Quantifying drug response is crucial for assessing vulnerabilities of cancer cells, and plays an important role in drug discovery.  In this talk, I will present state-of-the-art methods to infer drug response from high-throughput drug screening experiments. In addition, I will illustrate a novel Normalized Drug Response (NDR) metric which realistically captures full-spectrum of the drug-induced effects. The drug sensitivity scores based on this metric are able to precisely capture the drug’s biological behavior, aiding the differentiation of drugs as into distinct drug-classes, namely lethal, sub-effective, effective and growth-stimulatory.