Milestones

Discovery

• Selection of
2-5
development
candidates

Development

• Selection of
ligand/system for
commercialization

Commercial

• Commercial
agreements
& final
optimization
& use

7
(Gr)affinity® begets affinity

Target
protein

Affinity LC
media

Design

SPR
screening
& imaging

Binders

1. Analog synthesis
2. Linking to support
3. Chromatographic
performance
Test

Make

8
Graffinty micro-arrays

Microstructuring

SAM Formation

Covalently bound
ligands

Spotting nL
Customized pin-tool spotter

Pin tool

nL drops

9
Affinity starts with SPR imaging

116,000 structurally diverse compounds

- reproducibly
Experiment 2

SPR signal strength, nm

SPR imaging finds binders

Experiment 1
SPR signal strength, nm

10
Chromatographic evaluation

•

Protein A Sepharose Fast Flow (GE Healthcare)

•

Immobilization to NHS-activated Sepharose 4FF

•
•
•
•

Use of aminopropyl spacer
Amide linkage between resin & ligand
Average density of 12 - 15 µmol per mL of medium
Tested in 384 MTP format 30 µL per bed volume

O

O

O
O

+

N
O

H2 N

LIGAND
LIGAND

N
H

11
Discovery

Graffinity
screening

Selection from a non-biased library of 116,000 ligands
designed to bind to proteins (typically) delivers > 50 binders

Data
evaluation

Selection of 20-40 binders for re-synthesis
& linking to support media

Chromatographic
testing

Verification of chromatographic
performance (% binding/ % purity/
selectivity versus HCP)

Data
evaluation

Selection of
2-5 development
candidates
12
DISCOVERY LEVEL DATA

Project 1
Universal Fab binder

13
Graffinity® screening

>116,000 compounds

≈150 compounds

•
•
•
•

Graffinity® SPR screening library
MW 150-600
Structurally diverse
4 full length antibodies

Select for affinity
(+) positive binding ≥ 3 antibodies

14
Graffinity® selectivity

≈150 compounds

≈ 60 compounds

(+) positive binders

Select for specificity
NO binding to:
(-) HCP
(-) Fc only domain protein

15
Graffinity® selection

≈60 compounds

≈30 compounds

No binding to:
(-) HCP & Fc only domain protein
Select for chrom. performance evaluation
 Mainly neutral structures
but max. 1 positive charge
 Groups of common substructure
facilitates rapid SAR evolution

16
Graffinity® specific Fab binders

(+) IgG 1
(+) IgG 2
(+) IgG 3
(+) IgG 4
(-) HCP
(-) Fc only

17
Graffinity® universal Fab binders

Conclusions




SPR screening identified universal Fab binders ✔
Primary hits identified ✔
>30 ligands selected for resynthesis & characterization ✔

Next





More resynthesis
More LC testing
Synthesis & testing of analogues
IP protection

18
DISCOVERY LEVEL DATA

Project 2
HCP binder for
polishing or reverse purification

19
Verification of chromatographic performance

Binding of HCP & MAbs versus pH
✔
✔
✔

Graffinity® SPR screening
Ligand selection
Resynthesis

LC set-up
Immobilization of ligands on Sepharose 4 FF
30 µL packed columns in 384 well MTPs

Experiment
Binding of MAbs & HCP to resins at pH 4.0 to 7.3

20
Binding of HCP & MAbs versus pH
Toc

Ab_151

Bevac

HCP

Binding [%]

100

Proteins

50
0
7.3

6.2 pH

5.1

4.0

•
•
•

tocilizumab
Bevacizumab
CHO cell HCP

Ligands
Ab_157

Toc

Bevac

HCP

Binding [%]

100

•
•

Ab_151
Ab_157

50
0
7.3

6.2 pH

5.1

4.0

21
Graffinity HCP binders - first conclusions

Binding depends upon
•
•
•

pH
Ab
Ligand

Ab_151 is the best performing un-optimized screening hit
•
•

High HCP binding across pH range
Low MAb at lower pH <6

22
Purification of tocilizumab
Experiment
•
•
•
•
•

Ligand Ab_151
Chromatography on 30 µL columns packed in MTPs
Reverse purification of tocilizumab from HCP @ pH 6.0
Initital IgG purity 50 % (protein level)
SDS-PAGE with silver staining of input & flow-through

