Target Identification

Regular methods are based on high throughput omics-datasets, such as genome-wide association scans, gene expression analysis from tissue to a single cell, miRNA analysis, proteomics, metabolomics, post-translational modifications, cellular imaging, etc. Target-based and phenotypic screening are most commonly used approaches for finding and validating drug targets. Computational approaches offer novel testable hypotheses for systematic, unbiased identification of molecular targets of known drugs. With the rapid development of AI and machine learning technologies, unstructured information from omics, text and image analytics, public databases, systems biology can be integrated. Our expert team can help clients extracting knowledge from a multitude of resources and thus enabling science-based decisions. https://ai.computabio.com/target-identification.html