evotec_Nov23_PanOmicsDriven - 12

The PanHunter Platform
TRANSFORMING
TOXICOLOGY
PREDICTION VIA
PanOmics
INTRODUCTION
TOXICOLOGY PREDICTION AND TRANSCRIPTOMICS
This introduction outlines exciting new developments
in PanOmics research with a particular focus on the
area of transcriptomics in predicting Drug Induced
Liver Injury (DILI) in humans. With the advent of
state-of-the-art technologies such as RNA-Seq, coupled
with Artificial Intelligence (AI) and Machine Learning
(ML), we now have the opportunity to transform the
drug discovery and development process. Continue
reading to find out why global trans criptomics is a
game changer in toxicology research and how Evotec's
platform is leading the industry with high-throughput
transcriptomics and DILI toxicology prediction.
THE COST OF DRUG FAILURE
Delivering a safe effective drug to market is
the ultimate goal of the pharmaceutical industry.
However, escalating costs coupled with high failure
rates are a major concern.
It is estimated that the cost of delivering a drug to
market is a staggering $ 2.6 bn
Drug development can take up to 15 years
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GENengnews.com
90% of drugs fail during clinical development
Only 50% of human hepatic toxicities are
identified in animal studies
Between 1953 and 2013, approximately 18% of drug
withdrawals from the market were a consequence
of DILI
Drug safety has been identified as a key cause of
the failure. It is now recognised that the traditional
approach for pre-clinical toxicity testing using
animal models has its limitations in the prediction
of human toxicity. This leads to drugs with safety
concerns only being picked up during clinical
development or post market approval. DILI is one of
the most common adverse drug reactions.
BRINGING TESTING EARLIER USING
HUMAN CELL-BASED MODELS
The lack of translation from animal species to
humans combined with an ethical drive to reduce
animal testing has led to an industry push towards
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evotec_Nov23_PanOmicsDriven

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