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PATKI 1
Industry –Academia
Collaboration
For
Research
PATKI 2
MEDINSPIRE
Industry –Academia
Partnership
PATKI 3
MEDINSPIRE
ESSENTIAL ?
COSMETIC !
NICE TO HAVE…..
Why it is essential ?
• Best hope for Novel therapeutics
• Shared collaborations is successful.
• Historical evidence ?
• Corticosteroids in COPD
• Nobel prize- Philips Hench-Mayo
Taden Reichstein-Basal Univ, Lew Sarrett-Merck
• SM-Walksman-Rutger Univ. George Merck- 1952
PATKI 4
Why Nice to have ?
• Unmet patient needs
• Contribution to public health –
• Any one or both
• Effective partnership !
• Recognition
PATKI 5
Why it can be Cosmetic ?
• Industry-
• Self sufficient
• Requirements –different
• Contract is difficult
• Secrecy anxiety
• Intellectual property
• TIME CONSTRAINTS
• Academia
• Apathy to applied
• Comfort zone- T/R
• Restrictive environment
• Academic rules and
regulations
• Lack of incentives
PATKI 6
Constraints
Academia
• Wary of industry
• Drug discovery- serendipity
• Drugability-
• Feeding and appetite ?
• Quality control job ?
• Tests for products ?
• Useful for academic
excellence ?
• Appreciation Vs
Apprehension
Industry
• Wary of academia
• At the cost of basic
research?
• Academic freedom !
• Is the target drugable ?
The target validated ?
• Contract model. Cost ?
• 95% failure rate
PATKI 7
GOALS
Academia
• Knowledge,
understanding of
mechanisms
• N M E
• Grant and support
• PUBLICATIONS
•
Industry
• Informatics
• New avenues, profits
• NEW Product
• New strategies
• Patenting
PATKI 8
NEW BIOLOGICAL,CLINICAL TRIALS
Translating complementarity
PATKI 9
Drug discovery is not for the FAINT hearted
Clinician
PATKI 10
SLOW , PATIENCE
PATKI 11
COLLABORATION POSSIBILITY
PATKI 12
CDD Vault is a lifesaver. We really needed a
way to capture the data we were creating and be
able share and analyze it — before we were
capturing data on spreadsheets.“
MALCOLM KENDALL President & CEO,
Indel Therapeutics, Inc.
PATKI 13
Win Win situation
Public & drug .
And Collaboration
• Drug as ENTITLEMENT
• Drug as High tech product
• Late surprises- Torcetrapib, HDL KING
• 15 Years of drug development
• CVS
• Public liability
PATKI 14
BALANCING
Situation also demands
collaboration
60%0f biomedical research and
development is now privately
funded and some academics have
equity ties !
PATKI 15
• Derivative medications
• Molecular modifications
• Follow up drugs
• Esomeprazole Omeprazole
PATKI 16
COLLABORATION,,,,,,,,,,,
• Unstated expectations- source of
conflict
• Dialogue
• State requirements clearly
• I need X , Now Y, Z
• Honesty in collaborators
PATKI 17
Requirements
• Academia-Money- support, payments,
staff.Resources utilization- access to
machinery, methods, materials.
• Data mining.
• Industry- Hits to leads, New
biologicals/ antibodies
• Safe and effective, Holy grain of
computational approach.
PATKI 18
PATKI 19
PATKI 20
Intricacies
Step By Step
• Academic mission- Interaction with
industry and healthcare.
• Medical needs !-Why particular entity is
needed, which category of patients.
• Examples
• Potential drug- Preclinical care, Data-
solubility, permeability, DRS.
• Teacher exemption law- Scientist owning
discovery. Bayh-Dole act.
PATKI 21
FURTHER STEPS IN
COLLABORATION
• Time frame (urgency and accuracy)
• Company decision maker
• Legal aspects, signing mutual goals
• Faculty sabbatical in industry
• Chair professor
• Visiting faculty
• Students internship
PATKI 22
More steps
• Setting up teams with clarity
• PROJECT MANAGER and his spread
sheet
• Discovery-Potential targets notification
• Bioinformatics and functional genome –
clarity
• Disease model ,Monitoring the progress
• Clinicals PATKI 23
Recent success stories
• Prof Cohen. Univ.Dundee.
• Cancer chemo
• First systematic assay to analyse
Kinase inhibition selectivity
• New molecules- kinase inhibitors
• Prof. Dowes-Signal transduction
therapy
• Kinase modulators, phosphatase
modulators.
PATKI 24
Theory ?Our Experience
• HD03ES- Hep B
• Random screening of plants,Cyperus rotundus and
scariosus.
• University of Madras –Dr Thyagarajan ,
Dr. Elachezhiyan, Cell line studies, Supernatant
assay, Duck model assay. JSS Mysore. Clinicals –
MAMC, MMC.
• IM133N. Immunomodulation in Cancer .
• NCB 03- Ulcerative colitis
PATKI 25
ACADEMIA
Regain, Reignite
Biomedical innovation
PATKI 26
JEWISH WEDDING DANCE
PATKI 27
Funding
agencies
PATKI 28
Funded centers
 Academic drug discovery
consortium
 Medical research council
technology
 Cancer research technology
 CD3- Centre for drug discovery
design
PATKI
29
Industrial academic wish
 Can we find a drug that will have
desired effect against targets
 Does modulation of target protein
affect the course of the disease
 Does this project make sense
economically ?
 Exiting gracefully if goals diverge!
PATKI
30
Most effective drugs today
PATKI 31
Advances
in basic
biology
Technolog
y
Academia
Pharma-
ProductBuild
on expertiseEarly drug
discovery
Chasing innovation
• Academia are well suited. Early work,
• Target discovery
• Target validation
• AI
• Phenotype screening
• Organ on a chip- Human cell
microchips.
