ReviewSignal transduction and targeted therapy2024
New insights into protein-protein interaction modulators in drug discovery and therapeutic advance.
Review in Signal transduction and targeted therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
83 citing papers in PubMed.
- Structure-guided discovery and evaluation of an EGFR L858R-targeting peptide with antiproliferative activity against ovarian cancer cells.Journal of enzyme inhibition and medicinal chemistry · 2026Article
- Engineered protein nanoclusters reduce liver fibrosis and hepatocellular carcinoma in mice models.Bioactive materials · 2026Article
- Development of a Nanoscale Protein-Protein Mapping of PDE4 Interface-Disrupting Peptides.Nano letters · 2026Article
- Engineering Antibodies into Targeted Chimeras: From Recognition Modules to Programmable Degraders.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Generation of membrane-permeable cyclic peptides inhibiting protein-protein interaction.Nature chemical biology · 2026Article
- Inhibition of protein-protein interactions among tubulinsRSC advances · 2026Article
- ORIGAMI: Orientation-Aware Graph Neural Network for Assessing Multimeric Interfaces of Protein Complex Structures.Journal of chemical information and modeling · 2026Article
- SMART Planning of Early-Stage Health Economic Decision Models for Mechanism-Based Precision Treatments in Rare Cancers: An Application and Tool Update.PharmacoEconomics · 2026Review
- Multivalent Aptamers: Contemporary Engineering Strategies and Biomedical Applications.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- The regulatory potential of cytochrome P450-adrenodoxin interactions: Insights toward understanding redox partner regulation in drug metabolizing enzymes.Drug metabolism and disposition: the biological fate of chemicals · 2026Review
- Integrative subtractive genomics and molecular dynamics-based approach for drug repurposing against female genital tuberculosis.Molecular diversity · 2026Article
- Native MS and ligand observed NMR uncovers subtle SLiM binding variations that mediate HSP90-Hop PPI modulation.RSC chemical biology · 2026Article
- ORIGAMI: Orientation-Aware Graph Neural Network for Assessing Multimeric Interfaces of Protein Complex Structures.bioRxiv : the preprint server for biology · 2026Article
- Synergistic antiviral effects of structure-guided peptides and a mutagenic base analog on SARS-CoV-2 replication.Antimicrobial agents and chemotherapy · 2026Article
- RPAP3: Structural evolution, chaperone networks, and disease implications of a transcriptional Co-chaperone.The Journal of biological chemistry · 2026Review
- SAKE-PP: A Spatial-Attention Equivariant Network for Accurate Ranking of Protein-Protein Interaction Models.JACS Au · 2026Article
- A 15-layer multi-omics analysis of gastric cancer ecotypes provides therapeutic insights.Cell reports. Medicine · 2026Article
- Integrative network analysis reveals organizational principles of the endocannabinoid system.Journal of cannabis research · 2026Article
- Disrupting the Undruggable: Emerging Modalities for Targeting Protein-Protein Interactions in Oncology.Biology · 2026Review
- Breaking the bonds: targeting protein dimerization for prostate cancer therapy.Endocrinology · 2026Review
23 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Protein-protein interactions (PPIs) are fundamental to cellular signaling and transduction which marks them as attractive therapeutic drug development targets. What were once considered to be undruggable targets have become increasingly feasible due to the progress that has been made over the last two decades and the rapid technological advances. This work explores the influence of technological innovations on PPI research and development. Additionally, the diverse strategies for discovering, modulating, and characterizing PPIs and their corresponding modulators are examined with the aim of presenting a streamlined pipeline for advancing PPI-targeted therapeutics. By showcasing carefully selected case studies in PPI modulator discovery and development, we aim to illustrate the efficacy of various strategies for identifying, optimizing, and overcoming challenges associated with PPI modulator design. The valuable lessons and insights gained from the identification, optimization, and approval of PPI modulators are discussed with the aim of demonstrating that PPI modulators have transitioned beyond early-stage drug discovery and now represent a prime opportunity with significant potential. The selected examples of PPI modulators encompass those developed for cancer, inflammation and immunomodulation, as well as antiviral applications. This perspective aims to establish a foundation for the effective targeting and modulation of PPIs using PPI modulators and pave the way for future drug development.
Indexed as
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What Socratic holds
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 Socratic graph.