The human proteome contains a plethora of short linear motifs (SLiMs) that serve as binding interfaces for modular protein domains. Such interactions are crucial for signaling and other cellular processes, but are difficult to detect because of their low to moderate affinities. Here we developed a dedicated approach, proteomic peptide-phage display (ProP-PD), to identify domain-SLiM interactions. Specifically, we generated phage libraries containing all human and viral C-terminal peptides using custom oligonucleotide microarrays. With these libraries we screened the nine PSD-95/ Dlg/ZO-1 (PDZ) domains of human Densin-180, Erbin, Scribble, and Disks large homolog 1 for peptide ligands. We identified several known and putative interactions potentially relevant to cellular signaling pathways and confirmed interactions between fulllength Scribble and the target proteins β-PIX, plakophilin-4, and guanylate cyclase soluble subunit α-2 using colocalization and coimmunoprecipitation experiments. The affinities of recombinant Scribble PDZ domains and the synthetic peptides representing the C termini of these proteins were in the 1-to 40-μM range. Furthermore, we identified several well-established host-virus proteinprotein interactions, and confirmed that PDZ domains of Scribble interact with the C terminus of Tax-1 of human T-cell leukemia virus with micromolar affinity. Previously unknown putative viral protein ligands for the PDZ domains of Scribble and Erbin were also identified. Thus, we demonstrate that our ProP-PD libraries are useful tools for probing PDZ domain interactions. The method can be extended to interrogate all potential eukaryotic, bacterial, and viral SLiMs and we suggest it will be a highly valuable approach for studying cellular and pathogen-host protein-protein interactions.T here are an estimated 650,000 protein-protein interactions in a human cell (1). These interactions are integral to cellular function and mediate signaling pathways that are often misregulated in cancer (2) and may be hijacked by viral proteins (3). Commonly, signaling pathways involve moderate affinity interactions between modular domains and short linear motifs (SLiMs; conserved 2-to 10-aa stretches in disordered regions) (4) that are difficult to capture using high-throughput methods, such as yeast two-hybrid (Y2H) or affinity-purification mass spectrometry (AP/MS) but can be identified using peptide arrays, splitprotein systems (5, 6), or peptide-phage display (7-10). A major limitation of peptide arrays is coverage, because the number of potential binding peptides in the proteome is orders of magnitude larger than what can be printed on an array. Conventional phage libraries display combinatorially generated peptide sequences that can identify biophysically optimal ligands of modular domains but this approach can exhibit a hydrophobic bias and may not be ideal for detecting natural binders (11). Thus, there is a need for alternative approaches for identification of relevant domain-SLiMs interactions.Here, we report an appr...