Protein interactions as targets in drug discovery /
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
[Place of publication not identified] :
Academic Press,
2020.
|
Colección: | Advances in protein chemistry and structural biology ;
v. 121. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover
- Advances in Protein Chemistry and Structural Biology
- Protein Interactions as Targets in Drug Discovery
- Copyright
- Contents
- Contributors
- One
- Latest trends in structure based drug design with protein targets
- 1. Introduction
- 2. Basics of thermodynamics
- 3. Forces responsible for protein-ligand interactions
- 4. Receptors of their characteristics
- 5. Physico-chemical principles of protein-ligand binding
- 6. Thermodynamic models of receptor-protein-ligand bindings
- 7. Computational techniques in structure based drug discovery
- 8. Final words
- Acknowledgments
- References
- Two
- Computational approaches for identifying potential inhibitors on targeting protein interactions in drug discovery
- 1. Introduction
- 2. Protein-ligand and protein-protein interactions in diseases
- 2.1 Targeting protein-ligand interactions
- 2.2 Druggable proteome
- 2.3 Protein-protein interactions: expanding the druggable proteome
- 3. Computational approaches
- 3.1 Structure based drug design
- 3.2 Virtual screening
- 3.3 Fragment based drug design
- 3.3.1 Fragment growing
- 3.3.2 Fragment linking
- 3.4 Modeling and docking
- 3.5 Molecular dynamics simulations
- 3.6 Quantitative structure activity relationship
- 3.7 Proteochemometric and polypharmacological modeling
- 4. Applications
- 4.1 Mimicking Bcl-2 PPIs in cancer
- 4.1.1 QSAR models
- 4.1.2 Scaffold hopping
- 4.2 Inhibitors for RNA polymerase in dengue
- 4.2.1 Fragment based drug design
- 4.2.2 Quercetin derivatives as potential inhibitors
- 4.2.3 Flavonoids as potential inhibitors
- 4.3 Inhibitors for cYes kinase in cancer
- 4.3.1 Structure based virtual screening
- 4.3.2 Structure based (SB) and pharmacophore based (PB) tandem screening
- 4.3.3 Contest based approach for identifying potential inhibitors of cYes kinase
- 4.4 Mutation specific inhibitors for EGFR in cancer
- 5. Conclusions
- Acknowledgments
- References
- Three
- Role of protein-protein interactions in allosteric drug design for DNA methyltransferases
- 1. Introduction
- 2. DNMT family structures
- 2.1 Domain structures and protein-protein interactions of DNMT1 and DNMT3A
- 2.2 Allosteric regulations of DNMT1 and DNMT3A involved in the protein-protein interactions
- 3. Theory and methodology
- 3.1 PSN and MD
- 3.2 Normal mode analysis of elastic network model
- 3.3 Perturbation response scanning approach
- 3.4 Sequence co-evolution
- 3.5 Identification of allosteric pockets
- 4. DNMT1
- 4.1 ANM applications
- 4.2 GNM applications
- 4.3 PRS calculations
- 4.4 PSN with MD simulations
- 4.5 Coevolutionary analysis
- 4.6 Potential allosteric pockets
- 5. DNMT3A
- 5.1 ANM applications
- 5.2 GNM applications
- 5.3 PSN applications
- 5.4 Coevolutionary analysis
- 5.5 Allosteric paths
- 5.6 Potential allosteric pockets
- 6. Concluding remarks
- Acknowledgments
- References
- Four
- Physicochemical determinants of antibody-protein interactions