DEVELOPING INNOVATIVE APPROACHES TO USE HUMAN DATA TO DISCOVER AND
VALIDATE NEW TARGETSAdvances in genomics have led to the creation of
huge data sets that can uncover the details of biological processes
involved in human health and disease. Despite these advances, drug
discovery and development remains a time-consuming, high-risk and
incredibly difficult process, with a worryingly small success rate.
Many of the answers to the challenges in this process remain locked
inside the data. The efficiency and innovation gap in drug development
needs to be addressed through innovative approaches, to dramatically
increase the success rate of lead generation for drug discovery and
help build a more robust drug discovery pipeline.
ATTENDEES CONFIRMED (SO FAR):
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CHRIS MILLER, Director of Drug DISCOVERY, ABBVIE
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MATT NELSON, Head of Genetics, GSK
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AARON DAY-WILLIAMS, Director of Quantitative Target Sciences, MERCK
*
DIANE JOSEPH-MCCARTHY, Vice President, Translational
Science, ENBIOTIX
*
BIN LI, Director of Computational Biology, TAKEDA
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VIBHOR GUPTA, Director, PANGAEA GROUP
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GAUTHAM SRIDHARAN, Research Scientist, ALNYLAM PHARMACEUTICALS
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LEILA PIRHAJI, Founder and CEO, REVIVEMED
*
SHARON SHECHTER, Principal Investigator, SILICON THERAPY
*
PING ZHU, Head of Target DISCOVERY AND GENOMICS, H3 BIOMEDICINE
*
JOEL KLAPPENBACH, Director, Genome Sciences, MERCK
*
KEN RHODES, CSO, YUMANITY THERAPEUTICS
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AGUSTIN CHICAS, Head of Genomic Target DISCOVERY AND
VALIDATION, FORMA THERAPEUTICS
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HANS WINKLER, Independent Consultant
POINTS OF DISCUSSION:
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Emerging technologies and software solutions, including AI/ML, that
can benefit the drug development pipeline by eliminating bias and
accessing vast amounts of multi-parameter data.
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A need for guidelines to establish what is a truly validated drug
target, and to remove any disconnect between industry and academia.
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Applying existing technologies and methods to data available in the
public domain to discover new targets in a systematic way.
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Identifying and overcoming barriers to human translation and
functional testing.
MEETING OUTPUT:
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Identification of the most beneficial emerging technologies, and a
summary of common trends among the innovation efforts of meeting
participants.
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Actions to overcome the limitations of functional testing and analysis
of publicly available data.
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Potential guidelines to define a validated drug target.
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Opportunities for collaboration and open innovation for improvement of
the drug development pipeline.
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21/06/2018 Last update