Updated project metadata. Developing robust approaches for discovering protein-protein interactions remains a fundamental challenge in the life sciences. As an emerging view of protein-protein interactions in higher eukaryotes is that they are driven by a vast diversity of linear peptide motifs that drive combinatorial specificity in signal transduction. We focus on the E3 ubiquitin ligase component (MDM2) which plays a crucial role in inhibiting p53 and acting as an allosteric component of a multi-enzyme reaction in the ubiquitin transfer cascade that binds target proteins via a linear peptide-motif. Drugs targeting MDM2’s hydrophobic pocket that mimic peptide activate p53, which was described that it has unrestrained function can lead to massive cell death. However, these agents act allosterically and have agonist effects on MDM2’s protein interaction landscape. Dominant p53-independent MDM2-drug responsive binding proteins have not been stratified. As it is known that MDM2 can change its degradation rate as a function of cell density, we probed the impact of Nutlin-3 on protein synthesis rates using pulse-SILAC. Mass-spectrometry-based proteomics is used for giving detailed qualitative and quantitative information as well as a comprehensive view of protein-protein interactions. The data demonstrate that at differing cell densities different proteins dominate the synthesis landscape in an MDM2-dependent manner and further confirm that the cell state can in turn impact on the MDM2 signaling landscape. This methodology forms a blueprint for biomarker discovery that can identify re-arrangements of MDM2 proteome complexes in drug treated cells. Broader implication highlight tools that can be used to study allosteric regulation of any protein factor.