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Berg_04_04.ppt
1. Jeremy M. Berg
National Institute of General Medical Sciences
April 30, 2004
NIGMS and the NIH
Roadmap for Medical
Research
2. Challenges for NIH
Revolutionary and rapid changes in science
Increasing breadth of mission and growth
Complex organization with many units
(27 institutes and centers, multiple program offices,
e.g., OWHR, OAR, ORD, ...)
Structured by disease, organ, life stage, disciplines
Rapid convergence of science
3. U.S. Health Expenditures
(Percentage of GDP)
18
16
14
12
10
1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Year
Percent
Actual
Projected
4. Imperatives for NIH
Accelerate pace of discoveries in life
sciences
Translate research more rapidly from
laboratories to patients and back
Explore novel approaches orders of
magnitude more effective than current
Develop new strategies: NIH Roadmap
5. How was the Roadmap developed?
Extensive consultations with stakeholders,
scientists, health care providers
What are today’s scientific challenges?
What are the roadblocks to progress?
What do we need to do to overcome
roadblocks?
6. What is the NIH Roadmap?
A framework of priorities the NIH as a
whole must address in order to optimize its
entire research portfolio.
A vision for a more efficient, innovative
and productive system of biomedical and
behavioral research.
A set of initiatives that are central to
extending the quality of healthy life for
people in this country and around the world.
7. NIH Roadmap for Medical Research
New Pathways
to Discovery
Re-engineering the
Clinical Research Enterprise
Research Teams
of the Future
NIH
8. The Biological Data of the Future
Destructive
Qualitative
Uni-dimensional
Low temporal resolution
Low data density
Variable standards
Non cumulative
Non-destructive
Quantitative
Multi-dimensional and
spatially resolved
High Temporal
resolution
High data density
Stricter standards
Cumulative
9. Multi- and Interdisciplinary Research will be
Required to Solve the “Puzzle” of Complex
Diseases and Conditions
Genes
Behavior
Diet/Nutrition
Infectious agents
Environment
Society
???
10. Bench Bedside Practice
Building Blocks
Pathways
Molecular Libraries
Bioinformatics and
Computational
Biology
Structural Biology
Nanomedicine
Translational
Research
Initiatives
Clinical
Research
Informatics
Integrated Research
Networks
Clinical outcomes
Training
National Clinical Research
Associates
Interdisciplinary Research
Pioneer Award
Nanomedicine
Public Private
Partnerships
NIH Roadmap Strategy
12. Key elements of Roadmap funding
and management
All Institutes:
Participate with their scientific community in defining all components of the
Roadmap
Contribute equally and proportionately
Participate directly in decision making and have a direct liaison to the Roadmap
All Roadmap initiatives are offered for competition to researchers
from all fields
All research communities can compete for all initiatives
The peer-review process will ensure appropriate expertise
13. Roadmap Funding
dollars in millions
New Pathways
to Discovery
Re-engineering the Clinical
Research Enterprise
Research Teams
of the Future
NIH
$64.1
$26.6 $37.6
FY 2004 Funding = $128.3 (dollars in millions)
14. Roadmap Funding
dollars in millions
FY04 FY05 FY06 FY07 FY08 FY09 Total
Pathways to
Discovery
64 137 169 182 209 188 948
Research
Teams
27 39 44 92 96 93 390
Clinical
Research
38 61 120 174 214 227 833
Total 128 237 332 448 520 507 2,172
To be competed for in a common pool
of initiatives by all researchers from every discipline
0.34% 0.63% ~0.9%
15. Molecular Library and Imaging
Francis Collins, NHGRI
Tom Insel, NIMH
Rod Pettigrew, NIBIB
Building Blocks and Pathways
Francis Collins,NHGRI
Richard Hodes, NIA
T-K Li, NIAAA
Allen Spiegel, NIDDK
Structural Biology
Jeremy Berg, NIGMS
Paul Sieving, NEI
Bioinformatics and Computational Biology
Jeremy Berg, NIGMS
Don Lindberg, NLM
Nanomedicine
Jeffery Schloss, NHGRI
Paul Sieving, NEI
NEW PATHWAYS TO DISCOVERY
Working Group and Co-Chairs
16. New Pathways to Discovery
Molecular Libraries and Imaging
Building Blocks, Biological Pathways and Networks
Structural Biology
Bioinformatics and Computational Biology
Nanomedicine
17. Three recent developments make
small molecule/chemical genomics
initiatives feasible
Human
Genome
Project
Availability of
targets
Robotic
Technology
Availability of
screening
Public sector screening
and chemistry initiative
Modern
Synthetic
Chemistry
Availability of
compounds
Compound
Collections
18. Molecular Libraries:
Putting Chemistry to Work for
Medicine
Six national screening centers for small
molecules
Public database for “chemical genomics”
Technology advances in combinatorial
chemistry, robotics, virtual screening
19. Collaborative Pipeline of a
NIH Chemical Genomics Center
Investigator
Customized
Assay
Screen
Probe picking, confirmation,
secondary screens
Probe List
Limited
MedChem
Compound
Repository
Cheminformatics,
PubChem
(NCBI)
Assay
Peer
review
20. Molecular Imaging Roadmap
Components
Development of high resolution probes for cellular
imaging
RFA issued in 2004
http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-
04-001.html
Development of an imaging probe database
In process, with links to PubChem
Core synthesis facility to produce imaging probes
Efforts to establish an intramural facility are
underway
21. New Pathways to Discovery
Molecular Libraries and Imaging
Building Blocks, Biological Pathways and Networks
Structural Biology
Bioinformatics and Computational Biology
Nanomedicine
22. Structural Biology
Initiative: Centers for Innovation in
Membrane Protein Production
Applications due March 11, 2004
$5M FY2004 Roadmap funding (~2 Centers,
P50 Mechanism)
23. Centers for Innovation in Membrane
Protein Production
Many physiologically and pharmaceutically
important proteins are membrane proteins
Few membrane proteins structures known
All eukaryotic membrane protein structures
determined to date have been from proteins derived
from naturally rich sources
Detergents and other agents required for
solubilization and crystallization
Development of methods for the production of
structurally and functionally intact membrane
proteins for subsequent structural studies
24.