23
HCP & MAb (tocilizumab)

Input

Flow-through
@ pH 6.0
24
HCP & MAb (tocilizumab) next steps

Potential applications
•
•

Reverse purification
Polishing

Next?
•
•
•

More resynthesis & testing
Synthesis & testing of analogues
More Abs & HCPs

25
Development

Ligand
optimization

Analogue
synthesis, support/linker
exploration
& chromatography
Data
evaluation

Selection of 2-4 lead ligands

Media
optimization
Tech transfer to
CMO or licensee

Variation of chemistry of
spacer & support

Data
evaluation

Selection of
ligand/system for
commercialization
26
DEVELOPMENT LEVEL DATA

Project 3
Specific bevacizumab binder

27
Graffinity® screen for bevacizumab

Ligand Ab_12

Ligand Ab_10

Bevacizumab
Specific
hit series
Anti RhD

Tocilizumab

BSA

HCP
Relative SPR signal strength

28
Chromatographic performance

Efficient binding & high selectivity

29
Bevacizumab Fab specificity

30
Graffinity bevacizumab binder
Capacity
Adsorption Isotherm : Ab_12
Coverage [mg/mL]

Ab_07
Ab_10
Ab_12
Protein A

qm [mg/mL gel]

Affinity
[mg/mL]

Ab_07
Ab_10

✔ High affinity
✔ High capacity

Ab_12
Protein A

Kd [mg/mL]

31
Relative concentration

Graffinity bevacizumab binder

Ab_10

Speed of binding
t [min]
Protein A
Ab_07
Ab_10
Ab_12

t 0.8 min

32
Moderate alkaline stability

Relative concentration

Half-life Ab_07

Ab_07
t 0.5 h

Ab_10
Ab_12
MS SuRe

t 0.5 h

33
Dynamic binding capacity

c/c0

Breakthrough

Dynamic binding capacity
q0.1/ mg (ml gel) -1

Antibody loaded [mg/mL gel]

34
Preparative chromatography

Ab_10

Eluate

HC
LC

35
Graffinity® bevacizumab binders

Ab_10

Ab_130

Protein A

MW [g/mol]

348

328

35 kDa

Binding IgG [%]

100

100

100

Binding HCP [%]

8

3

2

Yield [%]

96

98

96

Purity [%]

96

84

100

DBC [mg/mL]

36

37

28

Kd [mg/mL]

0.072

0.079

0.005

qm [mg/mL]

63

68

39

t0.8 [min]

5.8

5.3

9.5

t0.5 (0.1 M NaOH) [h]

130

516

-

t0.5 (0.5 M NaOH) [h]

11

60

-

36
Graffinity® bevacizumab binder

Status
✔ Specific binders to bevacizumab
✔ The structural key features identified

✔ High static & dynamic capacity

Next?
•

Next generation developments – e.g. purification of Lucentis

37
DEVELOPMENT LEVEL DATA

Project 4
Fc binder / protein A replacement

38
Graffinity® Fc binders

Ab_04

39
Specific IgG ligands

Protein

Ab_04
(%)

Ab_182
(%)

Ab_254
(%)

Ab_314
(%)

Ab_337
(%)

Ab_352
(%)

Protein A
(%)

Bevacizumab
(IgG1)

100

100

100

100

100

100

100

Palivizumab
(IgG1)

100

92

100

100

100

100

100

Tocilizumab
(IgG1)

100

99

100

100

100

100

100

Cetuximab (IgG1)

100

100

100

100

100

100

100

Denosumab
(IgG2)

100

86

100

98

100

100

100

hu IgG3 fraction

33

16

63

34

56

48

6

hu IgG4 fraction

n.d.

n.d.

100

100

100

98

99

hu total IgG
fraction

100

94

95

100

100

100

95

HCP binding

30

24

18

12

7

2

2

40
High affinity & capacity
Affinity

Adsorption isotherm
Coverage q / mg mg-1

Ab_04
Ab_182
Ab_254
Ab_314

Ab_337
Ab_352

Protein A

Capacity
Kd [mg/mL]
Equilibrium concentration

✔ High affinity
✔ High capacity

qm [mg/mL gel]

41
Relative concentration

Favorable adsorption kinetics

Speed of binding

Time min

Ab_04
Ab_182
Ab_254
Ab_314
Ab_337
Ab_352
Protein A

t 0.8 / min

42
Relative concentration

High alkaline stability

Ab_04
Time t / h

Half-life

Ab_182
Ab_254
Ab_314
Ab_337
Ab_352
Ms SuRe

t 0.5 h

43
Dynamic binding capacity

Breakthrough curves
0.4
Protein A
Ab_04
Ab_182
Ab_352
Ab_254
Ab_314
Ab_337

c/c0

0.3
0.2
0.1

Dynamic binding capacity
0
0

10

20

30

Antibody loaded [mg/mL gel]

40

Ab_04
Ab_182
Ab_254
Ab_314
Ab_337
Ab_352
Protein A

q10% [mg/mL gel]

44
Preparative chromatography
Yield

Purity

[%]

