innovation in the pharmaceutical industry through partnerships with …€¦ · ·...
TRANSCRIPT
Innovation in the Pharmaceutical Industry
through Partnerships with Academia & Industry
Malcolm Skingle CBE DSc PhD
Director – Academic Liaison
Drug Discovery
January 26th 2011
Annual Icelandic Medical Conference
Medical Research Symposium
Talk Plan
- Changing Landscape in the Pharma Industry
- Innovation in Pharmaceuticals
- The Future for Pharma & Healthcare
- Discovery Partnerships in Academia (DPAc)
- Concluding remarks
Changing Landscape in the
Pharma Industry
138
318
802
1318
0
200
400
600
800
1000
1200
1400
$ m
illi
on
1975 1987 2001 2006
Year
Estimated full cost of bringing a new chemical or biological entity to market
($ million – year 2005 $)
Source: J.A. Di Masi and H.G. Grabowski, „The Cost of
Biopharmaceutical R&D: Is biotech Different? Managerial
and Decision Economics 28 (2007): 469-479
It takes up to15 years to develop a new drug
For every 5-10,000 molecules synthesised & screened for activity, only 250 reach pre-clinical development, only 5 reach clinical trials and only one reaches the market
Cost to develop a drug in 2006:
$ 1.318 billion Only 2 of 10 marketed drugs ever
produce revenues that match or exceed R&D costs.
Pharmaceuticals are generally cheap and easy to copy – generic companies enter mature markets developed by innovator with low entry costs
These features are probably unique to the pharmaceutical industry
Drug Development is a costly & risky business
Source: Burrill & Company; US Food and Drug Administration.
Note: NMEs do not include BLAs
26 25
22
28
53
39
30
35
27
24
17
21
31
18 18
14
$12$13 $13
$15$17
$19$21
$23
$26
$30$32
$33
$39 $39
$43
$54
0
10
20
30
40
50
60
0
5
10
15
20
25
30
35
40
45
50
$55
New Drug Approvals (NMEs) PhRMA Member R&D Spending
New
Dru
g A
pp
rova
ls (
NM
Es)
Ph
arm
a R
&D
($ b
illi
on
s)
92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07
R&D Productivity decreases the innovation gap is getting wider
GAP
Pressures on the Pharma Industry
R&D spend continues to rise
The blockbuster model is unsustainable
Drugs not being reimbursed in some countries if
they are not sufficiently differentiated
There are higher regulatory risks post-launch
Pricing discussions continue
Over 6,000 compounds in development
Source: Adis R&D Insight Database, customized run (December 2007)
540
1,415
1,704
2,742
0
500
1,000
1,500
2,000
2,500
3,000
Nu
mb
er
of
Co
mp
ou
nd
s i
n
De
ve
lop
me
nt
in 2
00
7
Japan Europe Rest of World USA
Competition in Therapeutic Innovation
• Many scientists seeking to solve same problems in different
or similar ways from similar starting points at the same time
The first to market is generally quickly followed by several
others
– >15 beta blockers
– 9 protease inhibitors
– 15 NSAIDs
– >10 statins
The first mover is rarely the most successful
The period of exclusivity for first movers is shrinking &
Pharma are becoming more conservative
The period of exclusivity for first entrants to a therapeutic class is decreasing (US data)
Source: DiMasi & Paquette (2004)
1.2
3
4.1
7.2
10.2
7.7
1.8
2.8
5.1
5.9
8.2
7.2
1995-98 (n=18)
1990-94 (n=15)
1985-89 (n=14)
1980-84 (n=5)
1970s* (n=9)
1960s (n=8)
First-
in-C
lass A
ppro
val Period
Years
Mean
Median
Compound differentiation
New drugs tested against “gold standards”
Patent competition drives improvements:
Increased Efficacy
Decreased Side-effects
Decreased ADRs
Decreased drug-drug interactions
Decreased dosing
Specialised drug delivery systems
Patients benefit from a range of products with differing characteristics
Quarterly Enalapril Sales in the UK
0
5,000
10,000
15,000
20,000
25,000
QTR
SEP 1
992
QTR
MAR 1
993
QTR
SEP 1
993
QTR
MAR 1
994
QTR
SEP 1
994
QTR
MAR 1
995
QTR
SEP 1
995
QTR
MAR 1
996
QTR
SEP 1
996
QTR
MAR 1
997
QTR
SEP 1
997
QTR
MAR 1
998
QTR
SEP 1
998
QTR
MAR 1
999
QTR
SEP 1
999
QTR
MAR 2
000
QTR
SEP 2
000
QTR
MAR 2
001
QTR
SEP 2
001
QTR
MAR 2
002
Sale
s (
£ m
illi
on
)
Protection
Expiry
Source: IMS Health MIDAS database
Quarterly Enalapril sales in the UK
The patent cliff:
Pfizer will lose $13bn of income when the Lipitor patent
expires in 2011.
