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05445nam a2200505 4500 |
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ocn878143935 |
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OCoLC |
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20180501122018.0 |
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m o d |
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140329t20142014enka ob 001 0 eng d |
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|a E7B
|b eng
|e rda
|e pn
|c E7B
|d OCLCQ
|d OCLCO
|d OPELS
|d OCLCF
|d YDXCP
|d OCLCQ
|d EBLCP
|d N$T
|d DEBSZ
|d OCLCO
|d UAB
|d OCLCQ
|d MERUC
|d GrThAP
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|a 874322750
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|a 9780128003732
|q (electronic bk.)
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|a 0128003731
|q (electronic bk.)
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|a 9780128001684
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|a (OCoLC)878143935
|z (OCoLC)874322750
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|a QP551
|b .A383 2014eb
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|a SCI
|x 013040
|2 bisacsh
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|a 572.605
|2 23
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| 049 |
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|a TEFA
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| 245 |
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|a Advances in protein chemistry and structural biology.
|n Volume 94 /
|c edited by Rossen Donev ; contributors Enoch P. Baldwin [and twenty six others].
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| 250 |
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|a First edition.
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| 264 |
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1 |
|a Oxford, England :
|b Academic Press,
|c 2014.
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| 264 |
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|c ©2014
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| 300 |
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|a 1 online resource (484 pages) :
|b illustrations
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 504 |
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|a Includes bibliographical references at the end of each chapters and indexes.
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|a Online resource; title from PDF title page (ebrary, viewed March 29, 2014).
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|a 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 has been the essential resource for protein chemists. Each volume brings forth new information about protocols and analysis of proteins. Each thematically organized volume is guest edited by leading experts in a broad range of protein-related topics.
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|a 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.
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|a 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.
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|a 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.
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|a 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.
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| 505 |
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|a 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.
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| 650 |
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0 |
|a Proteins
|x Structure.
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| 650 |
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7 |
|a SCIENCE
|x Chemistry
|x Organic.
|2 bisacsh
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| 650 |
|
7 |
|a Proteins
|x Structure.
|2 fast
|0 (OCoLC)fst01079759
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| 655 |
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4 |
|a Electronic books.
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| 700 |
1 |
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|a Donev, Rossen,
|e editor.
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| 700 |
1 |
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|a Baldwin, Enoch P.,
|e contributor.
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| 776 |
0 |
8 |
|i Print version:
|t Advances in protein chemistry and structural biology. Volume 94.
|b First edition.
|d Oxford, England : Academic Press, ©2014
|h xi, 471 pages
|z 9780128001684
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| 856 |
4 |
0 |
|u https://www.sciencedirect.com/science/bookseries/18761623/94
|z Full Text via HEAL-Link
|
