If the drug wants to proceed in the development process, the premise is that the drug target should be validated. The role of target validation is to demonstrate the functional role of the potential target in the disease phenotype. Based on the detection of protein expression changes in diseases, proteomics is becoming a promising tool for identifying candidate drugs in biological and biomedical applications. With an advanced technology platform, a professional research team and rich experience, Creative Biolabs provides drug validation services based on protein level.
Proteomics is defined as "a global analysis of the quantitative changes and post-translational modifications of all proteins in a cell", involving the full complement of proteins expressed by the genome. These proteins are cell and tissue specific and are affected by age, disease and trauma. Therefore, unlike genomes, proteomes (many of which can be generated from the same source) are dynamic in time and space, and each analysis profile represents a unique time. Proteomics can also be used to evaluate the differences in protein expression in cells or tissues due to drug exposure, and to distinguish the proteome of diseased and normal tissues.
From identifying a hypothetical drug target using genomics and proteomics methods to validating it as a bona fide drug target is a difficult challenge, representing the next rate-limiting step in the application of "omics" technologies. At the preclinical level, target validation can be more accurately described as target confidence building. Once a target has reached a state that is difficult to define in general (for example, there are currently more than 30 candidate genes for schizophrenia), proteomics strategies are needed to build confidence in protein selection from a subset of potential targets in order to more effectively bridge the gap between target identification and the start of clinical trials. This may lead to fewer clinical failures, allowing the anticipated potential of proteomics strategies to be realized in a predictive rather than retrospective manner.
In psychotropic drug discovery research, due to the high cost and high loss rate of downstream studies, only a few fully verified high confidence targets can enter clinical practice, so it is very important to prioritize potential new drug targets.
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