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Sutro Biopharma Overview Best-­‐in-­‐Class Biotherapeu6cs Through ProteinSAR™ Bill Newell, CEO
Trevor Hallam, CSO
Jeremy Bender, CBO
Ed Albini, CFO
310 Utah Avenue
Suite 150
South San Francisco, CA 94080
+1 650 392 8412
www.sutrobio.com
Sutro’s Xpress CF™ Platform:
Cell-Free Synthetic Biology
input
(DNA)
Assembled
IgG
+
Energy
+
Accessories*
(AA, proteins, RNAP,
metabolites)
Ribosome
(Catalyst)
output
Engineered cell-free extract
(multi-domain
(E. coli)
eukaryotic proteins)
*To be incorporated into strain for commercial production
Highlights
• 
Sutro’s ProteinSAR™ platform: the first practical technology for
defining protein structure-activity relationships
•  The first homogeneous antibody-drug conjugates (ADCs)
•  Combinatorial optimization of bispecific antibodies
•  Rapid, high-throughput protein production reduces time from concept to clinical
candidate from >24 months to <12 months
• 
Strategic partnerships
•  Celgene: ADC, bispecific and monoclonal antibody collaboration plus expansion
into multispecific antibodies targeting immuno-oncology pathways
•  Merck-Serono: multi-target ADC collaboration
•  J&J Innovation Center: spin-out of vaccine company SutroVax
• 
Initial product focus ADCs
• 
Broad, fundamental IP
• 
Experienced management team
3
Pipeline
Program /Ini6al Therapeu6c Target Research Preclinical Phase I/II Oncology An6body-­‐drug conjugates Mul6ple an6body-­‐drug conjugates An6body-­‐drug conjugate Bispecific an6body Therapeu6c an6body Mul6specific an6bodies targe6ng immuno-­‐oncology 4
Fundamental Breakthroughs in
Therapeutic Antibodies
Human and humanized antibodies
Abgenix, Medarex, PDL and others
40 FDA-­‐approved therapeu9c an9bodies 35 30 Human or humanized mAbs
$37.9B (2012 U.S. sales)
Sutro’s ProteinSAR™ platform
New state-ofthe-art for ADCs:
homogeneity,
site-specific
conjugation
25 20 15 10 Murine or
chimeric mAbs
0 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 5 ProteinSAR™
bispecifics: optimal
structures for
superior drug-like
properties
5
Current ADCs Are Suboptimal
Mixture Products
# drugs / Ab 0
1
2
3 4 5
6
7 8 9
Random Lysine Conjugation
# drugs / Ab 0
1
2
3 4 5
6
7 8 9
Cysteine Conjugation: S-S bonds
# drugs / Ab 0
1
2
3 4
5
6
7
8
9
Specific conjugation at any site
ADC Design is Complex;
Homogeneity is Key
Efficacy
Resistance
Antigen
Choice of Epitope
Density
Internalization rate
Antibody /
Scaffold
Tumor Distribution/Disposition
Safety
Tumor Heterogeneity (inter and intra
Antigen mutation or shedding
Therapy-induced changes
Alterations in apoptotic pathways
Healthy tissue
expression
Stability
Fc functionality and PK
Non-specific Fc binding
ADCC and CDC activity
Conjugation
Specificity
Linkers
Cleavable or non-cleavable
Stability
Immunogenicity
Stability
Physicochemical props
Warheads
Potency
Payload
Mechanism becomes redundant
MDR/Pgp status
Altered metabolism
Immunogenicity
Bystander effect
Systemic release
7
ADC SAR: Production of Every Possible
Site-Specific ADC Variant in Hours
o  Mutate Sites in IgG o  Produce nnAA IgGs o  Conjugate o  Purify o  Test 8
Selecting the Best Positional Variants
2500
MFI
2000
1500
1000
Mean Fluorescence
Rela%ve'MFIIntensity
Binding of Site variant ADCs to tumor cells;
selecting the best
500
3000
R61
S63
2000
S65
R66
Herceptin T69
D70
Sutroceptin T72
T74
S76
E293
S77
WT
K334
1000
0
0.1
150
1
150
Transform of
Transform of
Data
101 Data
1001
nM
1000
nM
warheads
(Cellular ATP content, % of control)
Relative Cell
Relative Cell Viability
Viability
Relative Cell Viability
(Cellular ATP content, % of control)
But do they all kill tumors cells efficiently?;
0
T359
T359
differences…..
