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Advances in protein chemistry and structural biology. : Volume 94 /
This eclectic volume features two major topics: applications of mass spectrometry in bioscience; and computational methods for analysis of protein structure and interactions with other macromolecules. Published continuously since 1944, the Advances in Protein Chemistry and Structural Biology series...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford, England :
Academic Press,
2014.
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| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Front Cover; Advances in Protein Chemistry and Structural Biology; Copyright; Contents; Contributors; Chapter One: Bioinformatics Tools to Identify and Quantify Proteins Using Mass Spectrometry Data; 1. Introduction; 2. MS Data; 2.1. How MS generates data; 2.2. Tandem MS; 2.3. MS quantification techniques; 3. Protein Identification; 3.1. Bioinformatics tools for peptide identification; 3.1.1. De novo approach; 3.1.2. Database-searching approach; 3.1.3. Other approaches; 3.2. Bioinformatics tools for protein identification; 4. Protein Quantification; 4.1. Bioinformatics tools for ICAT data.
- 4.2. Bioinformatics tools for label-free data5. Conclusion; Acknowledgments; References; Chapter Two: Unraveling Oxidation-Induced Modifications in Proteins by Proteomics; 1. A Very Brief Introduction to Oxidative Stress and Redox Homeostasis; 2. Proteins as Targets of Oxidative Modification; 2.1. S-nitroso modifications of proteins; 2.2. Carbonylation; 2.3. Cysteine/disulfide oxidation: Cysteine-thiol chemistry and eletrophilic stress; 3. Redox Proteomics: The Comprehensive Study of Oxidation-Induced Protein Damage; 3.1. Technologies for redox proteomics screening.
- 3.1.1. Analysis of protein carbonylation/4-HNE adducts by MS3.1.2. Proteomics targeting the global thiol-cysteine state; 3.1.3. Nitrosoproteome approach for identifying S-nitrosoproteins; 4. The Use of Proteomics for Mapping the Redox Homeostasis Network: Lessons from Cancer Research; 5. Perspectives and Conclusions; References; Chapter Three: Role of Proteomics in Biomarker Discovery: Prognosis and Diagnosis of Neuropsychiatric Disorders; 1. Summary; 2. Commonly Used Methods for Proteome Characterization; 2.1. Two-dimensional gel electrophoresis and liquid chromatography.
- 2.2. Electrospray ionization, matrix-assisted laser desorption/ionization and surface-enhanced laser desorption/ionization2.3. In vitro chemical labeling; 2.3.1. Isotope-coded affinity tag; 2.3.2. Isobaric tag for relative and absolute quantitation; 2.4. In vivo metabolic labeling; 2.4.1. Stable isotope labeling with amino acids in cell culture; 2.4.2. 15N metabolic labeling; 3. Proteomics and Biomarker; 3.1. Peptide as biomarkers; 3.2. Posttranslational modifications as biomarkers; 4. Diagnosis of Neuropsychiatric Disorders; 4.1. Anxiety and depression; 4.2. Bipolar disorder.
- 4.3. Schizophrenia4.4. Alzheimer� s disease; 5. Proteomics of Neuropsychiatric Disorders; 5.1. Depression and anxiety; 5.2. Schizophrenia; 5.3. Alzheimer disease; 5.4. Bipolar disorder; 6. Strength, Weakness, and Future Challenges: Biomarker Discovery; 7. Concluding Remarks; References; Chapter Four: On the Use of Knowledge-Based Potentials for the Evaluation of Models of Protein-Protein, Protein-DNA, and P ... ; 1. Introduction; 2. Knowledge-Based Potentials; 2.1. Split-statistical potentials; 3. Modeling of Protein Interactions Using Templates; 3.1. Models of binary complexes.