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Pharmacology Training Programs in the Future. Major Accomplishments in Pharmacology and Impact of other disciplines. (partly from ASPET’s “Significant events in Pharmacology”). 1978 - Discovery of G proteins - biochemistry 1981-1983 - ANP - physiology/biochemistry
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Pharmacology Training Programs in the Future
Major Accomplishments in Pharmacology and Impact of other disciplines. (partly from ASPET’s “Significant events in Pharmacology”) 1978 - Discovery of G proteins - biochemistry 1981-1983 - ANP - physiology/biochemistry 1988 - ANP receptor Guanylyl Cyclase - biochem/mol. biology 1987 - Zidovudine effective against HIV - virology/immunology Late 80’s to 90’s - Structures of G proteins (ras, Gi, Gs, G) biochem/structural biol 1997 - structure of adenylyl cyclase - biochem/structural biol 2000 - structure of rhodopsin (GPCR) - biochem/structural biol 90’s - current - transgenics and knock outs - genetics/mol. biol./physiol/pathology.
Systems Biology Mathematical Modeling Pharmacogenomics Molecular Biology Biochemistry Cell Biology Chemistry Immunology Microbiology Physiology Structural Biology Genetics Proteomics Astrophysics Pharmacology
Pharmacology Students/Postdocs Other (writing Patent law, etc) Industry Academia Govt. (CDC NIH, etc.) Administration Science (R&D) Teaching
Needs on curriculum: How much do we teach? • What do we teach? • More Biochemistry? Proteomics? • Systems Biology/ Computational Biology (Mathematical • Modeling)? - Collaborations with biology/math depts. • joint programs? • Small molecule screens? (interactions with industry) • Intellectual Property and Patenting? (ditto) • More genomics/genetics? • Structure based inhibitors/activators? Structural Biology? • Administration? Ph.D/MBA programs?
Enhance the translational side of research Collaborations with Clinicians (co-mentors/committee members) - insights into clinical trials Collaborations/Partership with Industry (scholarships/fellowships) Co-mentors in Industry? Advantages: Learn hands-on the processes that contribute to drug development - analyses of clinical trial data Gain insights into the nuances of how Industry works - from data books, proprietary rights, to research priorities. Make informed decisions about careers in industry. Hurdles: Time away from primary lab Delay in publications! Commitment on part of industry? - investment?