100

60

20
0

45
Specific IgG affinity ligands

Ab_352

Protein
A

MW [g/mol]

456

-

Binding IgG1 [%]

100

100

Binding HCP [%]

2

2

Kd [mg/mL]

0.152

0.005

qm [mg/mL]

45

39

t0.8 [min]

8.9

9.5

>1000

-

DBC [mg/mL]

23

28

qeq [mg/mL]

35

40

purity [%]

97

98

t0.5 (0.5 M NaOH) [h]

46
Graffinity® Fc binders

Protein A

Graffinity® ligands

Costs

High

Much lower

Chemical stability

Low-moderate

Very high

Leaching

Problematic
QC controlled

Negligible
Potentially no QC

IgG3 binding

Very Low

Moderate

Aggregate
separation

No

Yes

47
Graffinity® Fc binders

✔✔✔ Chromatographic performance
“as good as or better than Protein A”

Next
•

Find partner(s) for product development & commercialization

•

Offer for beta testing (from our “lead” partner

•

Next generation developments

48
Commercial supply

Performance
optimization
by CMO

Rigorous process/performance
testing by manufacturing partner

Data
evaluation

Final product for testing
with clients

Alpha testing

Feedback from client
labs - performance

Business
cases

Commercial
agreements &
final optimization
& use
49
Timelines
Depends on:1. Aims – what is good enough? “quick & dirty” or fully optimized performance?
2. Results - how challenging is the target? How many DMT cycles? Chemistry?

50
The Graffinity Pipeline

Target

Your choice
client commissioned projects

Discovery

albumin, insulin, factor VII, factor VIII,
alpha-1-antitrypsin, fibrinogen,
plasminogen, tPA, tPA-urokinase,
alkaline phosphatase,
novel scaffolds or proteins

Generic Fab for MAb/Ab fragments – screening hits
CHO/HCP – DSP polishing / POC media
Bevacuzimab specific Fab binder

Development

MAb Fc binder

Commercial

51
OFFERS: Graffinity development projects




Discovery already funded NovAliX
Offered for clients to develop
Exclusivity under license

1. Fab
•
•

2.

HCP
•

3.

Graffinity screening done ✔
Primary hits identified ✔
Chromatographic performance demonstrated ✔

Bevacizmab
• Chromatographic performance demonstrated ✔

4.

Fc

52
OFFERS: Research projects






Client funded
Access to a proprietary & powerful technology
Exclusive solutions
IP protectable performance advantages
•

Discovery of novel ligands for any target

53
What boundaries do you need moving?

Graffinity®

Capacity
Cost

Re-use

Yield

Productivity

Stability

Selectivity
54
(Gr)affinity® how can it work for you?

Let’s talk about how to support
your business projects
& your personal success

Dr. Frank MOFFATT
Director of Business Development
fm@novalix-pharma.com
Mobile/handy/cell
+41 7 86 49 60 50

More Related Content

What's hot

Creation of filaments for 3D printing via hot melt extrusion - Evaluating dif...
Creation of filaments for 3D printing via hot melt extrusion - Evaluating dif...Creation of filaments for 3D printing via hot melt extrusion - Evaluating dif...
Creation of filaments for 3D printing via hot melt extrusion - Evaluating dif...
MilliporeSigma
 
3D Printing - shaping the future of formulation development
3D Printing - shaping the future of formulation development3D Printing - shaping the future of formulation development
3D Printing - shaping the future of formulation development
Merck Life Sciences
 
Swellographic othman
Swellographic othmanSwellographic othman
Swellographic othman
Othman Al Musaimi
 
Stability indicating RP-HPLC method for estimation of dapagliflozin in bulk a...
Stability indicating RP-HPLC method for estimation of dapagliflozin in bulk a...Stability indicating RP-HPLC method for estimation of dapagliflozin in bulk a...
Stability indicating RP-HPLC method for estimation of dapagliflozin in bulk a...
SriramNagarajan19
 
Andres - Biteg
Andres - BitegAndres - Biteg
Andres - Biteg
Andres Barco
 
RNA editing as a drug target in tryp. development of a high throughput sceeni...
RNA editing as a drug target in tryp. development of a high throughput sceeni...RNA editing as a drug target in tryp. development of a high throughput sceeni...
RNA editing as a drug target in tryp. development of a high throughput sceeni...
Laurence Dawkins-Hall
 
2015 EUROPACAT ZEOLITE APPLICATIONS
2015 EUROPACAT ZEOLITE APPLICATIONS2015 EUROPACAT ZEOLITE APPLICATIONS
2015 EUROPACAT ZEOLITE APPLICATIONS
Iacovos Vasalos
 
