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Targeting Protein-Protein Interactions for Drug Discovery cover

Targeting Protein-Protein Interactions for Drug Discovery

by Jian Zhang

1st Edition

Publisher: Wiley-VCH

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Pharmacology

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Book Details

Print ISBN9783527353606
eText ISBN9783527845811
PublisherWiley-VCH
Publishing Year2025
Edition1st Edition
LanguageEnglish
Pages432

Targeting Protein-Protein Interactions for Drug Discovery, 1st Edition, delivers detailed reference coverage focusing on molecular interfaces that regulate complex cellular pathways. Edited by Jian Zhang, this reference volume addresses an important scientific need for researchers, educators, and students requiring rigorous analysis of protein interface modulation.

The text organizes its content into distinct methodology themes, covering predictive computational tools alongside quantitative laboratory assay techniques. It examines computational techniques to predict protein-protein interactions, featuring protein docking models and deep learning-based approaches. To support physical measurement, the volume reviews experimental techniques including fluorescence resonance energy transfer, mass spectrometry, proximity ligation assays, and surface plasmon resonance.

To illustrate real-world execution, the text incorporates a case study focused on targeting the APC-Asef interaction to advance drug discovery for colorectal cancer therapy. By pairing computational algorithms with experimental detection methods, this reference supports advanced study and ongoing institutional research in therapeutic design.

Table of Contents

  1. Chapter 1: Exploring Protein–Protein Interactions: Concepts, Methods, and Implications

    • • 1.1 General Concepts of Protein–Protein Interactions
    • • 1.1.1 Definition of Protein–Protein Interactions
    • • 1.1.2 Structural Properties of Protein–Protein Interactions
    • • 1.1.3 Diverse Types of Protein–Protein Interactions
    • • 1.1.3.1 Enzyme–Substrate Interactions
    • • 1.1.3.2 Receptor–Ligand Interactions
    • • 1.1.3.3 Antigen–Antibody Interactions
    • • 1.1.3.4 Chaperone–Client Interactions
    • • 1.1.3.5 Scaffold Interactions
    • • 1.2 Functional Significance of Protein–Protein Interactions
    • • 1.2.1 Cellular Signal Transduction
    • • 1.2.2 Regulation of Gene Expression
    • • 1.2.3 Immune Response
    • • 1.2.3.1 Immune Cell Migration
    • • 1.2.3.2 T-Cell Antigen Recognition and Activation
    • • 1.2.3.3 B-Cell Antigen Recognition and Activation
    • • 1.2.4 Protein Degradation Pathway
    • • 1.2.5 Disease Mechanisms
    • • 1.2.5.1 Cancer
    • • 1.2.5.2 Neurodegenerative Diseases
    • • 1.2.5.3 Infectious Disease
    • • 1.3 Methods for Analyzing Protein–Protein Interactions
    • • 1.3.1 Experimental Methods
    • • 1.3.1.1 Structure Determination
    • • 1.3.1.2 Affinity, Kinetics, and Thermodynamics Measurement
    • • 1.3.1.3 Large-Scale PPI Network Mapping
    • • 1.3.2 Computational Methods
    • • 1.3.2.1 Sequence-Based Methods
    • • 1.3.2.2 Structure-Based Methods
    • • 1.3.2.3 Network-Based Methods
    • • 1.4 Implications of the Basic Research on Protein–Protein Interactions
    • • 1.4.1 Advancing Disease Understanding and Diagnosis
    • • 1.4.2 Driving Target-Based Drug Discovery
    • • 1.4.3 Fostering Innovations in Biotechnology
    • • 1.5 Conclusions and Perspectives
    • • References
  2. Chapter 2: Overview of Drug Discovery Targeting PPI Systems