0.01 0.1
1 huge
10 100
1000
K360
K360
CF-Herceptin
N361
N361
nM
100
50
0
0.0001
100
50
Q362
Q362
K370
Y373
S375
W381
K370
Y373
S375
W381
S383
S383
N384
N384
S136, GY S136, GY
DAR=1.6
WT HIC
WT HIC
0
0.0001
0.001
S136 ERB2 E
S136 ERB2 ELISA
0.001
0.01
ug/ml
0.010.1
ug/ml
ug/mL
0.1 1
1
9
Homogeneous ADCs Kill Tumor Cells More
Efficiently Than Heterogeneous mixtures
It takes 4 to 5-fold higher cytotoxic drug loads to kill tumor cells
using SGEN’s linker technology than Sutro’s
Sutrocep)n+Variants
150
Published Data – Genentech patent
MMAF+AB3626+(No+Peg)+Only
H-MC-MMAF [cys] (120 hours)
MMAF+AB3627+(++Peg)+Only
From: US Patent 7,994,135 B2 Aug 9, 2011; Fig 7
Hercep)nTM
100
ADC - 3.8 drugs/Ab
ADC - 4.1 drugs/Ab
MMAF+AB3617+Only
ADC – 4.8 drugs/Ab
Sutrocep)n++
1 Drug/Ab
4-5 Drugs/Ab
Cell Viability
(relative
Luminescence)
Rela)ve+Cell+Viability
(Cellular+ATP+content,+%+of+Control)
Cell Viability Assay with Single ADC Variants
A118FAB3626+(No+Peg)
50
A118FAB3627+(++Peg)
S375FAB3626+(No+Peg)
S375FAB3627+(++Peg)
T135FAB3626+(No+Peg)
0
0.0001
0.001
0.01
ug/ml
µg/ml
0.1
1
10
ug/ml
10
Position Matters for Effective Killing of Human
Tumors in Animal Models—Proof Established 1600
Free Drug, 0.54mg/kg
Dose equivalence at
DAR of 4.0
Vehicle
Tumor Volume, mm3
1200
IgG HC site 1
15mg/kg
Trastuzumab-CF
IgG HC site 6, DAR 1.959
IgG HC site 5, DAR 1.970
800
IgG HC site 1, DAR 1.840
15mg/kg
Trastuzumab-CF
MMAF Conjugates
IgG HC site 4, DAR 1.973
400
Trastuzumab,
1x 30mg/kg (t =0), 3x15mg/kg (weekly)
0
0
10
20
30
40
50
60
70
Days
• 
• 
• 
• 
n =10 each treatment group
All treatments (except Trastuzumab) are single intra-venous dose @ t=0
Trastuzumab multiple dose group dosed i.p
No significant weight loss observed in any treatment group
11
scFv-­‐Fc DBCO MMAF Conjugate Scaffolds are Very Effec9ve at Equivalent Molar ADC Doses 2000
1500
Vehicle 1000
IgG ADC** scFv-­‐Fc ADC** 500
0
Tumor Volume, mm3
HIGH 20
40
MID 1500
1000
500
0
0
60
0
20
40
60
Days
Days
2000
LOW Vehicle
Vehicle
IgG1
(ScFv-Fc)2
IgG Site 5 AB4285 scFv-­‐Fc Site 5 AB4285 DOSE Trastuzumab-CF IgG1 HC SITE 5 pAzMF DBCO MMAF AB4285, 15mg/kg, DAR 1.7
DAR 1.7 DAR 1.8* Tumor Volume, mm3
Tumor Volume, mm3
2000
1500
Trastuzumab-CF IgG1 HC SITE 5 pAzMF DBCO MMAF AB4285, 10mg
Trastuzumab-CF scFv-Fc SITE 5 pAzMF DBCO MMAF AB4285, 7.18m
Trastuzumab-CF scFv-Fc SITE 5 pAzMF DBCO MMAF AB4285, 10.77mg/kg, DAR 1.8
HIGH 15 mg/kg (542ug MMAF/m2) 10.77 mg/kg (570ug MMAF/m2) MID 10 mg/kg (361ug MMAF/m2) 7.18 mg/kg (380ug MMAF/m2) LOW 5 mg/kg (180ug MMAF/m2) 3.59 mg/kg (190ug MMAF/m2) * Matched Drug Dosing ** HC Site 5 ADCs Used 1000
500
0
0
20
40
Days
60
An Industry First: Two Different Payloads
Enabling two different specifically posi9oned payloads per an9body Mul9ple payload (2, 4, 6, 8+) op9ons Benefits payloads
•  Synergistic mechanisms of action
enable more effective tumor killing with
reduced toxicity potential
•  Overcome resistance due to toxin
transport or metabolism