0
2
4
6
8
10
12
14
16
1960 1970 1980 1990 2000
number
of
structures
year
water-soluble proteins
membrane proteins
progress in membrane protein structure determinations
parallels that of water-soluble proteins with a ~25 year offset
B.W. Matthews Ann. Rev. Phys.
Chem. 27, 493 (1976)
http://www.mpibp-frankfurt.pg.de/
michel/public/memprotstruct.html
Courtesy of Doug Rees, Caltech
25. Structural Biology Roadmap Plans
Wide range of structural biology programs
throughout NIH (intramural and extramural)
Synchrotron sources supported by DOE, NIH
(NCRR, NCI, NIGMS), and others
NMR instrumentation supported (NCRR, NIGMS)
Protein Structure Initiative-Network of Centers
devoted to structural genomics
Roadmap initiatives will be used to provide
integration of these programs
27. Protein Structure Initiative (PSI)
PSI Pilot phase
Nine research centers funded 2000-2001
Pilots to examine the best strategies
Methodology and technology development
Construction of structural genomics pipeline
and automation of all steps
Increases in efficiency and success rates and
lower costs
Production of unique protein structures
29. PSI Goals
To make the three-dimensional atomic level structures of
most proteins easily available from knowledge of their
corresponding DNA sequences
Information on function
Value of comparisons of protein structures
Key biochemical and biophysical problems
Protein folding, prediction, folds, evolution
Other benefits to biologists
Methodology and technology developments
Structural biology facilities
Availability of reagents and materials
Experimental outcome data on protein production and
crystallization
30. PSI Policies
Deposition and release of coordinates in PDB
upon completion
Public listing of targets and progress
Results on PSI webpage and all center websites
Technical workshops: protein production and
crystallization; data management; target
selection; comparative modeling; structural
determination
Repository for materials -- clones, reagents,
samples
Databases: PDB, TargetDB, PepcDB
Administrative supplements to R01s for
functional studies of PSI structures
31. PSI technology and methodology
Robotic systems for cloning, expression, purification,
characterization, crystallization, data collection, sample
changers
Automated structure determination
LIMS
Developments: Solubility engineering, capillary
crystallization, auto-inducing media, cell-free protein
production, domain parsing, protein-pair discovery,
expression vectors, disorder predictions and methods,
direct crystallography
32. Research Centers
Structures determined: 403 in first three
years (doubling each year)
Unique structures: 70% for PSI (10% for
PDB)
New folds: 12% for PSI (3% for PDB)
Average costs per structure –
decreasing significantly (<$240K)
34. PROTEIN PRODUCTION
4th Generation System
In use since Dec, 2000
PROTEIN PURIFICATION
3rd Generation System
In use since March, 2002
CRYSTALLIZATION
2nd Generation System
In use since Feb., 2001
NANOVOLUME
CRYSTALLIZATION
Established, May 1998
IMAGING
1st Generation Hardware
6th Generation Software
Technology Status – Gene to Structure
HT Data Collection
1st Generation System
3rd Generation Software
Ian A. Wilson, Scripps Research Institute, P50 GM062411
35. WR41
Structures analyzed with
automated NMR analysis
software developed by NESG
C-TmZip
ER14
MMP-1
IL13
FGF-2
WR90
WR64
LC8
ER115
N-TmZip
JR19
ZR18
OP3
WR33
ZR31 ER75
Z-domain
IR24 Gaetano T. Montelione, P50 GM062413
36. MJ0882
Sequence inference: No molecular or cellular function
Structural inference: Methyl transferase
Biochemical assay: Methyl transferease
TM841
Sequence inference: No molecular or cellular function
Structural inference: Fatty acid binding protein
Sequence inference: No molecular or cellular function
Weak Ham1 homology
Structural inference: Nucleotide binding protein (weak)
Biochem. and complementation assay: Nucleotide
housekeeping
Samples of Structure-based discovery of function (BSGC)
MJ0577
Sequence inference: No molecular or cellular function
Structural inference: ATPase or Molecular switch
Biochemical assay: Molecular switch
Sung-Hou Kim, P50 GM062412
37. PSI Pilot Phase -- Lessons Learned
1. Structural genomics pipelines can be constructed
and scaled-up
2. High throughput operation works for many
proteins
3. Genomic approach works for structures
4. Bottlenecks remain for some proteins
5. A coordinated, 5-year target selection policy must
be developed