How Molecular Structure Influences Potency of a Therapeutic Biologic
How Molecular Structure Influences Potency of a Therapeutic BiologicHow Molecular Structure Influences Potency of a Therapeutic Biologic
How Molecular Structure Influences Potency of a Therapeutic Biologic
Merck Life Sciences
 
Preparation of protein-loaded PLGA-PVP blend nanoparticles by nanoprecipitati...
Preparation of protein-loaded PLGA-PVP blend nanoparticles by nanoprecipitati...Preparation of protein-loaded PLGA-PVP blend nanoparticles by nanoprecipitati...
Preparation of protein-loaded PLGA-PVP blend nanoparticles by nanoprecipitati...
Nanomedicine Journal (NMJ)
 
Polymeric nanoparticles for encapsulation and controlled release of bioactive...
Polymeric nanoparticles for encapsulation and controlled release of bioactive...Polymeric nanoparticles for encapsulation and controlled release of bioactive...
Polymeric nanoparticles for encapsulation and controlled release of bioactive...
Tomsk Polytechnic University
 
The Value in Recycled Polyamides
The Value in Recycled PolyamidesThe Value in Recycled Polyamides
The Value in Recycled Polyamides
Total Cray Valley
 
Dispersants & Coupling Agents: New Chemistry for a Mature Industry
Dispersants & Coupling Agents: New Chemistry for a Mature IndustryDispersants & Coupling Agents: New Chemistry for a Mature Industry
Dispersants & Coupling Agents: New Chemistry for a Mature Industry
Total Cray Valley
 
Adding Value to Recycled Polyamides with Polyfunctional Chain Extenders
Adding Value to Recycled Polyamides with Polyfunctional Chain ExtendersAdding Value to Recycled Polyamides with Polyfunctional Chain Extenders
Adding Value to Recycled Polyamides with Polyfunctional Chain Extenders
Total Cray Valley
 
The Application of Non-Combinatorial Chemistry to Lead Discovery
The Application  of Non-Combinatorial Chemistry to Lead DiscoveryThe Application  of Non-Combinatorial Chemistry to Lead Discovery
The Application of Non-Combinatorial Chemistry to Lead Discovery
Graham Smith
 
Rashid_Feroze_AState_2016_Poster
Rashid_Feroze_AState_2016_PosterRashid_Feroze_AState_2016_Poster
Rashid_Feroze_AState_2016_Poster
FEROZE RASHID
 
Polymers in Cables
Polymers in CablesPolymers in Cables
Polymers in Cables
Total Cray Valley
 
Final Poster (3)
Final Poster (3)Final Poster (3)
Final Poster (3)
Kevin L. Lee
 
Polysaccharides based nanoparticles for drug delivery application
Polysaccharides based nanoparticles for drug delivery applicationPolysaccharides based nanoparticles for drug delivery application
Polysaccharides based nanoparticles for drug delivery application
Tomsk Polytechnic University
 
Synthesis of adc linker payload
Synthesis of adc linker payloadSynthesis of adc linker payload
Synthesis of adc linker payload
Creative Biolabs
 
Custom synthesis of adc linker payload set
Custom synthesis of adc linker payload setCustom synthesis of adc linker payload set
Custom synthesis of adc linker payload set
Creative Biolabs
 

What's hot (20)

Creation of filaments for 3D printing via hot melt extrusion - Evaluating dif...
Creation of filaments for 3D printing via hot melt extrusion - Evaluating dif...Creation of filaments for 3D printing via hot melt extrusion - Evaluating dif...
Creation of filaments for 3D printing via hot melt extrusion - Evaluating dif...
 
3D Printing - shaping the future of formulation development
3D Printing - shaping the future of formulation development3D Printing - shaping the future of formulation development
3D Printing - shaping the future of formulation development
 
Swellographic othman
Swellographic othmanSwellographic othman
Swellographic othman
 
Stability indicating RP-HPLC method for estimation of dapagliflozin in bulk a...
Stability indicating RP-HPLC method for estimation of dapagliflozin in bulk a...Stability indicating RP-HPLC method for estimation of dapagliflozin in bulk a...
Stability indicating RP-HPLC method for estimation of dapagliflozin in bulk a...
 
Andres - Biteg
Andres - BitegAndres - Biteg
Andres - Biteg
 
RNA editing as a drug target in tryp. development of a high throughput sceeni...
RNA editing as a drug target in tryp. development of a high throughput sceeni...RNA editing as a drug target in tryp. development of a high throughput sceeni...
RNA editing as a drug target in tryp. development of a high throughput sceeni...
 