•  Eliminate effects of tumor heterogeneity
13
Dual Payload Proof
Drug1 on
HC
Drug1
DAR
Drug2 on LC
Drug2
DAR
Total DAR
MMAF
1.8
SN-38
1.4
3.2
MMAF
1.8
PBD dimer
1.5
3.4
MMAF
1.9
Gemcitabine
1.6
3.6
PBD dimer
1.9
MMAF
1.7
3.7
Gemcitabine
2.0
MMAF
1.6
3.5
PBD Dimer/
MMAF Dual Warhead ADC
DAR=3.7
14
The Ideal ADC Profile
Desired Characteris6cs Homogeneous, not heterogeneous, ADC Site-­‐specific conjuga9on – anywhere in the mAb; all sites are evaluable Ability to site-­‐specifically conjugate mul9ple numbers of warhead (DAR =2, 4, 6, 8 or more) Ability to site-­‐specifically conjugate two different warhead killing mechanisms Op9mized an9body scaffolds Scalable manufacturability Sutro PlaXorm þ þ þ þ þ þ 15
Rapid Execution of Bispecific
Antibody Discovery Programs
Discover novel an9body fragments using ribosome display and screening Express an9bodies and fragments with Sutro protein synthesis system Reformat fragments in host of different bispecific and an9body frameworks Select the best lead candidate based on in vitro and in vivo ac9vity 16
Source of Antibodies and Integration
into the Sutro System
• 
• 
• 
• 
• 
Mouse
Rabbit
Chicken
Humanized Mice
Human B-cells
B-­‐Cell Based Technologies Phage Display Bacteriophage
Display
Cell-­‐Based Display Ribosome Display Bispecifics Many
Scaffolds
•  Bacteria Display
•  Yeast Display
•  Mammalian
Display
Sutro Cell Free
Antibody
Discovery
Antibody
Engineering
Sutro System nnAA
Linkerwarhead
ADCs 17
Sutro Platform Enables Multiple
Bispecific Antibody Formats
scFv
scFv1scFv2
scFv1-scFv2- Fc
scFv1-Fc-scFv2
scFv-scFc
scFv-Fc
scFv1-scFc-scFv2
Rapid expression of multiple scaffolds to define product format with
optimal activity and half-life
18
BiTE Scaffolds for Testing T cell Engagement
and Half-Life Extension In Vivo
Y
short serum half-life
(several hours)
traditional BiTE
Y scFv x Z scFv
Z
human serum albumin (HSA)-associated BiTEs
Y
Y
Z
Z
HSA-binding
peptide
HSA
HSA fusion
increased serum half-life
(several days desired)
Knobs-into-Holes BiTEs
Y
Y
Z
Z
Y
Y-knob
+ Z-hole
Z
Knob-Y
+ hole-Z
BiTE-knob
+ hole
Important criteria to be met
•  Yield
•  Purity of assembled product
•  Binding affinity of scFvs
•  T cell killing activity
•  Serum half-life and stability
Example of Sutro-Produced Bispecific
Antibody: MT103
BiTE (= Bispecific T Cell Engager) Teach
Antibodies to Engage T Cells
α-CD19
-Tumor
Antibody
BiTE
VH
-CD3
Single-chain
Antibody
VL
Linker
Single-chain
Antibody
Source: Micromet AG/ AMGEN
20 MT-103CF: Pre-Optimized Expression
Standard Expression Conditions 1-7
C14
Incorporation
97
69
55.4
46
30
12
MT103CF
Initial Expression Level
0.4 gram / Liter Soluble
0.5 gram / Liter Total
(6 hours Expression)
(30% Extract)
Minimal:
•  Proteolysis
•  Mixed Multimers
•  Truncation Products
Large Scale Production of MT103CF
SDS-­‐PAGE of MT103CF: 250 kD-­‐ 150 kD-­‐ 100 kD-­‐ 75 kD-­‐ 50 kD-­‐ 37 kD-­‐ 25 kD-­‐ 20 kD-­‐ 15 kD-­‐ 10 kD-­‐ •  Single Column Purification using Protein L support
