Seth I Berger

Summary

Affiliation: Mount Sinai School of Medicine
Country: USA

Publications

  1. pmc Systematic analysis of the effect of multiple templates on the accuracy of comparative models of protein structure
    Suvobrata Chakravarty
    Department of Structural and Chemical Biology, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, NY 10029, USA
    BMC Struct Biol 8:31. 2008
  2. pmc Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases
    Seth I Berger
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, 10029, New York, USA
    BMC Bioinformatics 8:372. 2007
  3. pmc SNAVI: Desktop application for analysis and visualization of large-scale signaling networks
    AVI MA'AYAN
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    BMC Syst Biol 3:10. 2009
  4. pmc Systems pharmacology of arrhythmias
    Seth I Berger
    Department of Pharmacology and Systems Therapeutics and Systems Biology Center New York, Mount Sinai School of Medicine, One Gustave L Levy Place, Box 1215, New York, NY 10029, USA
    Sci Signal 3:ra30. 2010
  5. pmc AVIS: AJAX viewer of interactive signaling networks
    Seth I Berger
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, 1425 Madison Avenue, New York 10029, USA
    Bioinformatics 23:2803-5. 2007
  6. pmc Network analyses in systems pharmacology
    Seth I Berger
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, One Gustave Levy Place, New York, NY 10029, USA
    Bioinformatics 25:2466-72. 2009
  7. pmc Role of systems pharmacology in understanding drug adverse events
    Seth I Berger
    Department of Pharmacology and Systems Biology Center New York, Mount Sinai School of Medicine, New York, NY, USA
    Wiley Interdiscip Rev Syst Biol Med 3:129-35. 2011
  8. pmc ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments
    Alexander Lachmann
    Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York SBCNY, Mount Sinai School of Medicine, One Gustave Levy Place, New York, NY 10029, USA
    Bioinformatics 26:2438-44. 2010
  9. pmc Systems pharmacology and genome medicine: a future perspective
    Aislyn D Wist
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, One Gustave Levy Place, New York, NY 10029, USA
    Genome Med 1:11. 2009

Collaborators

Detail Information

Publications9

  1. pmc Systematic analysis of the effect of multiple templates on the accuracy of comparative models of protein structure
    Suvobrata Chakravarty
    Department of Structural and Chemical Biology, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, NY 10029, USA
    BMC Struct Biol 8:31. 2008
    ....
  2. pmc Genes2Networks: connecting lists of gene symbols using mammalian protein interactions databases
    Seth I Berger
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, 1425 Madison Avenue, New York, 10029, New York, USA
    BMC Bioinformatics 8:372. 2007
    ....
  3. pmc SNAVI: Desktop application for analysis and visualization of large-scale signaling networks
    AVI MA'AYAN
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA
    BMC Syst Biol 3:10. 2009
    ..The emergence of large-scale signaling networks provides an opportunity for topological statistical analysis while visualization of such networks represents a challenge...
  4. pmc Systems pharmacology of arrhythmias
    Seth I Berger
    Department of Pharmacology and Systems Therapeutics and Systems Biology Center New York, Mount Sinai School of Medicine, One Gustave L Levy Place, Box 1215, New York, NY 10029, USA
    Sci Signal 3:ra30. 2010
    ....
  5. pmc AVIS: AJAX viewer of interactive signaling networks
    Seth I Berger
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, 1425 Madison Avenue, New York 10029, USA
    Bioinformatics 23:2803-5. 2007
    ..Simple web-based visualization tools can allow for improved data presentation and collaboration. Researchers studying cell signaling would benefit from having the ability to embed dynamic cell signaling maps in web pages...
  6. pmc Network analyses in systems pharmacology
    Seth I Berger
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, One Gustave Levy Place, New York, NY 10029, USA
    Bioinformatics 25:2466-72. 2009
    ..Taken together, these types of analyses can lead to new therapeutic options while improving the safety and efficacy of existing medications...
  7. pmc Role of systems pharmacology in understanding drug adverse events
    Seth I Berger
    Department of Pharmacology and Systems Biology Center New York, Mount Sinai School of Medicine, New York, NY, USA
    Wiley Interdiscip Rev Syst Biol Med 3:129-35. 2011
    ..This allows rapid identification of biomarkers for side effect susceptibility. In this way, systems pharmacology will lead to not only newer and more effective therapies, but safer medications with fewer side effects...
  8. pmc ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments
    Alexander Lachmann
    Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York SBCNY, Mount Sinai School of Medicine, One Gustave Levy Place, New York, NY 10029, USA
    Bioinformatics 26:2438-44. 2010
    ..Such experiments provide hundreds to thousands of potential binding sites for a given transcription factor in proximity to gene coding regions...
  9. pmc Systems pharmacology and genome medicine: a future perspective
    Aislyn D Wist
    Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, One Gustave Levy Place, New York, NY 10029, USA
    Genome Med 1:11. 2009
    ..The interface of the two fields will enable drug discovery for personalized medicine. Here we provide a perspective on the questions and approaches that drive the development of these new interrelated fields...