Eli Lilly will lose up to 75% of its revenue over the next 8
years unless it has new drugs to make up this loss.
Forcing risk averse Pharma companies to
diversify their approaches to R&D
Innovations in the Pharma Industry
penicillins
sulphonamides
aspirin
psychotropics
NSAIDS
H2-antagonists
beta blockers
lipid lowerers
ACE-inhibitors
Biotech drugs
chronic
degenerative
disease associated
with ageing,
inflammation,
cancer
drugs against
targets identified
from disease genes
1900 20301950 1960 1970 1980 1990 2000 2010 2020 2040
New
Thera
peutic
Cycl
es
1st generation 2nd generation 3rd generation
natural products
and derivatives
serendipity
receptors
enzyme
genetic engineering
cell pharmacology/
molecular biology
genomics / proteomics
Step Change Therapeutic Innovations
Rapidly Changing MarketBiologicals gaining market share
-10 -5 0 5 10 15 20
0 2 4 6
8 10 12
% Sales Growth: CAGR 2007-2012
Mark
et S
hare
%
anti-hyperlipidaemics
anti-psychotics anti-bacterials
anti-hypertensives
anti-viralsanti-diabetics
anti-rheumatics
vaccines
bronchodilators
oncology
New drug product sales growth (2007-12)
Where science and unmet need converge
Cystic Fibrosis
OSA
ARDS
Infant RDS IPF
Idiopathic Fibrotic NSIP
Fibrotic ILD Assoc RA
Fibrotic ILD Assoc SLE
Fibrotic ILD Assoc Sys Scl
Sarcoidosis
Idiopathic BOOP
Chronic Cough
PAH
AAT Deficiency
Bronchitis - acute
Bronchiectasis
BPD
HPS
HistoplasmosisInfluenza
Legionellosis
LAM
Silicosis
Berylliosis
HP - Farmer's Lung
PneumoniaPE
RSV
Bronchiolitis
SIDS
Chronic sinusitis
Nasal polyposis
AR
NAR - Pure AR - Pure + Mixed
Peanut Allergy
Atopic dermatitis
COPD
Asthma
0
1
2
3
4
5
100 1,000 10,000 100,000 1,000,000 10,000,000 100,000,000
US Population Prevalence/Incidence (Log Scale)
Un
met
Nee
d I
nd
ex
Progressive, Fibrotic ILD (inc. IPF, NSIP, ILD Assoc CTDs - RA / SLE / Sys Scl)
Emergent science drives new disease opportunities
Lung repair
COPD, fibrotic lung diseases
(IPF, ILD, CF)
Neuronal mechanisms
Rhinitis, asthma, COPD,
cough
Immunomodulation
Asthma, allergic rhinitis
Core diseases Opportunities in “new” diseases featured in the business plan
Key emergent areas of
science
Changing Trends in Pharma/Biotech
Management consultants, automation and HR:
In the ‟90s consulting companies offered their services to Pharma.
– Robotics for screening 1,000,000 compounds/week.
– Combinatorial Chemistry.
– “me too” compounds.
The rise of Biotech:
Antibodies were validated as drugs, small innovative companies cash starved
therefore ripe for take over (could solve Pharma‟s pipeline problem). How do you
copy a biotech product (no generics).
Health Budgets are finite:
The amount paid for healthcare is no more than 15% of GDP
Drugs must offer value (NICE).
