Max Kotlyar

Summary

Affiliation: University of Toronto
Country: Canada

Publications

  1. doi request reprint Network-based characterization of drug-regulated genes, drug targets, and toxicity
    Max Kotlyar
    The Campbell Family Institute for Cancer Research, Ontario Cancer Institute, University Health Network, IBM Life Sciences Discovery Centre, Toronto Medical Discovery Tower, 9 305, 101 College Street, Toronto, Ontario, M5G 1L7, Canada
    Methods 57:499-507. 2012
  2. doi request reprint The mammalian-membrane two-hybrid assay (MaMTH) for probing membrane-protein interactions in human cells
    Julia Petschnigg
    Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
    Nat Methods 11:585-92. 2014
  3. pmc Prioritizing therapeutics for lung cancer: an integrative meta-analysis of cancer gene signatures and chemogenomic data
    Kristen Fortney
    Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
    PLoS Comput Biol 11:e1004068. 2015
  4. doi request reprint In silico drug screen in mouse liver identifies candidate calorie restriction mimetics
    Kristen Fortney
    Department of Medical Biophysics, University of Toronto, Ontario, Canada
    Rejuvenation Res 15:148-52. 2012
  5. doi request reprint CHIP-MYTH: a novel interactive proteomics method for the assessment of agonist-dependent interactions of the human β₂-adrenergic receptor
    Saranya Kittanakom
    Donnelly Centre, University of Toronto, Ontario, Canada
    Biochem Biophys Res Commun 445:746-56. 2014
  6. doi request reprint Integration, visualization and analysis of human interactome
    Chiara Pastrello
    Princess Margaret Cancer Centre, University Health Network and TECHNA Institute for the Advancement of Technology for Health, TMDT, Room 11 314, 101 College Street, Toronto, ON M5G 1L7, Canada
    Biochem Biophys Res Commun 445:757-73. 2014
  7. pmc NetwoRx: connecting drugs to networks and phenotypes in Saccharomyces cerevisiae
    Kristen Fortney
    Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 2M9, Canada
    Nucleic Acids Res 41:D720-7. 2013
  8. pmc Integrated interactions database: tissue-specific view of the human and model organism interactomes
    Max Kotlyar
    Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 1L7, Canada
    Nucleic Acids Res 44:D536-41. 2016
  9. pmc Fundamentals of protein interaction network mapping
    Jamie Snider
    Donnelly Centre, Department of Biochemistry, Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
    Mol Syst Biol 11:848. 2015
  10. pmc Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging
    Kristen Fortney
    Department of Medical Biophysics, University of Toronto, 610 University Avenue, Toronto, M5G 2M9, Canada
    Genome Biol 11:R13. 2010

