ReviewNPJ systems biology and applications2026
Targeting protein protein interactions and their modulators to enable new therapeutic strategies for human diseases.
Review in NPJ systems biology and applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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0 citing papers in PubMed.
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Authors and funding
4 authors.
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Abstract
Protein-protein interactions (PPIs) are essential for cellular processes and play central roles in disease mechanisms, making them important therapeutic targets. This review explores how integrating artificial intelligence (AI) and deep learning (DL) with traditional experimental approaches has advanced the mapping and analysis of PPIs. We discuss how systems biology leverages PPI networks to model diseases and identify novel therapeutic targets, and highlight challenges and future directions in multi-omics integration, AI-driven innovation, and network-based drug development.
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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 Socratic graph.