Biomedical innovation:
The last 50 years
• new technologies:
applied pharmacology – agonists and
antagonists
genetic engineering – therapeutic
proteins, imaging, arrays and antibodies
bioengineering advances – hips and
pacemakers
• but…
economic model is unsustainable
lacking productivity
US health reforms starting to bite
& we cannot focus only on “developed
nations”
Source: IMS MIDAS 2006 sales data, Total Pharmaceutical Market* Extrapolations from 2006 to 2020 based on IMS projection and % of 2006 sales
China,
$82B
India,
$44B
Russia,
$38B
Brazil,
$60B
Mexico,
$60B
Korea,
$66B
Turkey,
$52B
US, $276B
Europe,
$123B
US,
$364.18B
Europe,
$162.30B
$526.48B
$400B
$55B
Year: 2006 Year: 2020*
Assuming
2% growth
per year
Emerging Markets will outgrow Developed Markets by 2020
2020 Growth Profile:
BRIC countries, Mexico, South Korea &
Turkey
12-13% growth p.a
Total sales $400billion by 2020
Cf Mature markets (USA & Europe) low
single digit growth
GSK turnover growth in 2009 despite decline in US Pharma
US Pharma£9.2bn
EuropePharma£7.7bn
Rest of Pharma £2.2bn
2009 Turnover £28.4bn (+3%)
Emerging Markets Ph
£3.0bn
Japan Ph £1.6bn
Consumer £4.7bn US growth rate impacted by
losses to generics
+7%
+19%
+22%
+20%
+9%
-13%
CER growth rates
Rest of Pharma includes Stiefel sales of £248m
The Future for Pharma& Healthcare
The world today:
The population challenge
60% of the worlds population is in Asia
Cf. 5% of the world population in N.America
N.America currently purchase almost 40% of
the worlds Pharmaceuticals.
This is unsustainable
Possible game changers
looking out 20 years
• genomic medicine & epidemiology
• companion diagnostics
• pharmacogentics
• stem cell therapeutics
• synthetic biology
• nanotechnology
• bioengineering
• computational sciences
• digital pathology
• decision support systems
• medical imaging
• neurology
• infectious disease
• population (prevention)
• longevity (diabetes, neurological diseases,
cancer)
• cost of healthcare (price, volume, companion
diagnostics, efficacy)
• infectious disease (re-emergence of TB,
influenza, potential for vaccines and
therapeutics, drug resistance)
• counterfeiting
• understanding of genetics critical to human
medicine.
The changing face of
biological innovation
Iceland‟s Unique Offering:
University Hospital
The Icelandic Cancer Society
Icelandic Heart
Association
“Genetic correction of Prostate Specific
Antigen values using sequence variants
associated with PSA levels”
Gudmundsson et al, Science Translational Medicine 15th December 2010
The Future:
Increased emphasis on in silico analysis
Pulling disparate datasets together to create new knowledge
Genetic information
Species linkages – mouse, zebra fish, human
Spatial information – protein structures
Epidemiology
Screening data
Imaging data
Genomic medicine:
Treatment of metastatic malignant melanoma with selective
inhibitor of BRAF V600E (Plexxicon 4032)
Before 15 days after
Courtesy of Dr Grant McArthur
Academic - Pharma
Partnerships
Pharma
-Specific agonists &
antagonists
-- Biological reagents
Clinical academics
-Deeper understanding of
physiological & pathological
control mechanisms
Publications
Innovation through Partnership
Q: Why place Chemical Probes in the Public Domain?A: Potent and selective small molecules provide complimentary (if not better) target validation to genetic methods as evidenced by their scientific impact
Compound Receptor Papers Citations Years h-index g-index
GW1929 PPARg 317 11063 14 47 100
GW0742 PPARd 392 7212 10 41 78
GW4064 FXR 250 4482 8 37 61
SR12813 PXR 127 4628 8 33 67
GW9662 PPARg 528 4513 8 32 50
GW3965 LXR 181 3073 7 29 53
GW7647 PPARa 118 2312 7 22 47
CITCO CAR 73 711 5 14 24
Data compiled from Google Scholar, October 5, 2007
All compounds were made available by GSK to the Public Domain
through commercial suppliers (Sigma-Aldrich and Tocris)h-index: a metric of scientific impact, combining quality and quantity of citations
g index: a modification of the h-index with more weight on highly-cited articles
Discovery Partnerships in
Academia (DPAc)
Discovery Partnerships
with Academia
DPAc aims to leverage the unique expertise of both academia and industry...