    • • 2.1 Introduction
    • • 2.2 Fundamentals of Protein–Protein Interactions
    • • 2.2.1 Basic Principles of Protein Structure and Function
    • • 2.2.2 Types of Protein–Protein Interactions
    • • 2.2.3 Significance of PPIs in Cellular Processes and Disease Pathways
    • • 2.3 Challenges in Targeting PPI Systems
    • • 2.3.1 Structural Complexities of PPI Interfaces
    • • 2.3.2 Dynamics and Flexibility of Protein Complexes
    • • 2.3.3 Druggability Issues Associated with PPI Targets
    • • 2.4 Approaches in Drug Discovery Targeting PPI Systems
    • • 2.4.1 High-Throughput Drug Design (HTS) Methods
    • • 2.4.2 Structure-Based Drug Design (SBDD) Techniques
    • • 2.4.3 Fragment-Based Drug Discovery (FBDD) Strategies
    • • 2.4.4 Computational Methods for Predicting PPI Inhibitors
    • • 2.5 Case Studies and Success Stories
    • • 2.5.1 BCL Family
    • • 2.5.1.1 Bcl- 2
    • • 2.5.1.2 Bcl-xL
    • • 2.5.1.3 Mcl- 1
    • • 2.5.2 p53–MDM 2
    • • 2.5.3 XIAP/c-IAP 1
    • • 2.5.4 Cd40-cd40l
    • • 2.5.5 Cyclin-Dependent Kinase (CDK)
    • • 2.5.6 Pd-/pd-l 1
    • • 2.5.7 Hsp90-Cdc 37
    • • 2.5.8 Menin-MLL
    • • 2.5.9 Kras-SOS 1
    • • 2.5.10 Keap1-Nrf2 PPI
    • • 2.6 Conclusion
    • • References
  3. Chapter 3: Fluorescence Resonance Energy Transfer Technology and its Applications

    • • 3.1 Introduction
    • • 3.2 Mechanism of FRET
    • • 3.3 Applications of FRET
    • • 3.3.1 Molecular Interactions
    • • 3.3.2 Conformational Changes
    • • 3.3.3 Cellular Imaging
    • • 3.3.4 Drug Discovery
    • • 3.3.5 Clinical Diagnosis
    • • 3.3.6 Structural Biology
    • • 3.3.7 Materials Science
    • • 3.3.8 Environmental and Agricultural Sciences
    • • 3.4 Advantages and Limitations
    • • 3.5 Recent Advances
    • • 3.6 Conclusion
    • • Acknowledgements
    • • References
  4. Chapter 4: Dissect Protein Interactions Using Mass Spectrometry

    • • 4.1 Introduction
    • • 4.2 Affinity Purification Coupled with Mass Spectrometry (AP-MS)
    • • 4.3 Proximity Labeling
    • • 4.4 Cross-linking Mass Spectrometry (XL-MS)
    • • 4.5 Co-fractionation Coupled with Mass Spectrometry (CF-MS)
    • • 4.6 Thermal Proximity Co-aggregation (TPCA)
    • • 4.7 Limited Proteolysis–Mass Spectrometry (LiP–MS)
    • • 4.8 Conclusion and Outlook
    • • Acknowledgements
    • • References
  5. Chapter 5: Detection of Protein–Protein Interactions In Situ via Proximity Ligation Assay

    • • 5.1 Introduction
    • • 5.2 Implementations of Proximity Ligation Assay
    • • 5.3 Applications of PLA for Detecting Protein–Protein Interactions
    • • 5.4 Conclusions and Outlooks
    • • Acknowledgments
    • • References
  6. Chapter 6: Application of Surface Plasmon Resonance in the Characterization of Protein–Protein Interactions

    • • 6.1 Introduction
    • • 6.1.1 Protein–Protein Interactions
    • • 6.1.2 Principle of Surface Plasmon Resonance
    • • 6.1.3 Advantage of SPR
    • • 6.2 Applications of SPR Assays in PPIs Characterization
    • • 6.2.1 SPR Application in Binary PPI Systems
    • • 6.2.1.1 SPR Assay in Verifying and Measuring PPIs
    • • 6.2.1.2 SPR-Guided Screening and Optimization in Drug Discovery
    • • 6.2.1.3 SPR in the Validation of PPI Interface
    • • 6.2.2 SPR Application in Ternary PPI Systems
    • • 6.2.2.1 SPR-Based Epitope Competition Assays
    • • 6.2.2.2 SPR-Based Drug Discovery of PPI Modulators
    • • 6.2.2.3 SPR Applications in Targeted Protein Degradation
    • • 6.3 Advantages and Limitations of SPR Application for PPIs
    • • 6.4 Future Directions
    • • References
  7. Chapter 7: Computational Methods for Protein–Protein Interactions

    • • 7.1 Introduction
    • • 7.2 Protein–Protein Docking
    • • 7.2.1 Sampling
    • • 7.2.1.1 Traditional Search Algorithms
    • • 7.2.1.2 Deep Learning-Based Search Algorithms
    • • 7.2.2 Scoring
    • • 7.2.2.1 Traditional Scoring Function
    • • 7.2.2.2 Deep Learning-Based Scoring Function
    • • 7.2.3 Template-based Docking
    • • 7.3 End-to-end Structure Prediction
    • • 7.4 CAPRI Experiments
    • • 7.4.1 Casp13-capri
    • • 7.4.2 Casp14-capri
    • • 7.4.3 Casp15-capri
    • • 7.5 Challenges and Future Directions
    • • Acknowledgments
    • • Author Contributions
    • • References
  8. Chapter 8: Foldamers as Inhibitors of Aberrant Protein–Protein Interactions