6. Homology modeling methods need improvement
38. PSI-2 Large-scale Centers Goals
Increase the number of sequence families that
have at least one experimental structure
Increase the number of sequenced genes for
which homology models can be built
Increase the biomedical significance of the
structures
Requires 4-6,000 unique experimental structures
39. PSI-2 Production Phase (2005)
Interacting network with three or four components
Large-scale centers
Specialized centers for technology development
for challenging proteins
Disease-targeted structural genomics centers
(pending)
Knowledge Base (future)
Cooperative agreements
Affiliated with the NIH Structural Biology Roadmap
40. PSI-2 Large-scale Centers
High throughput structure output
Continued technology and methodology
development
High throughput operation of all pipeline
tasks
Provisions for sharing facilities with the
scientific community
GM-05-001
41. PSI-2 Specialized Centers
Methodology and technology development for
challenging proteins
Membrane proteins
Higher eukaryote proteins, especially human
Small protein complexes
Other major bottlenecks to high throughput
Major impact and applicability to PSI goals
Leading toward high throughput operation
GM-05-002
42. PSI-2 Disease-targeted Structural
Genomics Centers (pending)
Protein structures from pathogens and from
tissues and organ systems related to disease
Member of the PSI network
Under consideration by the NIH Structural
Biology Roadmap
44. New Pathways to Discovery
Molecular Libraries and Imaging
Building Blocks, Biological Pathways and Networks
Structural Biology
Bioinformatics and Computational Biology
Nanomedicine
45. Bioinformatics and Computational
Biology
Initiative: National Centers for Biomedical
Computing
Applications received January 23, 2004
$12M FY2004 Roadmap funding (~4
Centers, U54 Mechanism)
46. National Centers for Biomedical
Computing
Partnerships of:
Computer scientists
Biomedical computational scientists
Experimental and clinical biomedical and behavioral
researchers
Focused on software rather than hardware
Each National Center to have Driving Biological
Projects
Open source requirement
Programs in preparation for partnerships between
individual investigators and National Centers
47. RESEARCH TEAMS OF THE FUTURE
Working Groups and Co-Chairs
Interdisciplinary Research
Patricia Grady, NINR
Ken Olden, NIEHS
Larry Tabak, NIDCR
High-risk Research
Ellie Ehrenfeld, NIAID
Stephen Straus, NCCAM
Public-Private Partnerships
Andy von Eschenbach, NCI
Richard Hodes, NIA
48. Multi- and Interdisciplinary Research
A
B
common problem
Work on
A
B
C
A
B
Multidisciplinary
Interdisciplinary
Interaction
forges new discipline
49. Challenges to Interdisciplinary Research
The current system of academic advancement favors
the independent investigator
Most institutions house scientists in discrete
departments
Interdisciplinary science requires interdisciplinary
peer-review
Project management and oversight is currently
performed by discrete ICs
Interdisciplinary research teams take time to
assemble and require unique resources
50. NIH Director’s Pioneer Award
• New program to support individuals with untested,
potentially groundbreaking ideas!
• Encourages innovation, risk-taking
• Totally new application and peer review process
• Expected to be highly competitive
• Expanded eligibility – (not only traditional biomedical
investigators)
• Provides $500,000/year for 5 years
51. RE-ENGINEERING THE CLINICAL
RESEARCH ENTERPRISE
Working Groups and Co-Chairs
Co-Chairs
Stephen Katz, NIAMS
Stephen E. Straus, NCCAM
Subgroups
Harmonization of Clinical Research Regulatory Processes
Amy Patterson, OSP
Integration of Clinical Research Networks, including NECTAR
Larry Friedman, NHLBI
Stephen Katz, NIAMS
Enhance Clinical Research Workforce Training
Duane Alexander, NICHD
Rob Star, NIDDK
Enabling Technologies for Improved Assessment of Clinical Outcomes
Deborah Ader, NIAMS
Larry Fine, OBSSR
Stephen Katz, NIAMS
Regional Translational Research Centers
Stephen E. Straus, NCCAM
Steve Zalcman, NIMH
Translational Research Service Cores
Josephine Briggs, NIDDK
Stephen E. Straus, NCCAM
52. Clinical Research:
Navigating the Roadway
Clinical research impeded by
multiple and variable
requirements to address
fundamentally the same
oversight concerns
Variability among and within
agencies
Creates uncertainty
about how to
comply
Hampers efficiency
and effectiveness