2015 EUROPACAT ZEOLITE APPLICATIONS
2015 EUROPACAT ZEOLITE APPLICATIONS2015 EUROPACAT ZEOLITE APPLICATIONS
2015 EUROPACAT ZEOLITE APPLICATIONS
 
How Molecular Structure Influences Potency of a Therapeutic Biologic
How Molecular Structure Influences Potency of a Therapeutic BiologicHow Molecular Structure Influences Potency of a Therapeutic Biologic
How Molecular Structure Influences Potency of a Therapeutic Biologic
 
Preparation of protein-loaded PLGA-PVP blend nanoparticles by nanoprecipitati...
Preparation of protein-loaded PLGA-PVP blend nanoparticles by nanoprecipitati...Preparation of protein-loaded PLGA-PVP blend nanoparticles by nanoprecipitati...
Preparation of protein-loaded PLGA-PVP blend nanoparticles by nanoprecipitati...
 
Polymeric nanoparticles for encapsulation and controlled release of bioactive...
Polymeric nanoparticles for encapsulation and controlled release of bioactive...Polymeric nanoparticles for encapsulation and controlled release of bioactive...
Polymeric nanoparticles for encapsulation and controlled release of bioactive...
 
The Value in Recycled Polyamides
The Value in Recycled PolyamidesThe Value in Recycled Polyamides
The Value in Recycled Polyamides
 
Dispersants & Coupling Agents: New Chemistry for a Mature Industry
Dispersants & Coupling Agents: New Chemistry for a Mature IndustryDispersants & Coupling Agents: New Chemistry for a Mature Industry
Dispersants & Coupling Agents: New Chemistry for a Mature Industry
 
Adding Value to Recycled Polyamides with Polyfunctional Chain Extenders
Adding Value to Recycled Polyamides with Polyfunctional Chain ExtendersAdding Value to Recycled Polyamides with Polyfunctional Chain Extenders
Adding Value to Recycled Polyamides with Polyfunctional Chain Extenders
 
The Application of Non-Combinatorial Chemistry to Lead Discovery
The Application  of Non-Combinatorial Chemistry to Lead DiscoveryThe Application  of Non-Combinatorial Chemistry to Lead Discovery
The Application of Non-Combinatorial Chemistry to Lead Discovery
 
Rashid_Feroze_AState_2016_Poster
Rashid_Feroze_AState_2016_PosterRashid_Feroze_AState_2016_Poster
Rashid_Feroze_AState_2016_Poster
 
Polymers in Cables
Polymers in CablesPolymers in Cables
Polymers in Cables
 
Final Poster (3)
Final Poster (3)Final Poster (3)
Final Poster (3)
 
Polysaccharides based nanoparticles for drug delivery application
Polysaccharides based nanoparticles for drug delivery applicationPolysaccharides based nanoparticles for drug delivery application
Polysaccharides based nanoparticles for drug delivery application
 
Synthesis of adc linker payload
Synthesis of adc linker payloadSynthesis of adc linker payload
Synthesis of adc linker payload
 
Custom synthesis of adc linker payload set
Custom synthesis of adc linker payload setCustom synthesis of adc linker payload set
Custom synthesis of adc linker payload set
 

Similar to Graffinity: Novel affinity ligands for downstream processing of proteins

Improving Downstream Processing: Application of Excipients in DSP
Improving Downstream Processing: Application of Excipients in DSPImproving Downstream Processing: Application of Excipients in DSP
Improving Downstream Processing: Application of Excipients in DSP
Merck Life Sciences
 
Improving Downstream Processing: Application of Excipients in DSP
Improving Downstream Processing: Application of Excipients in DSPImproving Downstream Processing: Application of Excipients in DSP
Improving Downstream Processing: Application of Excipients in DSP
MilliporeSigma
 
Platforms for mAb Commercialization
Platforms for mAb Commercialization Platforms for mAb Commercialization
Platforms for mAb Commercialization
KBI Biopharma
 
Process Scale Chromatography
Process Scale ChromatographyProcess Scale Chromatography
Process Scale Chromatography
MilliporeSigma
 
Process Scale Chromatography
Process Scale ChromatographyProcess Scale Chromatography
Process Scale Chromatography
Merck Life Sciences
 
From preclinical to commercial: The evolution of ADC manufacturing expertise ...
From preclinical to commercial: The evolution of ADC manufacturing expertise ...From preclinical to commercial: The evolution of ADC manufacturing expertise ...
From preclinical to commercial: The evolution of ADC manufacturing expertise ...
MilliporeSigma
 
From preclinical to commercial: The evolution of ADC manufacturing expertise ...
From preclinical to commercial: The evolution of ADC manufacturing expertise ...From preclinical to commercial: The evolution of ADC manufacturing expertise ...
From preclinical to commercial: The evolution of ADC manufacturing expertise ...
Merck Life Sciences
 
