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Molecular DevelopmentMolecular Development2121stst Century Pharmaceuticals Century Pharmaceuticals
Joseph M. Palma, MD, MPH, CPEInstitute of Defense Analyses
March 29, 2007
[email protected]@ida.org
E-Coli Transcription Regulatory NetworkBarabasi, Albert-Lazlo, et al. Network Biology: Understanding the Cell’s Functional Organization, Nature Reviews, Genetics. 2004 Feb;5:101-113; and Aggregation of topological motifs in the E. coli transcriptional regulatory network, Dobrin, Q. K. Beg, A.-L. Barabasi, Z. N. Oltvai, BMC Bioinformatics 5, 10 (2004).
Networks
Global Regulators And Their Regulated Operons And Functions In The Regulatory Network Of E. Coli
Global Regulator
Directly Regulated Operons
Total Regulated Operons
Modules Regulated
Function
IHF 21 39 15 integration host factor
CspA 2 24 5 Cold shock protein
CRP 72 112 21 cAMP receptor protein
FNR 22 38 16anaerobic regulator, regulatory gene for nitrite and
nitrate reductases, fumarate reductase
HNS 7 22 5DNA-binding global regulator; involved in chromosome
organization; preferentially binds bent DNA
OmpR 6 20 3Response regulator for osmoregulation; regulates
production of membrane proteins
RpoN 12 17 4 RNA polymerase sigma 54 subunit
RpoS 14 24 8 stationary phase sigma factor
ArcA 20 21 6Response regulator protein represses aerobic genes under anaerobic growth conditions and activates some anaerobic
genes
NarL 13 15 5Two-component regulator protein for nitrate/nitrite
response
Radu Dorbin et al, BMC Bioinformatics. 2004; 5: 199
E-ColiTranscription Regulatory Network
Radu Dorbin, et al, BMC Bioinformatics. 2004; 5: 199
E-ColiTranscription Regulatory Network
BMC Bioinformatics. 2004; 5: 199
Meds
Outline
• Background
• Status
• Strategy
• Challenges
• System Issues
• Insights
• Considerations
Background
• Broad Spectrum Countermeasures against Emerging and Bioengineered Agents
Status
• Development System• Traditionally One-Bug:One Drug
• New Strategic Directioin– Network Based Pharmaceuticals
• One Drug:Multiple Bugs• Strategy Alignment• Resources and Needs
Relevant Competencies• Research and Technology Centers of Excellence:
– World Class Laboratories
• Research and Technology Centers of Excellence• Advanced Product Development• Pharmaceutical and FDA Regulatory Depth & Expertise
– Human and Animal Protection– Long-Standing FDA Regulatory Interface
• Technical Expertise and Depth
– Logistics• Extensive Legal, Acquisition & Procurement Expertise
– Information, Informatics and Bioinformatics– Innovation
Strategy• Components
– Characterization of the host-pathogen interaction– Diagnostics and Therapeutics– Preventive Measures– Information Systems and Bioinformatics
• Challenges– Innovation– Technical– Pharmaceutical– Industrial– Oversight
Orchestrating
Trends Documentation
Orchestration Execution
Metrics
Technology,Bioinformatics,
KnowledgeDevelopment
& Management
Accountability
Reporting
Information
Timelines
The Strategy
Challenges
• Pharmaceutical Development Challenges– Radiological, Biological, Chemical Network Similarities– Human Disease States Likely Share Networks– Portfolios: Current vs Orthogonal
• Technology Development• Knowledge Development and Integration
– Information and Bioinformatics
• Product Development• Competencies• Integration of Network Development
Current Process
Production & Deployment
Project Scope
Vac
cine
PostLaunch Review
Milestone CNDA/BLA filing
Phase IIIMilestone B Proof of Concept
Approach CandidateSelection
Milestone AFirst in Human
BLAApproval,Launch
Product Requirements