PATKI 32
Indian scenario
• National policy –Science and
technology.
• Innovation strategies
• NIPERS, AIIMS, PGI. KEM. KGMC, Etc
• Collaboration reports- 120 different
entities
• Global innovation index-
PATKI 33
PATKI 34
Thank you
PATKI 35

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Academia industry collaboration in research

  • 4. Why it is essential ? • Best hope for Novel therapeutics • Shared collaborations is successful. • Historical evidence ? • Corticosteroids in COPD • Nobel prize- Philips Hench-Mayo Taden Reichstein-Basal Univ, Lew Sarrett-Merck • SM-Walksman-Rutger Univ. George Merck- 1952 PATKI 4
  • 5. Why Nice to have ? • Unmet patient needs • Contribution to public health – • Any one or both • Effective partnership ! • Recognition PATKI 5
  • 6. Why it can be Cosmetic ? • Industry- • Self sufficient • Requirements –different • Contract is difficult • Secrecy anxiety • Intellectual property • TIME CONSTRAINTS • Academia • Apathy to applied • Comfort zone- T/R • Restrictive environment • Academic rules and regulations • Lack of incentives PATKI 6
  • 7. Constraints Academia • Wary of industry • Drug discovery- serendipity • Drugability- • Feeding and appetite ? • Quality control job ? • Tests for products ? • Useful for academic excellence ? • Appreciation Vs Apprehension Industry • Wary of academia • At the cost of basic research? • Academic freedom ! • Is the target drugable ? The target validated ? • Contract model. Cost ? • 95% failure rate PATKI 7
  • 8. GOALS Academia • Knowledge, understanding of mechanisms • N M E • Grant and support • PUBLICATIONS • Industry • Informatics • New avenues, profits • NEW Product • New strategies • Patenting PATKI 8 NEW BIOLOGICAL,CLINICAL TRIALS Translating complementarity
  • 9. PATKI 9 Drug discovery is not for the FAINT hearted Clinician
  • 10. PATKI 10 SLOW , PATIENCE
  • 12. PATKI 12 CDD Vault is a lifesaver. We really needed a way to capture the data we were creating and be able share and analyze it — before we were capturing data on spreadsheets.“ MALCOLM KENDALL President & CEO, Indel Therapeutics, Inc.
  • 13. PATKI 13 Win Win situation
  • 14. Public & drug . And Collaboration • Drug as ENTITLEMENT • Drug as High tech product • Late surprises- Torcetrapib, HDL KING • 15 Years of drug development • CVS • Public liability PATKI 14 BALANCING
  • 15. Situation also demands collaboration 60%0f biomedical research and development is now privately funded and some academics have equity ties ! PATKI 15
  • 16. • Derivative medications • Molecular modifications • Follow up drugs • Esomeprazole Omeprazole PATKI 16
  • 17. COLLABORATION,,,,,,,,,,, • Unstated expectations- source of conflict • Dialogue • State requirements clearly • I need X , Now Y, Z • Honesty in collaborators PATKI 17
  • 18. Requirements • Academia-Money- support, payments, staff.Resources utilization- access to machinery, methods, materials. • Data mining. • Industry- Hits to leads, New biologicals/ antibodies • Safe and effective, Holy grain of computational approach. PATKI 18
  • 21. Step By Step • Academic mission- Interaction with industry and healthcare. • Medical needs !-Why particular entity is needed, which category of patients. • Examples • Potential drug- Preclinical care, Data- solubility, permeability, DRS. • Teacher exemption law- Scientist owning discovery. Bayh-Dole act. PATKI 21
  • 22. FURTHER STEPS IN COLLABORATION • Time frame (urgency and accuracy) • Company decision maker • Legal aspects, signing mutual goals • Faculty sabbatical in industry • Chair professor • Visiting faculty • Students internship PATKI 22
  • 23. More steps • Setting up teams with clarity • PROJECT MANAGER and his spread sheet • Discovery-Potential targets notification • Bioinformatics and functional genome – clarity • Disease model ,Monitoring the progress • Clinicals PATKI 23
  • 24. Recent success stories • Prof Cohen. Univ.Dundee. • Cancer chemo • First systematic assay to analyse Kinase inhibition selectivity • New molecules- kinase inhibitors • Prof. Dowes-Signal transduction therapy • Kinase modulators, phosphatase modulators. PATKI 24
  • 25. Theory ?Our Experience • HD03ES- Hep B • Random screening of plants,Cyperus rotundus and scariosus. • University of Madras –Dr Thyagarajan , Dr. Elachezhiyan, Cell line studies, Supernatant assay, Duck model assay. JSS Mysore. Clinicals – MAMC, MMC. • IM133N. Immunomodulation in Cancer . • NCB 03- Ulcerative colitis PATKI 25
  • 29. Funded centers  Academic drug discovery consortium  Medical research council technology  Cancer research technology  CD3- Centre for drug discovery design PATKI 29
  • 30. Industrial academic wish  Can we find a drug that will have desired effect against targets  Does modulation of target protein affect the course of the disease  Does this project make sense economically ?  Exiting gracefully if goals diverge! PATKI 30
  • 31. Most effective drugs today PATKI 31 Advances in basic biology Technolog y Academia Pharma- ProductBuild on expertiseEarly drug discovery
  • 32. Chasing innovation • Academia are well suited. Early work, • Target discovery • Target validation • AI • Phenotype screening • Organ on a chip- Human cell microchips. PATKI 32
  • 33. Indian scenario • National policy –Science and technology. • Innovation strategies • NIPERS, AIIMS, PGI. KEM. KGMC, Etc • Collaboration reports- 120 different entities • Global innovation index- PATKI 33