C Amp Detection Methods In Hts
C Amp Detection Methods In HtsC Amp Detection Methods In Hts
C Amp Detection Methods In Hts
Vincen Pan
 
Custom Affinity Chromatography for Vaccine Purification: A New PD Paradigm
Custom Affinity Chromatography for Vaccine Purification: A New PD ParadigmCustom Affinity Chromatography for Vaccine Purification: A New PD Paradigm
Custom Affinity Chromatography for Vaccine Purification: A New PD Paradigm
MilliporeSigma
 
Custom Affinity Chromatography for Vaccine Purification: A New PD Paradigm
Custom Affinity Chromatography for Vaccine Purification: A New PD ParadigmCustom Affinity Chromatography for Vaccine Purification: A New PD Paradigm
Custom Affinity Chromatography for Vaccine Purification: A New PD Paradigm
Merck Life Sciences
 
The Butterfly Effect: How to see the impact of small changes to your ADC
The Butterfly Effect: How to see the impact of small changes to your ADCThe Butterfly Effect: How to see the impact of small changes to your ADC
The Butterfly Effect: How to see the impact of small changes to your ADC
Merck Life Sciences
 
A Comparison of Multimodal Chromatographic Resin: Protein Binding & Selectivity
A Comparison of Multimodal Chromatographic Resin: Protein Binding & SelectivityA Comparison of Multimodal Chromatographic Resin: Protein Binding & Selectivity
A Comparison of Multimodal Chromatographic Resin: Protein Binding & Selectivity
KBI Biopharma
 
Technology Trends in Bioprocessing Purification
Technology Trends in Bioprocessing PurificationTechnology Trends in Bioprocessing Purification
Technology Trends in Bioprocessing Purification
Merck Life Sciences
 
Technology Trends in Bioprocessing Purification
Technology Trends in Bioprocessing PurificationTechnology Trends in Bioprocessing Purification
Technology Trends in Bioprocessing Purification
MilliporeSigma
 
Dna Methylation Analysis in a Single Day - Download the Slides
Dna Methylation Analysis in a Single Day - Download the SlidesDna Methylation Analysis in a Single Day - Download the Slides
Dna Methylation Analysis in a Single Day - Download the Slides
QIAGEN
 
HIV Vaccines Process Development & Manufacturing - Pitfalls & Possibilities
HIV Vaccines Process Development & Manufacturing - Pitfalls & PossibilitiesHIV Vaccines Process Development & Manufacturing - Pitfalls & Possibilities
HIV Vaccines Process Development & Manufacturing - Pitfalls & Possibilities
KBI Biopharma
 
Grease particle counting ASTM 2015
Grease particle counting ASTM 2015Grease particle counting ASTM 2015
Grease particle counting ASTM 2015
Rich Wurzbach
 
Fussion protein and affinity Purification
Fussion protein and affinity PurificationFussion protein and affinity Purification
Fussion protein and affinity Purification
IndraSaputra493101
 
2020_Lecture7.ppt
2020_Lecture7.ppt2020_Lecture7.ppt
2020_Lecture7.ppt
krishnanand43
 
From WCBP 2015: GlycoWorks RapiFluor-MS for Glycan Profiling
From WCBP 2015: GlycoWorks RapiFluor-MS for Glycan ProfilingFrom WCBP 2015: GlycoWorks RapiFluor-MS for Glycan Profiling
From WCBP 2015: GlycoWorks RapiFluor-MS for Glycan Profiling
Waters Corporation
 

Similar to Graffinity: Novel affinity ligands for downstream processing of proteins (20)

Improving Downstream Processing: Application of Excipients in DSP
Improving Downstream Processing: Application of Excipients in DSPImproving Downstream Processing: Application of Excipients in DSP
Improving Downstream Processing: Application of Excipients in DSP
 
Improving Downstream Processing: Application of Excipients in DSP
Improving Downstream Processing: Application of Excipients in DSPImproving Downstream Processing: Application of Excipients in DSP
Improving Downstream Processing: Application of Excipients in DSP
 
Platforms for mAb Commercialization
Platforms for mAb Commercialization Platforms for mAb Commercialization
Platforms for mAb Commercialization
 
Process Scale Chromatography
Process Scale ChromatographyProcess Scale Chromatography
Process Scale Chromatography
 
Process Scale Chromatography
Process Scale ChromatographyProcess Scale Chromatography
Process Scale Chromatography
 
From preclinical to commercial: The evolution of ADC manufacturing expertise ...
From preclinical to commercial: The evolution of ADC manufacturing expertise ...From preclinical to commercial: The evolution of ADC manufacturing expertise ...
From preclinical to commercial: The evolution of ADC manufacturing expertise ...
 
