Protein-Protein Interactions in Human Disease, Part A, Volume 110 aims to promote further research and development in the protein interaction network as a means to not only identify the critical proteins involved in the etiology of human diseases, but also identify new protein targets for drug development. Sections cover such topics as protein-protein interaction modulators for epigenetic therapies, intrinsic disorder, protein-protein interactions and disease, targeting protein-protein interactions in the ubiquitin-proteasome pathway, the proteomics of occupational diseases, and computational methods in predicting the impact of SNPs in protein-protein network, amongst other topics.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Contributors - p. ix 6. Preface - p. xi 7. Chapter One: Analysis of Protein Interactions by Surface Plasmon Resonance - p. xi 8. Chapter Two: Using TR-FRET to Investigate Protein–Protein Interactions: A Case Study of PXR-Coregulator Interaction - p. 30 9. Chapter Three: Protein–Protein Interaction Modulators for Epigenetic Therapies - p. 63 10. Chapter Four: Intrinsic Disorder, Protein–Protein Interactions, and Disease - p. 84 11. Chapter Five: Targeting Protein–Protein Interactions in the Ubiquitin–Proteasome Pathway - p. 121 12. Chapter Six: Probing the Protein–Protein Interaction Network of Proteins Causing Maturity Onset Diabetes of the Young - p. 165 13. Chapter Seven: Structural Prediction of Protein–Protein Interactions by Docking: Application to Biomedical Problems - p. 202 14. Chapter Eight: Computational Resources for Predicting Protein–Protein Interactions - p. 249
Protein-Protein Interactions in Human Disease, Part A, Volume 110 aims to promote further research and development in the protein interaction network as a means to not only identify the critical proteins involved in the etiology of human diseases, but also identify new protein targets for drug development. Sections cover such topics as protein-protein interaction modulators for epigenetic therapies, intrinsic disorder, protein-protein interactions and disease, targeting protein-protein interactions in the ubiquitin-proteasome pathway, the proteomics of occupational diseases, and computational methods in predicting the impact of SNPs in protein-protein network, amongst other topics.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Contributors - p. ix 6. Preface - p. xi 7. Chapter One: Analysis of Protein Interactions by Surface Plasmon Resonance - p. xi 8. Chapter Two: Using TR-FRET to Investigate Protein–Protein Interactions: A Case Study of PXR-Coregulator Interaction - p. 30 9. Chapter Three: Protein–Protein Interaction Modulators for Epigenetic Therapies - p. 63 10. Chapter Four: Intrinsic Disorder, Protein–Protein Interactions, and Disease - p. 84 11. Chapter Five: Targeting Protein–Protein Interactions in the Ubiquitin–Proteasome Pathway - p. 121 12. Chapter Six: Probing the Protein–Protein Interaction Network of Proteins Causing Maturity Onset Diabetes of the Young - p. 165 13. Chapter Seven: Structural Prediction of Protein–Protein Interactions by Docking: Application to Biomedical Problems - p. 202 14. Chapter Eight: Computational Resources for Predicting Protein–Protein Interactions - p. 249