Collaborators

Detail Information

Publications13

  1. doi request reprint Network-based characterization of drug-regulated genes, drug targets, and toxicity
    Max Kotlyar
    The Campbell Family Institute for Cancer Research, Ontario Cancer Institute, University Health Network, IBM Life Sciences Discovery Centre, Toronto Medical Discovery Tower, 9 305, 101 College Street, Toronto, Ontario, M5G 1L7, Canada
    Methods 57:499-507. 2012
    ..Finally, network centrality of a drug's differentially regulated genes correlated significantly with drug toxicity...
  2. doi request reprint The mammalian-membrane two-hybrid assay (MaMTH) for probing membrane-protein interactions in human cells
    Julia Petschnigg
    Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
    Nat Methods 11:585-92. 2014
    ..MaMTH is a powerful tool for investigating the dynamic interactomes of human integral membrane proteins. ..
  3. pmc Prioritizing therapeutics for lung cancer: an integrative meta-analysis of cancer gene signatures and chemogenomic data
    Kristen Fortney
    Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
    PLoS Comput Biol 11:e1004068. 2015
    ..Our meta-analysis pipeline is general, and applicable to any disease context; it can be applied to improve the results of signature-based drug repurposing by leveraging the large number of disease signatures in the public domain. ..
  4. doi request reprint In silico drug screen in mouse liver identifies candidate calorie restriction mimetics
    Kristen Fortney
    Department of Medical Biophysics, University of Toronto, Ontario, Canada
    Rejuvenation Res 15:148-52. 2012
    ..Here we integrate these data with gene expression signatures of CR in mouse liver to generate a prioritized list of candidate CR mimetics. We identify 14 drugs that reproduce the effects of CR at the transcriptional level...
  5. doi request reprint CHIP-MYTH: a novel interactive proteomics method for the assessment of agonist-dependent interactions of the human β₂-adrenergic receptor
    Saranya Kittanakom
    Donnelly Centre, University of Toronto, Ontario, Canada
    Biochem Biophys Res Commun 445:746-56. 2014
    ....
  6. doi request reprint Integration, visualization and analysis of human interactome
    Chiara Pastrello
    Princess Margaret Cancer Centre, University Health Network and TECHNA Institute for the Advancement of Technology for Health, TMDT, Room 11 314, 101 College Street, Toronto, ON M5G 1L7, Canada
    Biochem Biophys Res Commun 445:757-73. 2014
    ..Finally, we present an example integration to demonstrate the value of the network approach in cancer research, and highlight the importance of dynamic data in the specific context of signaling pathways...
  7. pmc NetwoRx: connecting drugs to networks and phenotypes in Saccharomyces cerevisiae
    Kristen Fortney
    Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 2M9, Canada
    Nucleic Acids Res 41:D720-7. 2013
    ..We demonstrate with use case examples how NetwoRx can be applied to target specific phenotypes, repurpose drugs using mode of action analysis, investigate bipartite networks and predict new drugs that affect yeast aging...
  8. pmc Integrated interactions database: tissue-specific view of the human and model organism interactomes
    Max Kotlyar
    Princess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 1L7, Canada
    Nucleic Acids Res 44:D536-41. 2016
    ..IID is available at http://ophid.utoronto.ca/iid. ..
  9. pmc Fundamentals of protein interaction network mapping
    Jamie Snider
    Donnelly Centre, Department of Biochemistry, Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
    Mol Syst Biol 11:848. 2015
    ..We hope that this review serves as both a useful overview of the field and a guide to help more scientists actively employ these powerful approaches in their research. ..
  10. pmc Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging
    Kristen Fortney
    Department of Medical Biophysics, University of Toronto, 610 University Avenue, Toronto, M5G 2M9, Canada
    Genome Biol 11:R13. 2010
    ..We apply these modular biomarkers to assign novel aging-related functions to poorly characterized longevity genes...
  11. doi request reprint Uninterrupted Sedentary Behavior Downregulates BRCA1 Gene Expression
    Rachael Pettapiece-Phillips
    Women s College Research Institute, Women s College Hospital, Toronto, Ontario, Canada Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
    Cancer Prev Res (Phila) 9:83-8. 2016
    ..Whether this translates into a potentially more harmful effect in BRCA1 mutation carriers warrants further investigation. Cancer Prev Res; 9(1); 83-88. ©2015 AACR. ..
  12. doi request reprint In silico prediction of physical protein interactions and characterization of interactome orphans
    Max Kotlyar
    Princess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada
    Nat Methods 12:79-84. 2015
    ..We provide an online database of annotated PPI predictions (http://ophid.utoronto.ca/fpclass/) and the prediction software (http://www.cs.utoronto.ca/~juris/data/fpclass/)...
  13. pmc Comparative systems biology of human and mouse as a tool to guide the modeling of human placental pathology
    Brian Cox
    The Hospital for Sick Children, Program in Developmental and Stem Cell Biology, Toronto, Ontario, Canada
    Mol Syst Biol 5:279. 2009
    ..The entire data are available as a web-accessible database to guide the informed development of mouse models to study human disease...