•  Large Monomeric Peak on Analytical SEC Column
MT103CF binding to Nalm-6 cells
Nalm-6 cells
CF MT-103
HEK MT-103
CHO MT-103
400
MFI
300
200
100
0
10-310-210-1 100 101 102 103 104
Kd Kd
CF-­‐MT103 1.5 CF MT-103 1.467
HEKMMT-103
2.033
HEK T-­‐103 2.0 CHO MT-103 3.880
CHO MT-­‐103 3.9 nM
MT103CF: comparable affinity to HEK and CHO MT103
specific cytotoxicity (%)
T-cell donor 1
Donor 1 70
60
50
40
30
20
10
0
10-510-410-310-210-1100 101
specific cytotoxicity (%)
specific cytotoxicity (%)
Comparison of MT103 Produced in Sutro
Platform and Cell-Based Systems
T-cell donor 3
T-cell donor 3
Donor 2 70
7060
CF MT-103
6050
MT-103
CFHEK
MT-103
5040
CHO
MT-103
HEK
MT-103
4030
CHO MT-103
3020
2010
10 0
0 10-510-410-310-210-1100 101
-310-210-1 100 101
10-510-410SB-1
(ng/ml)
SB-1 (ng/ml)
SB-1 (ng/ml)
CF MT103 HEK MT103 CHO MT103 CD8+ T-­‐cell EC50 (pg/ml) EC50 (pg/ml) EC50 (pg/ml) donor 1 3.7 3.5 2.7 donor 2 3.0 1.4 1.6 24
Rapid Production of Biotherapeutics
2
DAYS
4
6
8
Sutro Technology
Synthetic
DNA
• 
• 
• 
• 
50 µg
protein
HTS plate
format
5g
protein
5-L reactor
100 g
protein
100-L
reactor
Direct linear scale-up from HTS to production scale
Uses standard bioreactors & downstream equipment
Minimal, rapid process development
Gene sequence to drug substance in days
Scalable and Efficient
a
[rhGM-CSF], mg/L
800
250 uL
300 mL
600
4L
100L
400
200
0
0
200
400
600
Time, min
Zawada et al, (2011) Biotech. & Bioeng.
Xpress CF™ Manufacturing:
GMP Facility a Critical Element Intellectual Property
•  Exclusive license to broad patent estate relating the
ProteinSAR™ platform, enabled by Xtract CF™ and
Xtract CF+™
•  12 U.S. and 33 foreign issued patents
•  14 U.S. and 23 foreign pending patent applications
28
Management Team
Management Team Board of Directors William J. Newell, JD, CEO Mike Ross, PhD Trevor Hallam, PhD, Chief Scien6fic Officer Dan Janney Jeremy Bender, PhD, MBA, Chief Business Officer John Freund, MD Ed Albini, Chief Financial Officer Armen Shanafelt, PhD Henry Heinsohn, VP Development & Manufacturing Bryan Lawlis, PhD Aaron Sato, PhD, VP Research Dan Petree Aerovance (President), QLT, Axys Pharmaceu9cals Astra Zeneca (VP Biologics – Respiratory & Inflamma9on) Smith Kline & French, Glaxo, Roche, Rhone Poulenc Rorer, Pala9n (Lead numerous programs to and through Ph 2 clinical development) Allos Therapeu9cs (VP – Corporate Development) Boston Consul9ng Group Itero Biopharmaceu9cals (CFO), Novacea (CFO), Genentech, Lynx (CFO), Carbylan Biosurgery, Peat Marwick Mitchell & Co. Genentech, Genencor, Corning Medical & Scien9fic Oncomed (Sr. Dir. -­‐ An9body Engineering)., Dyax Corp (led 4 oncology progarms into clinic at OncoMed) SV Life Sciences, Managing Partner Alta Partners, Managing Director Skyline Ventures, Founder Lilly Ventures, Venture Partner Itero Biopharmaceu9cals (CEO) Four Oaks Partners, Managing Director William J. Newell, CEO Sutro Biopharma, Inc. 29