Academia
• In depth biological insight
• Target and pathway expertise
• In vivo disease models
• Clinical disease insight
• Key opinion leaders
Industry
• Hit generation & assay development
• Medicinal chemistry
• Quantitative biology
• Preclinical development
• Integrated discovery & development
• Regulatory & commercial infrastructure
Discovery Partnerships
with Academia
GSK resource and expertise to progress project
Lead Identification
Late Lead Optimisation
Early Lead Optimisation
Assay Development
Target Feasibility
Medicinal chemistry and computational molecular design
Preclinical development(safety assessment, pharmacy, chemical development, DMPK)
Synthetic & analytical chemistry
Selectivity screening
Encoded Library technology>10million compounds
HTS capacity2 million compound set
Large scale protein production
Flexible, high tech assay platforms
PK-PD modelling
Discovery Partnerships
with Academia
DPAc focus on early drug discovery and future pathway options to launch
First dose human
Launch
GSK InternalProject
DPAc project can transition at
any stage but likely around CS
AcDPU SharedProject
P III start
Drug Discovery Initiated
Screen Initiated
Lead Identified
In vitro
Candidate Selection
Lead Identified
In vivo
DPAcShared Project
Lead ID
Late LO
Early LO
Assay Dev
Target Feasibility
PhaseI
Phase IIb
PhaseIIa
CS toFTIH
Registr-ation
PhaseIII
Target validation data
Some assays in place
Early molecules identified
Advanced assets identified
Discovery Partnerships
with Academia
Reagent generation
Activities shared between academics and GSK
Value research support & reward
Value of GSK contribution
Lead Identification
Late Lead Optimisation
Early Lead Optimisation
Assay Development
Target Feasibility
Drug Discovery Initiated
Screen Initiated
Lead identifiedin vitro
Candidate Selection
Lead identifiedin vivo
3-6 mths 9-12 mths 9-12 mths 9-12 mths 9-12 mths
£
Physiological assays
Typical GSK activities
Assay feasibilityTool generation
Assay developmentScreeningChemistry
ScreeningChemistryDMPK
Assay development
ChemistryDMPKSafetyPharmacy
Typical academic activities
Physiological assaysIn vitro and in vivo
Physiological assaysIn vivo models
£ ££ £££ £££
£ £ £ £ ££+ downstream development milestones and/or royalty
Discovery Partnerships
with Academia
Therapeutic hypothesis
Coherent and supportable hypothesis that modulation of target will produce an effect expected to be of therapeutic benefit
Target definedSpecific drug target identified, with some understanding of type of
pharmacology desired
(Exclusive) enabling expertise
Academic partner has know-how, experience, expertise essential to progressing the target which is not (readily) found elsewhere
TractabilityA path to identification of a drug molecule can be defined
Target knowledge suggests that a drug-like molecule can be generated
Requirement for GSK contribution
GSK has capability which will help progress to the next milestone
DPAc looks for leading academics working on a target or pathway with high therapeutic potential
DPAc Partnership Criteria
Conclusions:
GSK are keen to promote a more open culture for sharing ideas & data
Traditional relationships between Academia and Industry are being re-defined
Access to public funding will drive areas of science underpinning the Pharma industry
Innovative partnership models allow both GSK & academics better access to science & technology
Thanks for listening
We are looking for
innovation wherever
it may originate
Discovery Partnerships
with Academia
DPAc is a differentiated approach to translating innovative academic research
What DPAc is not……What DPAc is………
Fixed term research funding
Pulling projects into industry away from academics
Funding of exploratory research
Milestone aligned resourcing
The opportunity for academics to collaborate in drug discovery
Access to GSK’s expertise and resource in early drug discovery
Discovery Partnerships
with Academia
...looks for innovative academic science…that may ultimately deliver
differentiated medicines
from across multiple
therapeutic areas
...integrates with academic groups…to provide resource and
expertise to undertake
early drug discovery in
partnership with
academics
...delivers quality development candidates…through milestone
driven collaborations, that can then progress through the GSK organisation
DPAc offers a new approach to collaborative drug discovery
Discovery Partnerships
with Academia……..
GSK profile of current
global collaborations
GSK have more academic collaborations than
any other UK company (all sectors)
GSK – UK Academic Research Partners
BirminghamCambridge
Southampton
EdinburghGlasgow
Cardiff
Dundee
Sheffield
Leicester
GSK currently has >500
active research collaborations
ongoing with UK Universities.
