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DTSTART:20251002T020000
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DESCRIPTION:Time:&nbsp\;14:00 &ndash\; 15:00 UK Time\nPresenter:&nbsp\;Bie 
 Verbist\n\nClick here to view the presentation slides.\n\nAbstract\n\nBroa
 d toxicology profiling takes traditionally place at the interface between 
 discovery and development when a potential drug candidate is selected. How
 ever\, it would be both time- and cost-wise better if mechanism (target)-r
 elated toxicity and compound-chemistry related toxicity is addressed earli
 er\, when discussions on novel drug targets take place and compound series
  are identified and optimized. As the traditional in-vivo and in-vitro tox
 icity testing is rather low-throughput\, they can&rsquo\;t be used in thes
 e early stages of the drug discovery process. Therefore a paradigm shift i
 n toxicity testing needs to take place to move to high-throughput cell-bas
 ed assays to reveal key pathways and proteins linked with toxicity end poi
 nts. I will present some explorations and case studies where both transcri
 ptional profiling and imaging techniques are explored to flag early potent
 ial toxicity issues already during the drug development process where the 
 findings could still influence the final candidate selection.&nbsp\;\n\nAb
 out the Presenter:&nbsp\;Bie Verbist\n\n\nBie Verbist studied medicinal ch
 emistry at KU Leuven\, Belgium and finished PhD in 2005 on the design and 
 synthesis of potential &beta\;‐turn mimetics in the group of Prof.Dr.G.Hoo
 rnaert. Following this\, she started as a post-doc at Johnson &amp\; Johns
 on Pharmaceutical Research and Development in Beerse\, Belgium where she w
 as involved in the design\, synthesis and validation of new biological ent
 ities within the therapeutic areas pain and internal medicine\, for three 
 years. Afterwards\, she went back to university to follow a one-year MaNaM
 a in statistical data analysis. In 2011\, after a short period of working 
 as a scientific collaborator at Ghent University on qPCR data\, she starte
 d a second PhD to search for low-frequency variants in viral populations u
 sing Illumina deep sequencing technologies under supervision of Prof.Dr. O
 . Thas and in close collaboration with Johnson &amp\; Johnson Pharmaceutic
 al Research and Development in Beerse\, Belgium. In 2014\, Bie joined John
 son &amp\; Johnson as a Principal Biostatistician in the non-clinical stat
 istics department to support oncology projects within discovery with a foc
 us on omics data analysis.&nbsp\;\n\nTo access the recording\, please visi
 t the Video-on-Demand Library.
DTEND:20180220T150000Z
DTSTAMP:20260721T160624Z
DTSTART:20180220T140000Z
LOCATION:
SEQUENCE:0
SUMMARY:PSI Webinar: Integrating transcriptomics into early safety screenin
 g
UID:RFCALITEM639202467843271021
X-ALT-DESC;FMTTYPE=text/html:<strong>Time:&nbsp\;</strong>14:00 &ndash\; 15
 :00 UK Time<br />\n<strong>Presenter:</strong>&nbsp\;Bie Verbist<br />\n<b
 r />\n<a href="https://www.psiweb.org/docs/default-source/default-document
 -library/transcriptomicsinearlysafetyscreening.pdf?sfvrsn=2ef8dedb_0&sf_si
 te_temp=true&sf_site=00000000-0000-0000-0000-000000000000" title="Click he
 re">Click here</a> to view the presentation slides.<br />\n<br />\n<strong
 >Abstract<br />\n</strong><br />\n<p>Broad toxicology profiling takes trad
 itionally place at the interface between discovery and development when a 
 potential drug candidate is selected. However\, it would be both time- and
  cost-wise better if mechanism (target)-related toxicity and compound-chem
 istry related toxicity is addressed earlier\, when discussions on novel dr
 ug targets take place and compound series are identified and optimized. As
  the traditional in-vivo and in-vitro toxicity testing is rather low-throu
 ghput\, they can&rsquo\;t be used in these early stages of the drug discov
 ery process. Therefore a paradigm shift in toxicity testing needs to take 
 place to move to high-throughput cell-based assays to reveal key pathways 
 and proteins linked with toxicity end points. I will present some explorat
 ions and case studies where both transcriptional profiling and imaging tec
 hniques are explored to flag early potential toxicity issues already durin
 g the drug development process where the findings could still influence th
 e final candidate selection.&nbsp\;</p>\n<br />\n<strong>About the Present
 er:&nbsp\;</strong><strong><strong>Bie Verbist<br />\n</strong><br />\n</s
 trong>\n<p><img src="https://www.psiweb.org/images/default-source/default-
 album/psi-webinar.jpg?sfvrsn=ad9dedb_0&amp\;sf_site_temp=true&amp\;sf_site
 =00000000-0000-0000-0000-000000000000&amp\;MaxWidth=150&amp\;MaxHeight=&am
 p\;ScaleUp=false&amp\;Quality=High&amp\;Method=ResizeFitToAreaArguments&am
 p\;Signature=205E85DDAEFEAE49A9F079344E599280" data-method="ResizeFitToAre
 aArguments" data-customsizemethodproperties="{'MaxWidth':'150'\,'MaxHeight
 ':''\,'ScaleUp':false\,'Quality':'High'}" data-displaymode="Custom" alt="p
 si webinar" title="psi webinar" style="float: left\;" />Bie Verbist<strong
 > </strong>studied medicinal chemistry at KU Leuven\, Belgium and finished
  PhD in 2005 on the design and synthesis of potential &beta\;‐turn mimetic
 s in the group of Prof.Dr.G.Hoornaert. Following this\, she started as a p
 ost-doc at Johnson &amp\; Johnson Pharmaceutical Research and Development 
 in Beerse\, Belgium where she was involved in the design\, synthesis and v
 alidation of new biological entities within the therapeutic areas pain and
  internal medicine\, for three years. Afterwards\, she went back to univer
 sity to follow a one-year MaNaMa in statistical data analysis. In 2011\, a
 fter a short period of working as a scientific collaborator at Ghent Unive
 rsity on qPCR data\, she started a second PhD to search for low-frequency 
 variants in viral populations using Illumina deep sequencing technologies 
 under supervision of Prof.Dr. O. Thas and in close collaboration with John
 son &amp\; Johnson Pharmaceutical Research and Development in Beerse\, Bel
 gium. In 2014\, Bie joined Johnson &amp\; Johnson as a Principal Biostatis
 tician in the non-clinical statistics department to support oncology proje
 cts within discovery with a focus on omics data analysis.&nbsp\;</p>\n<str
 ong>\n<a href="https://members.psiweb.org/Core_Content_PSI/Events/Event_Di
 splay.aspx?EventKey=144&amp\;WebsiteKey=f9ea4a39-cfd9-4a75-bbec-782dbdba50
 d0"></a>To access the recording\, please visit the <a href="https://psiweb
 .org/vod">Video-on-Demand Library</a>.</strong>
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