Candidate Downselect
Diseaserequirements FilePhase IIIPhase IIPhase IPreclinical
CandidateDiscovery
ApproachDefinition
CandidateOptimization
System Development & Demonstration
IOC
Technology Development
FOCProgram Initiation
Concept Refinement
A B C
Launch
Operations & Support
Pha
rmac
eutic
al
Postlaunch review
Milestone CNDA/BLA filing
Commit to Phase III
Milestone B Proof of Concept
Committo target
CandidateSelection
Milestone AFirst in human
NDAApproval,Launch
Commit to product type
Lead Selection
Disease/Target FamilySelection
FilePhase IIIPhase IIPhase IPreclinicalLead
GenerationTarget ID/Validation
LeadOptimization
System Development & Demonstration
IOC
Technology Development
FOCProgram Initiation
Concept Refinement
A B C
Launch LifecycleManagement
Production & Deployment
Operations & Support
Portfolio
s
TargetIdentified Evaluate
Target
DevelopProjectCharter
No Go orRevise Charter
Proceedto Pre-IND
Studies
EstablishDP1 G/NG
Criteria
DiscoverLead Ab
Candidates
In VitroPOC
TestingTargetSelected
SelectInitial
mAb(s)
EstablishDP2 G/NG
CriteriaTissueProfiling(Norm,
Dis)
In VivoPOC
Testing inDiseaseModels
SelectCandidate
mAb(s)
EstablishDP3 G/NG
Criteria
In-Depth Pharmacology,PK/PD, Prelim Safety &
Toxicity, Identify/QualifyBiomarkers
Initiate CMC Activities(Cell Line, Process Dvmt)
EstablishIND G/NGCriteria
Mkt & CompetitionAnalysis
Establish PK/PD &Toxicity Levels,Biomarker Dvmt
Establish CDP &G/NG Criteria
CMC Activities(Process Dvmt, Mfg)
File IND &Start Ph I
Proceedto Ph II
Proceedto Ph III
Prepare&
File BLA
Initiate Mkting &Commercial
Activities
BLASubmitted
CommercialReadiness
SiteInspection
PMSReadiness
FDAApproval
LaunchProduct
ProductLaunched
DP0 DP1
No Go orRevise TPP
No Go orRevise TPP
No Go orRevise TPP
No Go orRevise TPP
DP2
DP3
Phase IClinical Trial(s)(Safety, PK/PD)
Phase IIClinical Trial(s)
(Safety, PK/PD, Efficacy)
Phase IIIClinical Trial(s)
(Safety, Efficacy)
CMC Activities(Process Dvmt,Mfg Scale-up)
Mfg Process/Formul/Presen
FixedNo Go or
Revise TPPNo Go or
Revise TPPNo Go or
Revise TPP
IND
AssembleTarget
AssessmentTeam Create
TPP(s)
FormProjectTeam
A Snapshot of the Industry Pharmaceutical Process
TPP= Target Product Profile
DP = Decision Point
Portfolio
s
Candidates
M E T R I C SDECISIONS
Current Industry View
Adapted from information provided by Pfizer Pharmaceuticals, Inc
Pharmaceutical Process
DiscoveryDiscovery
Exploratory DevelopmentExploratory Development
Full Development
RegistrationRegistration
Project TeamProject Teamand Plansand Plans
Project TeamProject Teamand Plansand Plans
SynthesisSynthesis of Compoundsof Compounds
SynthesisSynthesis of Compoundsof Compounds ScreeningScreeningScreeningScreening
Studies in HealthyStudies in HealthyVolunteers (Phase I)Volunteers (Phase I)Studies in HealthyStudies in Healthy
Volunteers (Phase I)Volunteers (Phase I)
Early SafetyEarly SafetyStudiesStudies
Early SafetyEarly SafetyStudiesStudies
CandidatesCandidatesCandidatesCandidatesFormulationsFormulations
DevelopedDevelopedFormulationsFormulations
DevelopedDeveloped
Extensive Safety Studies
Extensive Safety Studies
NDANDA
Studies in 100-300Studies in 100-300
Patients (Phase Patients (Phase II)II)Studies in 100-300Studies in 100-300
Patients (Phase Patients (Phase II)II)
Clinical Data Clinical Data AnalysisAnalysis
Clinical Data Clinical Data AnalysisAnalysis
Candidate Medicine Tested inCandidate Medicine Tested in3-10,000 Patients (Phase III)3-10,000 Patients (Phase III)
Candidate Medicine Tested inCandidate Medicine Tested in3-10,000 Patients (Phase III)3-10,000 Patients (Phase III)