Two way exchange of knowledge &
technology
Newcastle
Durham
Leeds
Ulster
Belfast
YorkHull
NottinghamLoughborough
Warwick
ManchesterLiverpool
BuckinghamOxfordReading
HertfordshireEssex
Canterbury
BrightonPortsmouth
SurreyBristol
Exeter
Bath
LancasterBradford
Cranfield Ipswich
Country No.
Austria 1
Belgium 4
Denmark 4
France 16
Germany 21
Greece 1
Ireland 10
Italy 4
Netherlands 4
Norway 2
Spain 4
Sweden 4
Switzerland 15
EUROPEAN ACTIVE AGREEMENTS BY COUNTRY
Spain
Portugal
UK
Iceland
Ireland
Germany
France
Switzerland
Italy
Austria
Belgium
Holland
Norway
Sweden
Denmark
Lux
Poland
Czech R.
Hungary
SloveniaCroatia
Corsica
Sardinia
Sicily
Bosnia & Herz
Slovakia
Serbia
Albania
Greece
Macedonia
Bulgaria
Romania
Ukraine
BelarusRussia
Lithuania
Latvia
Estonia
Finland
Russia
Moldova
Turkey
Crete
GSK Agreements by State
AL
NY (10)
NC (20)MD (19)
PA (19)
MA (15)
CA (9)
MI (6)
TX (7)
CO(3)
GA( 2)
WA(3)
OR
MO (4)
NE IA
FL
TN
NJ(2)
VA(3)
DE
1 Agreement
CT(3)
AZ
January 2008-April 2010
North Carolina NC
Maryland MD
Pennsylvania PA
Massachusetts MA
New York NY
California CA
Texas TX
Michigan MI
Missouri MO
Colorado CO
Connecticut CT
Virginia VA
Washington WA
Georgia GA
New Jersey NJ
Alabama AL
Arizona AZ
Delaware DE
Florida FL
Iowa IA
Nebraska NE
Oregon OR
Tennessee TN
4-9 Agreements
2-3 Agreements
19-20 Agreements
10-18 Agreements
GSK Academic Spend 2009
0
500000
1000000
1500000
2000000
2500000
3000000
GSK funding to Harvard in 2009 was >£9m
£0
£1.000.000
£2.000.000
£3.000.000
£4.000.000
£5.000.000
£6.000.000
£7.000.000
£8.000.000
£9.000.000
£10.000.000
Immune Disease Institute,
Harvard Stem Cell Institute,
MGH,
Dana Farber Cancer Institute,
Brighams & Womens,
MIT
How large Corporates are
changing their business models
to embrace Open Innovation
Data Sharing Agreements
GSK have collected bloods from clinical trials for
more than a decade
Genetic analysis on cohorts of >20,000 patients
Need to combine datasets with other well
phenotyped collections to find significant trends
e.g MRC £500k + GSK £500kNick Wareham (University of Cambridge) Obesity/Diabetes
Peter McGuffin (KCL) Bipolar disorder
Developing Chemical Probes for Epigenetics
Chemistry @ GSK
No structures disclosed
Assays @ Oxford
X-ray @ Oxford
Data to GSK
Chemical Probe
Public
Domain
Structures disclosed
1–5 Compounds meeting probe
criteria for potency and selectivity:
e.g. Potency <100nM, Selectivity
>100, Cellular activity <1uM
*
*Only GSK scientists can
view data with compound
structures
Sigma make
probe available
Pharmaceutical
Industry
Public
Domain
GSK-WT-SGC
Partnership
Chemical
Tractability
Chemistry (GSK)
Screening (WT-NIH)
Structure (SGC)
Chemical
Probes
No restrictions
on use or
publication
Enable Academic
Target Validation
Drug
Discovery
Proprietary Target Validation
(Re)Screening
Lead optimization
Pharmacology
DMPK
Toxicology
Chemical development
Clinical development
A future model for Drug Discovery?Wellcome Trust Epigenetics Collaboration
Open Access Proprietary
The realities of having the best pipeline
0.0x 0.1x 0.2x 0.3x 0.4x 0.5x 0.6x 0.7x
Lehman Brothers PharmaPipelines (Sept 2007)
Pharma Replacement Power – NPV
Pipeline renews
60% of sales
LB Method: [NPV of recent launches (06-07) + NPV of pipeline opportunities from „08-‟13] / NPV of products marketed before 2006.