From preclinical to commercial: The evolution of ADC manufacturing expertise ...
From preclinical to commercial: The evolution of ADC manufacturing expertise ...From preclinical to commercial: The evolution of ADC manufacturing expertise ...
From preclinical to commercial: The evolution of ADC manufacturing expertise ...
 
C Amp Detection Methods In Hts
C Amp Detection Methods In HtsC Amp Detection Methods In Hts
C Amp Detection Methods In Hts
 
Custom Affinity Chromatography for Vaccine Purification: A New PD Paradigm
Custom Affinity Chromatography for Vaccine Purification: A New PD ParadigmCustom Affinity Chromatography for Vaccine Purification: A New PD Paradigm
Custom Affinity Chromatography for Vaccine Purification: A New PD Paradigm
 
Custom Affinity Chromatography for Vaccine Purification: A New PD Paradigm
Custom Affinity Chromatography for Vaccine Purification: A New PD ParadigmCustom Affinity Chromatography for Vaccine Purification: A New PD Paradigm
Custom Affinity Chromatography for Vaccine Purification: A New PD Paradigm
 
The Butterfly Effect: How to see the impact of small changes to your ADC
The Butterfly Effect: How to see the impact of small changes to your ADCThe Butterfly Effect: How to see the impact of small changes to your ADC
The Butterfly Effect: How to see the impact of small changes to your ADC
 
A Comparison of Multimodal Chromatographic Resin: Protein Binding & Selectivity
A Comparison of Multimodal Chromatographic Resin: Protein Binding & SelectivityA Comparison of Multimodal Chromatographic Resin: Protein Binding & Selectivity
A Comparison of Multimodal Chromatographic Resin: Protein Binding & Selectivity
 
Technology Trends in Bioprocessing Purification
Technology Trends in Bioprocessing PurificationTechnology Trends in Bioprocessing Purification
Technology Trends in Bioprocessing Purification
 
Technology Trends in Bioprocessing Purification
Technology Trends in Bioprocessing PurificationTechnology Trends in Bioprocessing Purification
Technology Trends in Bioprocessing Purification
 
Dna Methylation Analysis in a Single Day - Download the Slides
Dna Methylation Analysis in a Single Day - Download the SlidesDna Methylation Analysis in a Single Day - Download the Slides
Dna Methylation Analysis in a Single Day - Download the Slides
 
HIV Vaccines Process Development & Manufacturing - Pitfalls & Possibilities
HIV Vaccines Process Development & Manufacturing - Pitfalls & PossibilitiesHIV Vaccines Process Development & Manufacturing - Pitfalls & Possibilities
HIV Vaccines Process Development & Manufacturing - Pitfalls & Possibilities
 
Grease particle counting ASTM 2015
Grease particle counting ASTM 2015Grease particle counting ASTM 2015
Grease particle counting ASTM 2015
 
Fussion protein and affinity Purification
Fussion protein and affinity PurificationFussion protein and affinity Purification
Fussion protein and affinity Purification
 
2020_Lecture7.ppt
2020_Lecture7.ppt2020_Lecture7.ppt
2020_Lecture7.ppt
 
From WCBP 2015: GlycoWorks RapiFluor-MS for Glycan Profiling
From WCBP 2015: GlycoWorks RapiFluor-MS for Glycan ProfilingFrom WCBP 2015: GlycoWorks RapiFluor-MS for Glycan Profiling
From WCBP 2015: GlycoWorks RapiFluor-MS for Glycan Profiling
 

Recently uploaded

Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Zilliz
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Neo4j
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
20 Comprehensive Checklist of Designing and Developing a Website
20 Comprehensive Checklist of Designing and Developing a Website20 Comprehensive Checklist of Designing and Developing a Website
20 Comprehensive Checklist of Designing and Developing a Website
Pixlogix Infotech
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
innovationoecd
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems S.M.S.A.
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
Rohit Gautam
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
Claudio Di Ciccio
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
sonjaschweigert1
 

Recently uploaded (20)

Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
 
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
20 Comprehensive Checklist of Designing and Developing a Website
20 Comprehensive Checklist of Designing and Developing a Website20 Comprehensive Checklist of Designing and Developing a Website
20 Comprehensive Checklist of Designing and Developing a Website
 
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of GermanyPresentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
 
“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”“I’m still / I’m still / Chaining from the Block”
“I’m still / I’m still / Chaining from the Block”
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
 

