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Protein-Protein Interactions (PPIs)

Definition
Definition
Definition

Protein-protein interactions (PPIs) are the physical contacts established between two or more protein molecules as a result of biochemical events and/or electrostatic forces. PPIs are fundamental to almost all biological processes, including signal transduction, cellular structure, and metabolic regulation. In drug discovery, targeting PPIs offers opportunities to modulate complex biological pathways that are often inaccessible to traditional small-molecule drugs. PPIs comprise large flexible surfaces that are difficult to target by small molecules, and are more often the target of biologics. PPIs can be exploited by molecular glues that enhance interactions and PROTACs (proteolysis-targeting chimeras) that induce protein degradation. Peptides and macrocycles can also be effective at targeting broad surfaces.

Importance in Computational Drug Discovery:

  • Expands the range of druggable targets by enabling intervention in pathways previously considered “undruggable.”
  • Facilitates the design of molecules (small molecules, peptides, or biologics) that can disrupt or stabilize specific PPIs.
  • Supports virtual screening, molecular docking, and molecular dynamics simulations tailored to large, often flat or flexible PPI interfaces.
  • Enables prediction and mapping of PPI networks, aiding in target identification and validation.
  • Assists in the rational design of inhibitors, stabilizers, or molecular glues for therapeutic intervention.

Key Tools

  • Rosetta: Suite for protein structure prediction, PPI modeling, and interface design.
  • HADDOCK: Specialized in flexible docking and modeling of protein-protein complexes.
  • ZDOCK: Automated docking tool for predicting PPI structures.
  • STRING Database: Provides curated and predicted PPI networks for target identification.

Literature

"Recent advances in the development of protein–protein interactions modulators: mechanisms and clinical trials"

  • Publication Date: 2020
  • DOI: 10.1038/s41392-020-00315-3
  • Summary: This comprehensive review discusses the significance of PPIs in various diseases and the challenges associated with targeting them. It highlights recent advances in the development of PPI modulators, including small molecules and peptides, and summarizes ongoing clinical trials targeting PPIs.

"Computational drug design targeting protein–protein interactions"

  • Publication Date: 2012
  • DOI: 10.2174/138161212799436412
  • Summary: This article reviews computational methods for designing drugs that target PPIs. It covers techniques such as molecular docking and hot spot analysis, providing examples of successful PPI inhibitors developed through computational approaches.

"New insights into protein–protein interaction modulators in drug discovery"

  • Publication Date: 2024
  • DOI: 10.1038/s41392-024-02036-3
  • Summary: This paper explores the latest developments in PPI modulator discovery, emphasizing the role of computational tools and machine learning in identifying and designing effective modulators. It also discusses the challenges in developing PPI stabilizers compared to inhibitors.

"Computational Approaches to Predict Protein–Protein Interactions in Drug Discovery"

  • Publication Date: 2023
  • DOI: 10.1021/acs.chemrev.3c00550
  • Summary: This review provides an overview of computational methods used to predict PPIs, including molecular docking, molecular dynamics simulations, and machine learning techniques. It discusses the strengths and limitations of these approaches in the context of drug discovery.

"Computational approaches for the design of modulators targeting protein–protein interactions"

  • Publication Date: 2023
  • DOI: 10.1080/17460441.2023.2171396
  • Summary: This article reviews computational strategies for designing modulators that target PPIs. It covers various techniques, including virtual screening and structure-based drug design, and highlights recent successes in developing PPI modulators.