- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
This contributed volume focuses on computational methods and strategies employed in drug design, specifically targeting protein-protein interactions (PPIs). It provides a comprehensive overview of the basic principles of PPIs, computational techniques for predicting binding sites and complexes, and recent advancements in the field. The book features chapters authored by experts, with a strong emphasis on practical applications in drug discovery. Additionally, it highlights the challenges associated with designing PPI inhibitors and the emerging tools and methodologies, including artificial intelligence and machine learning, to address them. Overall, the book serves as a valuable resource for scientists and researchers interested in leveraging computational and structural biology approaches for designing drugs targeting PPIs.
Contents
Going Deep: The Power of Deep Learning to Uncover Disease-Driven Protein-Protein Interactions and Accelerate Drug Design.- Protein-Protein Interaction Network Analysis and Visualization Tools: A Comprehensive Review.- Cryo-Electron Microscopy in the Study of Protein-Protein Interactions.- Application of the TSR-Based Method in Detecting and Quantifying Ligand-Induced Conformational Changes of 14-3-3 Proteins.- A Comprehensive Case Study of Host-Pathogen Protein-Protein Interactions: Exploring the Human Proteins Targeted by HIV and MTB.- Computational Methods and Tools for the Design and Development of Small Molecule Inhibitors Targeting PPIs.- Peptides and Peptidomimetics as Inhibitors of Protein-Protein Interactions.- Protein Trimerization and Viral Fusion: Structural Insights and Therapeutic Applications.- A Compilation of Software Tools for Studying Protein-Protein Interactions.