Large Amounts of Large Amounts of Candidate Medicine Candidate Medicine
SynthesizedSynthesized
Large Amounts of Large Amounts of Candidate Medicine Candidate Medicine
SynthesizedSynthesized
Meds
Rework& Optimize
Rework& Optimize
START
Rework& Optimize
CandidateCandidateDevelopmentDevelopment
Portfolio
s
Pha
rmac
eutic
al
Postlaunch review
Milestone CNDA/BLA filing
Commit to Phase III
Milestone B Proof of Concept
Committo target
CandidateSelection
Milestone AFirst in human
NDAApproval,Launch
Commit to product type
Lead Selection
Disease/Target FamilySelection
FilePhase IIIPhase IIPhase IPreclinicalLeadGeneration
Target ID/Validation
LeadOptimization
System Development & Demonstration
IOCTechnology
Development
FOCProgram Initiation
Concept Refinement
A B C
Launch LifecycleManagement
Production & Deployment
Operations & Support
Optimize
Network Development
One Product or Multi-componentCocktails
Requirements
Several Genomic Candidates & Technologies
Def
ine
KE
Y N
etw
ork
Co
mp
on
ents
Tes
KE
Y t
Net
wo
rk C
om
po
nen
ts
Val
idat
e T
arg
ets
and
Tes
t V
ario
us
Ap
pro
ach
es
Several Proteomic Candidates & Technologies
Several Small Molecule Candidates & Technologies
Several Metabolic Candidates & Technologies
Hu
man
Tes
t A
ll C
and
idat
es
Sel
ect
the
Bes
t &
/or
Inte
gra
te m
ult
ico
mp
on
ent
Sel
ect
Can
did
ates
&
Ap
pro
ach
es
Approaches
CandidatesSelected
CandidatesOptimized
Phase ISmall Human Test
Milestone B Phase IIPhase III
(File NDA) Approved PostLaunch Reviews
E-IND
INDMilestone A
Develop one or More Network-SpecificCountermeasures and Determine on
Integration into a “Cocktail”
Optimize
Optimize
Multiple Approachesare Matured &
Multiple Drug CandidatesManufactured
FDA ENGAGED THROUGHOUT
Current
Milestone C
“Very Dynamic”Portfolio
sENTERPRISE-WIDE OVERSIGHT & METRICS THROUGHOUT
MASSIVELY PARALLELAND
ORTHOGONAL DEVELOPMENTNetwork Network
Orthogonal
Points
1
2
3
4
5
6
PROCESS ANALYSIS TECHNOLOGY METRICS
Orthogonal Reviews
Genomics
Proteomics
Immunologic
Metabolomics
Pre-Clinical
E-IND Phase I
2 3
Devel
opm
ent
Decis
ions
MEDS
IND
Portfolio
s
Summary of DifferencesCurrent Approach Network Development
Requirements Characterize Pathogen (sequences, key proteins, virulence factors, Antigen immunogenicity…) Identify protein family, targets, validate role in disease.
Characterize NetworkNetwork (Establlish network type<hierarchy, free scale, random>), Illustrate mechanism of pathogenic action and key network nodes, as well asas well as sequencing, character of key proteins, virulence factors, potential targets, etc, as in Stage Gate.
Approach/Leads Determine vaccine platform approaches or identify lead candidates
Determine critical nodes, validate targets, identify candidate molecules and platforms for development, identify lead candidates against nodes & validate the nodes, identify all relevant development technologies, & select orthogonally.
Candidate Discovery
Understand the biological and chemical character of molecules or vaccine components to be optimized.
Characterize the Network components that are shared and their biology and chemistry, as well as uni or multi component potential formulations. Establish animal models/FDA engagement/correlates of efficacy. Make orthogonal decisions.
Optimization Candidate activity characterized; assays developed, toxicity and PK studies done, structure of the compound is optimized.
Multiple candidates undergo similar studies and work. 2 animal rule is tested. Multiple candidates are tested by themselves and in combinations against mutliple nodes. Orthogonal decisions.
