Time-based bioactivity analysis

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Time-based bioactivity analysis | Presented By Date Time-Based Bioactivity Analysis Reaxys Medicinal Chemistry Matthew CLARK 18 May 2016

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  • Time-based bioactivity analysis |

    Presented By

    Date

    Time-Based Bioactivity Analysis

    Reaxys Medicinal Chemistry

    Matthew CLARK

    18 May 2016

  • Time-based bioactivity analysis |

    R&D Solutions FOR PHARMA & LIFE SCIENCES Essential Tools and Solutions for Pharma & Life Sciences

    https://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutions

    Matthew Clark, Ph. D. [email protected]

    https://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutionshttps://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutionshttps://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutionshttps://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutionshttps://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutionshttps://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutionshttps://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutionshttps://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutionshttps://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutionshttps://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutionshttps://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutionshttps://www.elsevier.com/rd-solutions/pharma-and-life-sciences-solutionsmailto:[email protected]

  • Time-based bioactivity analysis |

    Q: can you analyze activity reported for a target over time, to see the time trend of improvement?

    A: Yes

    Findings for PIK3 example

    While the most active compound has hovered around the 1-10pM range of affinity, the scaffolds are similar

    Looking over the distribution of activities reported for all PIK3-active compounds, the peak of the distribution has shifted only moderately over time.

    Findings for ABL1 example

    Most active compound about 10nM for some time

    Number of highly active compound reports increasing over time

    Trend is moving to more active compounds

    Follow Up From Bioactivity Prediction Webinar Question

  • Time-based bioactivity analysis |

    Most Potent Compound Reported for PIK3 Target by Year

    (all variants, PIK3* )

    The developer of the most-binding compound over time: 2014-16 Pfizer 2011-13 GSK (GSK2126458) 2008-10 Pfizer 2000-07 Isradipine, Sandoz 1994-96 Nicarpidine, Syntex

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    1994-1996 1997-1999 2000-2002 2003-2005 2006-2007 2008-2010 2011-2013 2014-2016

    The scaffolds have some notable similarity over this time period

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    The peak of reported activities has shifted only moderately

    The number of compounds reported per year increased 1000 fold between 1994 and 2014

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    Distribution of Activities for PIK3 Target Over Time

    Graph shows the number of assay reports in each decade of activity for the given time spans That is, how the activities are distributed Note: some compounds are reported in more than one time frame.

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    1994-1996 compound is from Plexxicon, most active from Princeton U., most recent from Nektar.

    2000-2002 leader was Staurosporine!

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    ABL1 Kinase

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  • Time-based bioactivity analysis |

    Proportion of highly active compound reports increasing over time

    Total number of compounds reported peaked in 2006-2008

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    ABL1 Kinase Distribution of Activities Over Time

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    Trend shows most active compounds have been small molecules, oligos, and most recently the cyclic peptide cyclohexylgriselimycin

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    DNA Polymerase

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    DNA Polymerase Distribution of Activities over Time

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    Trend seems to be for fewer compounds in recent years.