GlaxoSmithKlineMerck
Bristol Myers Squibb
Novartis
Johnson & Johnson
Sanofi-Aventis
AstraZeneca
Pfizer
Wyeth
Eli Lilly
Roche
Abbott Labs
Schering Plough
AVERAGE
Science base attracts R&D spend
0
10
20
30
40
50
60
UK market UK R&D US market US R&D
UK/US Global PharmaMarket share & World R&D spend
2.46%
37.64%
•Global Pharma sector
MRC
TSB
Basic researchPrototypediscovery
and design
Pre-clinicaldevelopment
Earlyclinical
trials
Lateclinical
trials
Developmental PathwayFunding Scheme
Developmental Clinical Studies
Targeted initiatives to alleviate bottlenecks
Infrastructure/Resources
Methodology
Training
Continued commitment to
basic lab, clinical and population research
Capacity building
NIHR
Translational Stem Cell Research Programme
Translational Research Support
MRC translational activities
Developmental Pathway Funding Scheme (DPFS)
Cornerstone of the MRC‟s Translational Strategy
Launched at end of April 2008
Planned expenditure of at least £25m over next 3 years
– Guidance of £250k-750k; 1-2 years per project
– Will consider larger scale proposals where justified
Projects do not need to originate from MRC funded research
Goal oriented rather than hypothesis-led
Funding is milestone-based
– Projects will be required to submit quarterly and
milestones progress reports
– Failure to meet a milestone may result in funding being
terminated
Scope of the DPFS
Examples of proposals:
– validating an association between a fundamental
discovery & a preventive, diagnostic or disease process
(target validation)
– developing candidate therapeutic entities - from
discovery up to early evaluation in humans
– developing candidate diagnostics or medical devices -
from prototype design up to early evaluation in humans
– developing a new research tool to overcome a
bottleneck in the development of therapies or diagnostics
Drug Development Costs Escalate
MRC
TSB
Basic researchPrototypediscovery
and design
Pre-clinicaldevelopment
Earlyclinical
trials
Lateclinical
trials
Developmental PathwayFunding Scheme
Developmental Clinical Studies
Targeted initiatives to alleviate bottlenecks
Infrastructure/Resources
Methodology
Training
Continued commitment to
basic lab, clinical and population research
Capacity building
NIHR
Translational Stem Cell Research Programme
Translational Research Support
MRC translational activities
Developmental Pathway Funding Scheme
(DPFS)
• Cornerstone of the MRC’s Translational Strategy
• Launched at end of April 2008
• Planned expenditure of at least £25m over next 3 years
– Guidance of £250k-750k; 1-2 years per project
– Will consider larger scale proposals where justified
• Projects do not need to originate from MRC funded
research
• Goal oriented rather than hypothesis-led
• Funding is milestone-based
– Projects will be required to submit quarterly and milestones
progress reports
– Failure to meet a milestone may result in funding being
terminated
Scope of the DPFS
– validating an association between a fundamental
discovery & a preventive, diagnostic or disease
process (target validation)
– developing candidate therapeutic entities - from
discovery up to early evaluation in humans
– developing candidate diagnostics or medical
devices from prototype design up to early evaluation
in humans
– developing a new research tool to overcome a
bottleneck in the development of therapies or
diagnostics
MRC Industrial Collaboration Applications
(MICAs)
• MICAs are aimed at encouraging &
supporting collaborative research projects
between academic researchers & industry
• The key feature of this scheme is its
flexibility, especially the level & nature of
the industry contribution
MRC Industrial Collaboration Applications (MICAs)
MICAs are aimed at encouraging & supporting collaborative
research projects between academic researchers & industry
The key feature of this scheme is its flexibility, especially the
level & nature of the industry contribution
Without patents there would be no innovation
Given the costs & risks of drug development, without a period
of exclusivity against copyists there would be no investment
in pharmaceutical innovation
Pharma do not seek therapeutic area exclusivity (anti-virals,
antibiotics)
Patent protection promotes
therapeutic & innovative competition
Changing Landscape of I.P
More small companies owning & licensing basic IP
Many companies not in manufacturing, only generating technology/IP
More patent aggregators, who take on patents from universities & small companies
Patents used as bargaining chips