Candidate Selection
Pre-clinical toxicology, immunogenicity, dose ranging, formulation studies and PK studies done. IND material is prepared as is the IND application.
Similar but for multiple candidates. E-IND/IND materials and applications are prepared. Reviews and decisions are ORTHOGONAL.
Phase I Human testing in 10-20 healthy volunteers for safety/toxicity, ADME, PK. Metabolites.
E-IND: Human testing under tailored protocol (possibly microdosing) for toxicity with candidates (as one and/or multicomponent formulation(s). Optimal formulation(s) is(are) advanced to IND at different doses, and undergo ADMET, PK, Metabolite testing; and 2-Animal testing for efficacy/or correlates. Also there is human testing in other infectious diseases for “broad spectrum” activity and effects. Advancement decisions are orthogonal.
Phase II Traditional human testing in larger number of volunteers with the disease.
2-animal rule testing for biodefense – animal numbers to be determined with the FDA. Human volunteers with infectious diseases treated under protocols for broad spectrum activity.
Phase III Traditional large trials in humans with the disease. 2-animal rule testing for biodefense – animal numbers to be determined with the FDA. Human volunteers with infectious diseases treated under protocols for broad spectrum activity.
Phase IV Traditional post-launch Studies Increased monitoring of human adverse events.
Portfolio
s
I n t e g r a t i n g D e c i s i o n sfor the Multiple Network Projects
Portfolio
sOperations and Support
Concept Development
Discovery
Production and Deployment
Production
Continued FDA
Market
Thrust Area LeaderDisc. PTL Development PTL
Process Scale-up
Phase II & III
Ongoing Reviews
2 Animal Rule/SurrogatesTo INDA
EUAIND
Network
CANDIDATES
Technology Development4 years
System Development & Demonstration 3-4 years
Thrust Area LeaderDiscovery Lead
Industry Partner
NDA
•Academia•Industry
Idea
Proposal
Phase IConfirmation of
Profiles
Leads Req for Dev
Network Discovery
E-IND
FDA Review
Development Lead
Discovery & Early Development
FORMULATIONSMANUFACTURING
Integrating Oversight
Industry Partner PTL
System Issues
Technology
• Knowledge– Network Knowledge-Base Development– Skills in Innovation, Research, Clinical Research, Network
Formulations, Development, Manufacture, FDA, Quality Assurance, Oversight of Integrated Effort
– Polyvalent Technologies: Knowledge Enhancement
• Associated Skills– Animal Models and Surrogate Development– GLP/cGMP/Pilot Lot Production Capabilities– Expertise in “FULL SPECTRUM” Pharma Development– Expertise in “FULL-SCALE” Manufacturing– Strategic Business Development: Industry, Academia,
Orchestrated International Integration
Knowledge and Information
• Integrating Knowledge and Information– Bioinformatics
• Dynamic Understanding of Networks• Knowledge Development and Application to Development
– Multiscience and Multidiscipline• Valuation of Orthogonal Analyses of Multiple Projects• Detailed Analysis of Scientific Endeavors• Status and Maturity of Each Technology• Project Stage of Development• Judgments on Manufacturing and Production• Process and Programmatic Reviews
– Business, Legal and IP, Contracting with Partners
Product Development
• Scale-up– Network-Based Pharmaceuticals
• “Broad Spectrum”– Evaluation for non-Biodefense Applications
• Production Platforms– Genomics, Proteomics, Immunologics, Metabolomics– Cells, Plants, Animals, “eggs”, Protein Scaffolds,
Alternatives• Oversight of Projects & Integration Across Projects
– Internal Cognitive Excellence vs– Reliance on External Experience
Competencies
• Comprehensive Development– Research through Development to Licensure and Patient
• Pharmaceutical Process “in detail”– Multiple Scientific Pathways– Multicomponent Pharmaceuticals
• Robust Post-Licensure Studies
– Broad Spectrum Endeavors– Infectious Diseases: Common Networks– Network Commonalities:
• Biological, Chemical, Radiological• Human Disease States
– Knowledge Development and Information Management– FDA Critical Paths, 2 Animal Rule, Licensure of Network
Pharmaceuticals