    • • 8.1 Introduction
    • • 8.2 The Evolution of Hamilton’s Oligopyridylamides
    • • 8.3 Limitations of a Tedious Synthetic Route
    • • 8.4 OPs as Antagonists of Neurodegeneration
    • • 8.5 OPs Inhibit HIV Infection
    • • 8.6 OPs Targeting Type II Diabetes
    • • 8.7 OPs Targeting and Reactivating Mutant Protein in Cancer
    • • 8.8 Novel Synthesis of OPs and Alzheimer’s Disease
    • • 8.9 2d-fast
    • • 8.10 OQ Foldamers – Structure and Discovery
    • • 8.11 Synthesis of OQ Foldamers
    • • 8.12 OQs as Modulators of Type II Diabetes-Related aPPIs
    • • 8.13 Mechanistic Insights into OQ Manipulation of aPPIs
    • • 8.14 Chemical Diversity and Structure Modulate Efficacy of OQs
    • • 8.15 Modulation of Alzheimer’s Disease-Related Aβ
    • • 8.16 OQs for the Modulation of Synucleinopathies
    • • 8.17 Epilogue
    • • Acknowledgement
    • • References
  9. Chapter 9: Application of Sulfonyl-γ-AApeptides for PPI Drug Discovery

    • • 9.1 Introduction
    • • 9.2 Application of Sulfonyl-γ-AApeptides
    • • 9.2.1 Modulation of PPIs Involved in Cancer
    • • 9.2.1.1 Inhibition of β-catenin/B-cell lymphoma 9 PPIs
    • • 9.2.1.2 p53-MDM2/MDMX PPIs Inhibitor
    • • 9.2.1.3 HIF-1α PPI’s Inhibitor
    • • 9.2.2 Anti-Viral
    • • 9.2.2.1 HIV Fusion Inhibitor
    • • 9.2.2.2 Pan-Coronavirus Fusion inhibitor
    • • 9.2.3 Aβ-Oligomerization Modulation
    • • 9.2.4 Diabetes Therapeutics
    • • 9.3 Future Directions/Conclusion
    • • Acknowledgments
    • • References
  10. Chapter 10: Introduction of the Application of Stapled Peptides in Protein–Protein Interactions Drug Discovery and Their Successful Examples

    • • 10.1 Introduction
    • • 10.1.1 Stapled Peptides as a Solution to PPI Challenges
    • • 10.1.2 Growing Importance of PPIs in Drug Discovery
    • • 10.1.3 Early Development and Success of Stapled Peptides
    • • 10.1.4 Overview of the Chapter
    • • 10.2 Stapled Peptides: Structure Features and Benefits
    • • 10.2.1 Importance of α-Helical Structures in PPIs
    • • 10.2.2 Designing Stapled Peptides: Mechanism of Stapling
    • • 10.2.3 Additional Stapling Strategies
    • • 10.2.3.1 Lactamization Between Lysine and Glutamate/Aspartate
    • • 10.2.3.2 Azide–Alkyne Cycloaddition
    • • 10.2.3.3 C—H Activation
    • • 10.2.3.4 Cys–Cys Initiated Stapling Strategy
    • • 10.2.3.5 Tyrosine Stapling
    • • 10.2.4 Advantages of Stapled Peptides in Drug Discovery
    • • 10.2.4.1 Enhanced Proteolytic Stability
    • • 10.2.4.2 Improved Cell Permeability
    • • 10.2.4.3 Ability to Target Previously “Undruggable” PPIs
    • • 10.2.4.4 Specificity and Affinity Considerations
    • • 10.3 Successful Applications of Stapled Peptides in Drug Discovery
    • • 10.3.1 Targeting the MDM2–p53 Interaction
    • • 10.3.2 Targeting BCL-2 Family Proteins
    • • 10.3.3 Targeting the β-Catenin/TCF Interaction
    • • 10.3.4 Infectious Diseases
    • • 10.3.5 Clinical Progress and Future Directions
    • • 10.4 Challenges and Limitations
    • • 10.4.1 Manufacturing and Cost Considera

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