Literature DB >> 20562890

Training in systems pharmacology: predoctoral program in pharmacology and systems biology at Mount Sinai School of Medicine.

E A Sobie1, S L Jenkins, R Iyengar, T A Krulwich.   

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.

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Year:  2010        PMID: 20562890      PMCID: PMC3037798          DOI: 10.1038/clpt.2010.41

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  6 in total

1.  Introductory science and mathematics education for 21st-Century biologists.

Authors:  William Bialek; David Botstein
Journal:  Science       Date:  2004-02-06       Impact factor: 47.728

Review 2.  Primer on medical genomics. Part XIV: Introduction to systems biology--a new approach to understanding disease and treatment.

Authors:  Nicole M Morel; Joanne M Holland; Jan van der Greef; Edward W Marple; Clary Clish; Joseph Loscalzo; Stephen Naylor
Journal:  Mayo Clin Proc       Date:  2004-05       Impact factor: 7.616

3.  What IS training in the Pharmacological Sciences?

Authors:  Peter C Preusch
Journal:  Mol Interv       Date:  2002-09

4.  Inquiry learning. Integrating content detail and critical reasoning by peer review.

Authors:  Ravi Iyengar; Maria A Diverse-Pierluissi; Sherry L Jenkins; Andrew M Chan; Lakshmi A Devi; Eric A Sobie; Adrian T Ting; Daniel C Weinstein
Journal:  Science       Date:  2008-02-29       Impact factor: 47.728

Review 5.  Network analyses in systems pharmacology.

Authors:  Seth I Berger; Ravi Iyengar
Journal:  Bioinformatics       Date:  2009-07-30       Impact factor: 6.937

6.  Systems pharmacology and genome medicine: a future perspective.

Authors:  Aislyn D Wist; Seth I Berger; Ravi Iyengar
Journal:  Genome Med       Date:  2009-01-22       Impact factor: 11.117

  6 in total
  4 in total

Review 1.  Systems biology--biomedical modeling.

Authors:  Eric A Sobie; Young-Seon Lee; Sherry L Jenkins; Ravi Iyengar
Journal:  Sci Signal       Date:  2011-09-06       Impact factor: 8.192

2.  NIH Support for the Emergence of Quantitative and Systems Pharmacology.

Authors:  M Rogers; P Lyster; R Okita
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-04-10

3.  The grand challenge for integrative and regenerative pharmacology.

Authors:  George J Christ; Alex F Chen
Journal:  Front Pharmacol       Date:  2011-02-14       Impact factor: 5.810

Review 4.  Preclinical QSP Modeling in the Pharmaceutical Industry: An IQ Consortium Survey Examining the Current Landscape.

Authors:  Marjoleen J M A Nijsen; Fan Wu; Loveleena Bansal; Erica Bradshaw-Pierce; Jason R Chan; Bianca M Liederer; Jerome T Mettetal; Patricia Schroeder; Edgar Schuck; Alice Tsai; Christine Xu; Anjaneya Chimalakonda; Kha Le; Mark Penney; Brian Topp; Akihiro Yamada; Mary E Spilker
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2018-02-01
  4 in total

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