Graffinity: Novel affinity ligands for downstream processing of proteins

Editor's Notes

  1. ExperimentChromatography on 30 µL columnsInjection: 3.3 cv IgG or flowthrough from protein A chromatography (HCP)Elution: 5 CV glycine-Cl, 50 mM, pH 2.5ResultsQuantitative binding by all ligandsNo binding to negative control (CEA)Promising selectivity
  2. ExperimentPapain cleavage of IgGPurification of Fab &amp; Fc fragments by protein A chromatography &amp; SECChromatography of Fc &amp; Fab fragments on µL-scaleChromatography of a second control IgG (“other IgG”) on µL-scaleResultSpecific binding to Fab region of bevacizumabConclusionNot a generic Fab binder
  3. ExperimentEquilibrium batch adsorption in MTPs0.5 - 5 mg/mL (3.3 – 33 µM) IgG in PBS5 µL gel, 110 µL reaction volume25 °C, 1000 rpm, ≥ 3 hQuantification by BradfordFitting with Langmuir isotherm equationResultsAffinity of ligands sufficient for typical IgG titers in feed streamsCapacity comparable to protein A sepharose FF or better
  4. Favorable adsorption kineticsBinding faster than for Protein A Rapid adsorption allows for high dynamic capacities at short contact timesExperimentDynamic batch adsorption in MTPs0.75 mg/mL (5 µM) IgG in PBS5 µL gel, 110 µL reaction volume25 °C, 1000 rpm, 2.5 – 80 minConcentration measurements by Bradford assayDetermination of t0.8ResultsBinding faster than for Protein A Rapid adsorption allows for high dynamic capacities at short contact times
  5. ExperimentTreatment of ligands with sodium hydroxide 1 - 2 mM ligand in 20% DMSO0.1 / 0.5 M NaOH, room temperatureAnalysis by LC-MSResultsAb_07 very stable in sodium hydroxideConclusion Potential to improve alkaline stability through chemical structural optimization
  6. ExperimentFrontal analysis with pure IgG on short columnsColumns: Omnifit 25 mm x 3 mm (0.177 mL)Sample: 1 mg/mL IgG in PBSDetermination of dynamic binding capacity at 10% breakthroughFlow rate: 50 cm/h (3 min column residence time)ResultHigher dynamic binding capacity with Ab_10 SepharoseConclusion Potential of further gains in capacity by matrix / linker optimization
  7. ExperimentSimulation of feed by spiking IgG into HCPInitial IgG purity: 20 % Injection: 100 cv IgG + HCPWash: 20 cv PBS, pH 7.3Elution: 20 cv glycine, 50 mM, pH 3.0Online monitoring at 280 nmAnalysis of eluate fractions by SDS-PAGEResultAb_10 96% Recovery &amp; high purityConclusionComparable to protein A but specific for bevacizumab
  8. * Ab_130 :next generation with improved alkaline stability
  9. ExperimentChromatography on 30 µL columnsInjection: 3.3 cv IgG or HCPElution: 5 cv Glycine-Cl, 50 mM, pH 2.5ResultsComplete binding of IgG1, IgG2 and IgG4Only moderate binding of IgG3Similar binding pattern than for Protein A
  10. ExperimentEquilibrium batch adsorption in MTPs0.5 - 5 mg/mL (3.3 – 33 µM) IgG in PBS5 µL gel, 110 µL reaction volume25 °C, 1000 rpm, ≥ 3 hQuantification by BradfordFitting with Langmuir isotherm equationResultsAffinities are in the submicromolar rangeAffinity is sufficient for typical IgG titers in feed streamsCapacity comparable to Protein A sepharose FF or better
  11. ExperimentDynamic batch adsorption in MTPs0.75 mg/mL (5 µM) IgG in PBS5 µL gel, 110 µL reaction volume25 °C, 1000 rpm, 2.5 – 80 minConcentration measurements by Bradford assayDetermination of t0.8ResultsBinding kinetics in the range of Protein A or fasterRapid adsorption allows for high dynamic capacities at short contact times
  12. ExperimentTreatment of ligands with 0.5 M sodium hydroxide1 - 2 mM ligand in 20% DMSORoom temperatureAnalysis at various time points by LC-MSCalculation of t0.5ConclusionLigands have excellent alkaline stability
  13. ExperimentFrontal analysis with pure IgG on short columnsColumns: Omnifit 25 mm x 3 mm (0.177 mL)Sample: 1 mg/mL IgG in PBSDetermination of dynamic binding capacity at 10% breakthroughFlow rate: 50 cm/h (3 min column residence time) ResultDynamic binding capacity 20 - 25 mg/mL ConclusionPotential for higher capacity by matrix / linker optimization
  14. ExperimentSpiking of IgG into HCPInitial IgG purity: 20 % Injection: 100 CV IgG + HCPWash: 20 CV PBS, pH7.3Elution: 20 CV glycine, 50 mM, pH 3.0ResultsRecovery comparable to Protein APurity &gt;95 % ConclusionFurther ligand optimization is still possible