Proteomics for Drug Discovery

Methods and Protocols
1. Auflage 2017
ISBN: 978-1-4939-7200-5
Verlag: Humana

Buch, Englisch, 302 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 7392 g

Reihe: Methods in Molecular Biology

This book reflects the drug development community’s interest in proteomics methods by providing researchers with the necessary knowledge for the implementation of a number of basic experimental and bioinformatics protocols in the drug discovery research laboratory. The focus of the collection is on select protocols and methodologies that address the analysis of post-translational modifications, targeted protein quantification, protein-protein, protein-lipid, or protein-ATP interactions, in silico lead identification, protein arrays, tissue and cell extract preparation, labeling, chemoproteomics, and drug efficacy assessment. Emphasis was placed not just on methods that describe large-scale protein analysis, but also on ones that are amenable to future implementation in a high-throughput format. Written in the highly successful  Methods in Molecular Biology  series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. 
Practical and authoritative,  Proteomics for Drug Discovery: Methods and Protocols  aims to provide a deep knowledge of the fundamentals of disease biology as well the means that were developed for probing the complex biological milieu.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Lazar, Iulia M.

Kontoyianni, Maria

Lazar, Alexandru C.

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Pharmakologie, Toxikologie
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Naturwissenschaften Chemie Chemie Allgemein Pharmazeutische Chemie, Medizinische Chemie
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Proteinforschung
• Naturwissenschaften Chemie Analytische Chemie Massenspektrometrie, Spektroskopie, Spektrochemie

Inhaltsverzeichnis

A Photoaffinity Labeling-Based Chemoproteomics Strategy for Unbiased Target Deconvolution of Small Molecule Drug Candidates.- Multiplexed Liquid Chromatography-Multiple Reaction Monitoring Mass Spectrometry Quantification of Cancer Signaling Proteins.- Monitoring Dynamic Changes of the Cell Surface Glycoproteome by Quantitative Proteomics.- High Resolution Parallel Reaction Monitoring with Electron Transfer Dissociation for Middle-Down Proteomics: An Application to Study the Quantitative Changes Induced by Histone Modifying Enzyme Inhibitors and Activators.- Preparation and Immunoaffinity Depletion of Fresh Frozen Tissue Homogenates for Mass Spectrometry-Based Proteomics in the Context ofDrug Target/Biomarker Discovery.- Target Identification Using Cell Permeable and Cleavable Chloroalkane Derivatized Small Molecules.- Microfluidics-Mass Spectrometry of Protein-Carbohydrate Interactions: Applications to Development of Therapeutics and Biomarker Discovery.- Studying Protein-Protein Interactions by Biotin AP-Tagged Pulldown and LTQ-Orbitrap Mass Spectrometry.- Post-Translational Modification Profiling-Functional Proteomics for the Analysis of Immune Regulation.- Reverse Phase Protein Arrays and Drug Discovery.- Probing Protein Kinase-ATP Interactions Using a Fluorescent ATP Analog.- Preparation of Disease-Related Protein Assemblies for Single Particle Electron Microscopy.- Identification of Lipid-Binding Modulators Using the Protein-Lipid Overlay Assay.- Resazurin Live Cell Assay: Setup and Fine-Tuning for Reliable Cytotoxicity.- Exploring Protein-Protein Interactions as Drug Targets for Anti-Cancer Therapy with In Silico Workflows.- Method to Identify Silent Codon Mutations that May Alter Peptide Elongation Kinetics and Co-Translational Protein Folding.- In Silico Design of Anticancer Peptides.- Docking and Virtual Screening in Drug Discovery.- Bioinformatics Resources for Interpreting Proteomics Mass Spectrometry Data.