Sean Ekins

Summary

Publications

  1. ncbi A collaborative database and computational models for tuberculosis drug discovery
    Sean Ekins
    Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, CA 94403, USA
    Mol Biosyst 6:840-51. 2010
  2. ncbi Analysis and hit filtering of a very large library of compounds screened against Mycobacterium tuberculosis
    Sean Ekins
    Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, CA 94010, USA
    Mol Biosyst 6:2316-24. 2010
  3. ncbi Validating new tuberculosis computational models with public whole cell screening aerobic activity datasets
    Sean Ekins
    Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, California 94010, USA
    Pharm Res 28:1859-69. 2011
  4. ncbi Bottlenecks caused by software gaps in miRNA and RNAi research
    Sean Ekins
    Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, California 94010, USA
    Pharm Res 29:1717-21. 2012
  5. ncbi Novel web-based tools combining chemistry informatics, biology and social networks for drug discovery
    Moses Hohman
    Collaborative Drug Discovery, Inc, Burlingame, CA 94403, USA
    Drug Discov Today 14:261-70. 2009
  6. ncbi Bayesian models leveraging bioactivity and cytotoxicity information for drug discovery
    Sean Ekins
    Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, CA 94010, USA
    Chem Biol 20:370-8. 2013

Collaborators

Detail Information

Publications6

  1. ncbi A collaborative database and computational models for tuberculosis drug discovery
    Sean Ekins
    Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, CA 94403, USA
    Mol Biosyst 6:840-51. 2010
    ....
  2. ncbi Analysis and hit filtering of a very large library of compounds screened against Mycobacterium tuberculosis
    Sean Ekins
    Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, CA 94010, USA
    Mol Biosyst 6:2316-24. 2010
    ..Combining these approaches may enable selection of compounds with increased probability of inhibition of whole cell Mtb activity...
  3. ncbi Validating new tuberculosis computational models with public whole cell screening aerobic activity datasets
    Sean Ekins
    Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, California 94010, USA
    Pharm Res 28:1859-69. 2011
    ..Several public datasets from the Collaborative Drug Discovery Tuberculosis (CDD TB) database have been evaluated with cheminformatics approaches to validate their utility and suggest compounds for testing...
  4. ncbi Bottlenecks caused by software gaps in miRNA and RNAi research
    Sean Ekins
    Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, California 94010, USA
    Pharm Res 29:1717-21. 2012
    ..For example a new software application could be created that provides interactive, comprehensive target analysis that leverages past datasets to lead to statistically stronger analyses...
  5. ncbi Novel web-based tools combining chemistry informatics, biology and social networks for drug discovery
    Moses Hohman
    Collaborative Drug Discovery, Inc, Burlingame, CA 94403, USA
    Drug Discov Today 14:261-70. 2009
    ..We will illustrate several case studies for anti-malarial research enabled by this platform, which we suggest could be easily expanded more broadly for pharmaceutical research in general...
  6. ncbi Bayesian models leveraging bioactivity and cytotoxicity information for drug discovery
    Sean Ekins
    Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, CA 94010, USA
    Chem Biol 20:370-8. 2013
    ..The most potent hit exhibits the in vitro activity and in vitro/in vivo safety profile of a drug lead. These Bayesian models offer significant economies in time and cost to drug discovery...