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• W2802617749 abstract "Target identification is the first step in drug discovery. It is highly imperative to select the key target(s) relevant to a disease state, and identify their ability to be modulated by a drug like molecule in pre-clinical stages to increase the probability of success in clinical trials and drug discovery. Data integration is required for gaining in-depth knowledge of disease mechanisms and information on drug targets and their druggability. The total number of predicted drug targets of pharmacological interest is estimated in the range of 6000–8000 in the human genome, however, approved drugs are available for only a fraction of these targets. This article describes various approaches for computational identification of drug targets and also elaborates on different approaches for target validation in silico, in vitro and in vivo. It also provides a general view of computational tools and databases available for pre-clinical drug discovery." @default.
• W2802617749 created "2018-05-17" @default.
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• W2802617749 date "2019-01-01" @default.
• W2802617749 modified "2023-09-28" @default.
• W2802617749 title "Preclinical: Drug Target Identification and Validation in Human" @default.
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• W2802617749 doi "https://doi.org/10.1016/b978-0-12-809633-8.20665-1" @default.
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