ArticleNature chemical biology2016
Pooled screening for antiproliferative inhibitors of protein-protein interactions.
Article in Nature chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed.
- Uncovering cancer dependencies in peptide-interacting protein pockets.bioRxiv : the preprint server for biology · 2026Article
- Massively Parallel Screening of Toll/Interleukin-1 Receptor (TIR)-Derived Peptides Reveals Multiple Toll-Like Receptors (TLRs)-Targeting Immunomodulatory Peptides.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- A High-Throughput Method for Screening Peptide Activators of G-Protein-Coupled Receptors.ACS omega · 2024Article
- A quantitative intracellular peptide binding assay reveals recognition determinants and context dependence of short linear motifs.bioRxiv : the preprint server for biology · 2024Article
- A Lipopeptidomimetic of Transcriptional Activation Domains Selectively Disrupts the Coactivator Med25 Protein-Protein Interactions.Angewandte Chemie (International ed. in English) · 2024Article
- Pooled CRISPR screening of high-content cellular phenotypes using ghost cytometry.Cell reports methods · 2024Article
- Disrupting the α-synuclein-ESCRT interaction with a peptide inhibitor mitigates neurodegeneration in preclinical models of Parkinson's disease.Nature communications · 2023Article
- Mapping functional regions of essential bacterial proteins with dominant-negative protein fragments.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- A Bionic-Homodimerization Strategy for Optimizing Modulators of Protein-Protein Interactions: From Statistical Mechanics Theory to Potential Clinical Translation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Genome‑wide identification of CAMTA gene family members in rice (Oryza sativa L.) and in silico study on their versatility in respect to gene expression and promoter structure.Functional & integrative genomics · 2022Article
- Target identification for small-molecule discovery in the FOXO3a tumor-suppressor pathway using a biodiverse peptide library.Cell chemical biology · 2021Article
- Peptide-tiling screens of cancer drivers reveal oncogenic protein domains and associated peptide inhibitors.Cell systems · 2021Article
- Molecular Simulation of Oncostatin M and Receptor (OSM-OSMR) Interaction as a Potential Therapeutic Target for Inflammatory Bowel Disease.Frontiers in molecular biosciences · 2020Article
- Predicting and Experimentally Validating Hot-Spot Residues at Protein-Protein Interfaces.ACS chemical biology · 2019Article
- Rapid and accurate structure-based therapeutic peptide design using GPU accelerated thermodynamic integration.Proteins · 2019Article
- Development of R7BP inhibitors through cross-linking coupled mass spectrometry and integrated modeling.Communications biology · 2019Article
- Viral journeys on the intracellular highways.Cellular and molecular life sciences : CMLS · 2018Review
- SWISS-MODEL: homology modelling of protein structures and complexes.Nucleic acids research · 2018Article
- High-throughput discovery of functional disordered regions: investigation of transactivation domains.Molecular systems biology · 2018Article
- Specific and intrinsic sequence patterns extracted by deep learning from intra-protein binding and non-binding peptide fragments.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Protein-protein interactions (PPIs) are emerging as a promising new class of drug targets. Here, we present a novel high-throughput approach to screen inhibitors of PPIs in cells. We designed a library of 50,000 human peptide-binding motifs and used a pooled lentiviral system to express them intracellularly and screen for their effects on cell proliferation. We thereby identified inhibitors that drastically reduced the viability of a pancreatic cancer line (RWP1) while leaving a control line virtually unaffected. We identified their target interactions computationally, and validated a subset in experiments. We also discovered their potential mechanisms of action, including apoptosis and cell cycle arrest. Finally, we confirmed that synthetic lipopeptide versions of our inhibitors have similarly specific and dosage-dependent effects on cancer cell growth. Our screen reveals new drug targets and peptide drug leads, and it provides a rich data set covering phenotypes for the inhibition of thousands of interactions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.