Our recently developed predoctoral training program in pharmacology and systems biology prepares students to become experts in systems-level models of disease that identify therapeutic targets and predict adverse effects or new uses of existing therapeutics. Multiple computational modeling modes are introduced throughout a curriculum that integrates basic cell and molecular sciences with the physiology and pathophysiology of disease states. Problem-based learning exercises enable students from different experimental and computational backgrounds to design experiments and interpret data quantitatively.
%0 Journal Article
%1 Sobie2010Training
%A Sobie, E. A.
%A Jenkins, S. L.
%A Iyengar, R.
%A Krulwich, T. A.
%D 2010
%J Clinical pharmacology and therapeutics
%K pharmacology systems-biology
%N 1
%P 19--22
%R 10.1038/clpt.2010.41
%T Training in systems pharmacology: predoctoral program in pharmacology and systems biology at Mount Sinai School of Medicine.
%U http://dx.doi.org/10.1038/clpt.2010.41
%V 88
%X Our recently developed predoctoral training program in pharmacology and systems biology prepares students to become experts in systems-level models of disease that identify therapeutic targets and predict adverse effects or new uses of existing therapeutics. Multiple computational modeling modes are introduced throughout a curriculum that integrates basic cell and molecular sciences with the physiology and pathophysiology of disease states. Problem-based learning exercises enable students from different experimental and computational backgrounds to design experiments and interpret data quantitatively.
@article{Sobie2010Training,
abstract = {Our recently developed predoctoral training program in pharmacology and systems biology prepares students to become experts in systems-level models of disease that identify therapeutic targets and predict adverse effects or new uses of existing therapeutics. Multiple computational modeling modes are introduced throughout a curriculum that integrates basic cell and molecular sciences with the physiology and pathophysiology of disease states. Problem-based learning exercises enable students from different experimental and computational backgrounds to design experiments and interpret data quantitatively.},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Sobie, E. A. and Jenkins, S. L. and Iyengar, R. and Krulwich, T. A.},
biburl = {https://www.bibsonomy.org/bibtex/2d9ca3daecad280a94ece0a23b5274cdd/karthikraman},
citeulike-article-id = {7355646},
citeulike-linkout-0 = {http://dx.doi.org/10.1038/clpt.2010.41},
citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/20562890},
citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=20562890},
doi = {10.1038/clpt.2010.41},
interhash = {3fa23c77170aea7286763fe872ad37ce},
intrahash = {d9ca3daecad280a94ece0a23b5274cdd},
issn = {1532-6535},
journal = {Clinical pharmacology and therapeutics},
keywords = {pharmacology systems-biology},
month = jul,
number = 1,
pages = {19--22},
pmid = {20562890},
posted-at = {2010-06-24 08:15:10},
priority = {2},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {Training in systems pharmacology: predoctoral program in pharmacology and systems biology at Mount Sinai School of Medicine.},
url = {http://dx.doi.org/10.1038/clpt.2010.41},
volume = 88,
year = 2010
}