Insights• Need Broad Spectrum Development Enterprise
– Grounded in Science, Medicine and Pharmaceutical Development – “Broad Spectrum” Testing to other Infectious Diseases– May Require Multicomponent Pharmaceutical Initiative
• Core Competencies Resident in the Organization – Do they Align?• Cross-Cutting Integration of Information Systems
– Knowledge Development; Bioinformatics; Information and Knowledge Management
• Pharmaceutical Requirements Not Focused on Network Development– Implement Orthogonal Development Strategy– Develop Detailed Expertise in “The Science” under Development
• In Detail: “at the bench” and “all the way to the bottle and patient”– Integrate “Other Government,” Industry, Academia, International Partners
• Decision Processes Not Necessarily Positioned to Adapt to Network Development– Infuse Milestone Decision Process with Scientific, Medical and Pharmaceutical Judgment
• Recognize Multiple Technical Challenges– Identify Required Intellectual and Institutional (Scientific, Medical, Pharmaceutical and Programmatic Review
Infrastructure) Capital
• Structural Challenges Exist– Integration of Expertise– Establish Scientific Oversight of Network Development
• Incorporate Scientifically Driven Orthogonal Reviews for Development Decisions
– Identify Network-Based Pilot Production Capability• Consider Review of National Infrastructure Requirements as DoD Contributes Capability
– Identify Competences to Integrate all Network Research into Focused Product Development
Considerations
Strategic
• Integrated Strategic Oversight– Integrate Science into Network Decision Making
• Process Management & Control– Orthogonal Reviews
• Scientific > Pharmaceutical > Medical > Programmatic– Tiered Metrics Drive Funding Decisions
• Technical Review and Judgment Body – Senior Body• Funding Plans for Integration of Insights & Solutions
• Collaborations: – National, Intl, Govt/Industry/Academia, Consortia Opportunities
• Inject Innovation Throughout
System
• Broad Spectrum Pharmaceutical Enterprise– Network Biology
• Knowledge & Information Development & Management Activity– Develop &/or Recruit Necessary Competencies
• Orthogonal Pharmaceutical Process & Decisions– Scientific>Pharmaceutical>Medical>Programmatic
• Scientific and Process “Network” Metrics– Chem, Biol, PK/PD, Safety, Toxicity, Biomarkers, Formulation
• FDA Innovation: Critical Path, 2-Animal Rule, e-IND & PAT• Infrastructure: Partnerships
– National, Government, International, Academia, Capital
• Quantify Infrastructure Requirements
Process• Link Milestones to Scientific Evolution:
– Infuse Scientific, Medical and Pharmaceutical Judgment Throughout – Will Likely be Different for Each Project
• Network Characterization = Key Characteristics (KC)– Based on Understanding of Key “Network” Components– Structure KCs to Link to Clinical Outcomes at Earliest Opportunity
• Orthogonal Development– Establish “Cross-Cutting” Technically Competent Project Teams
• Discovery, Optimization and Development• Metrics:
– Establish Scientific Through Programmatic Metrics Tied to pre-Clinical Decision Points, and to Key Decisions in Clinical Development
– Establish Process Analytical Technologies Program with Metrics• Establish Expert Oversight Capability
– Internal or Consultant– Approach: 1. Various Scientific Endeavors
2. Multiple Candidates Under Development 3. FDA Critical Path Discussions
• E-IND: Tests in Humans• IND and Milestone A: Dynamic• Phase I: After E-IND Finished and IND Filed
Organizational Considerations• Pharmaceutical: Incorporate Network Development
– Bioinformatics for Network Development– Orthogonal Portfolio Review
• Decision Process - Base on Scientific Validation at:– 1. Implementation of E-IND– 2. Development After E-IND– 3: Decisive Development post IND– 4: Pre-Licensure– 5: Process Analytical Technologies Metrics
• Quantify Institutional and Intellectual Requirements– Establish Manufacturing Capability: At Least for Network Enterprise– Organize Competencies: Innovation Organization; Network Expertise;
Network Animal/Surrogate Studies, Biodefense Campus Integration