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• W3162635852 abstract "Toxicity related failures in drug discovery and clinical development have motivated scientists and regulators to develop a wide range of in-vitro, in-silico tools coupled with data science methods. Older drug discovery rules are being constantly modified to churn out any hidden predictive value. Nonetheless, the dose-response concepts remain central to all these methods. Over the last 2 decades medicinal chemists, and pharmacologists have observed that different physicochemical, and pharmacological properties capture trends in toxic responses. We propose that these observations should be viewed in a comprehensive property-response framework where dose is only a factor that modifies the inherent toxicity potential. We then introduce the recently proposed Drug Toxicity Index (DTI) and briefly summarize its applications. A webserver is available to calculate DTI values (https://all-tool-kit.github.io/Web-Tool.html)." @default.
• W3162635852 created "2021-05-24" @default.
• W3162635852 creator A5008460520 @default.
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• W3162635852 date "2021-05-15" @default.
• W3162635852 modified "2023-10-10" @default.
• W3162635852 title "A property-response perspective on modern toxicity assessment and drug toxicity index (DTI)" @default.
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• W3162635852 doi "https://doi.org/10.1007/s40203-021-00096-9" @default.
• W3162635852 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8124026" @default.
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• W3162635852 hasPublicationYear "2021" @default.
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