Anmerkung: Intro -- Preface -- Organization -- Contents -- Gravitational Waves: Detectors to Detections -- References -- Big Data Challenges of FAST -- 1 Introduction -- 2 CRAFTS Pulsar Data Challenge -- 3 CRAFTS Data Processing -- 4 Discussion and Conclusion -- References -- CSSDC Big Data Processing and Applications in Space Science Missions -- 1 Introduction -- 2 Difficulties of Data Processing -- 3 CSSDC Data System -- 4 Anomaly Detection -- 5 Discussion -- Reference -- Information Services of Big Remote Sensing Data -- 1 Introduction -- 2 Challenges of Big Remote Sensing Data Services -- 3 Framework for Information Services of Big Remote Sensing Data -- 4 Discussions -- 5 Conclusions -- References -- Data Management in Time-Domain Astronomy: Requirements and Challenges -- 1 Introduction -- 2 Background -- 3 Preliminaries -- 3.1 Problem Definition -- 3.2 Camera Array Processing Flow -- 4 Functional Analysis and Requirements -- 4.1 Real-Time Storage -- 4.2 Cross-Match -- 4.3 High Scalability -- 4.4 Data Mining -- 5 Major Challenges -- 5.1 Customized Operators -- 5.2 Large-Scale Data Management -- 5.3 Scalable Query Processing -- 5.4 Long-Term Data Storage -- 6 Candidate Systems -- 6.1 SciDB -- 6.2 OceanBase -- 6.3 MonetDB -- 6.4 MongoDB -- 6.5 Spark -- 7 Summary -- References -- AstroServ: A Distributed Database for Serving Large-Scale Full Life-Cycle Astronomical Data -- 1 Introduction -- 2 Background -- 2.1 GWAC Project -- 2.2 Data Sources -- 3 AstroServ's Architecture -- 3.1 Detect Service on Streaming -- 3.2 Real-Time Data Service -- 3.3 Long-Term Data Service -- 3.4 Query Engine -- 3.5 Other Components -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 5 Related Work -- 6 Summary -- References -- AstroBase: Distributed Long-Term Astronomical Database -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 GWAC Telescope Array. , 2.2 Astronomical Data Management Related Work -- 3 Design Concepts -- 3.1 Scalability -- 3.2 Low Latency -- 3.3 Parallelism -- 4 System Architecture -- 4.1 Overall Architecture -- 4.2 Distributed Data Storage Scheme with Mixed Memory and Hard Disk -- 4.3 Astronomical Data Offline Management and Mining Framework -- 4.3.1 Parallel Data Entry Mechanism -- 4.3.2 Calculating the Integration Data -- 4.3.3 Data Blocking -- 5 Experiments -- 5.1 Astrobase Data Storage Performance Experiments -- 5.2 Astrobase Query Performance Experiments -- 6 Conclusion -- Acknowledgement -- References -- An Efficient Parallel Framework to Analyze Astronomical Sky Survey Data -- 1 Introduction -- 2 Background and Related Work -- 3 Architecture -- 3.1 Task Scheduling -- 3.2 Analysis Pipeline and Parallel Neural Network Training -- 3.3 System Implementation -- 4 Offline Time Series Data Mining Application -- 4.1 Anomaly Detection of Astronomical Sky Survey Data -- 4.2 Train a Deep Network in the Distributed Setting with Astronomical Sky Survey Data -- 5 Conclusion -- References -- Real-Time Query Enabled by Variable Precision in Astronomy -- Abstract -- 1 Introduction -- 2 Background -- 2.1 GWAC -- 2.2 HEALPix -- 3 Related Work -- 4 Implementation -- 5 Experiment -- 6 Summary -- Acknowledgement -- References -- Continuous Cross Identification in Large-Scale Dynamic Astronomical Data Flow -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 3.1 Scientific Data Process Pipeline -- 3.2 Catalog Cross Identification -- 4 Experiments -- 5 Summary -- Acknowledgement -- References -- Scientific Data Management and Application in High Energy Physics -- Abstract -- 1 Introduction -- 2 HEP Data Processing Workflow -- 3 Data Management Framework -- 3.1 Data Acquisition -- 3.2 Data Storage and Access -- 3.3 Data Processing and Distributed Computing. , 3.4 Distributed Data Management and Transfer -- 3.5 Data Preservation and Sharing Data Preservation and Sharing -- 4 Event-Based Management System -- 5 Conclusions -- Acknowledgements -- References -- EventDB: A Large-Scale Semi-structured Scientific Data Management System -- 1 Introduction -- 2 Background -- 2.1 Data Processing -- 2.2 HBase and Fuse -- 3 Related Work -- 4 The Architecture -- 4.1 Data Storage -- 4.2 Data Processing -- 4.3 Data Sharing -- 5 Evaluation -- 5.1 Experiments Setup -- 6 Conclusion -- References -- An Operator Library System for HEP Events Processing Based on Hbase Coprocessor -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 ROOT Framework -- 2.2 Hbase Coprocessor -- 3 Design and Implementation of the System -- 3.1 Operator Library -- 3.2 Event Analysis Process -- 3.3 System Analysis -- 4 System Performance Evaluations -- 5 Conclusions -- References -- Event-Oriented Caching System for ROOT Data Analysis in HEP -- 1 Introduction -- 2 Related Work to the Event-Oriented Caching System -- 3 The Traditional Data Storage Method -- 4 Design and Implementation of the Event-Oriented Caching System -- 4.1 Event Abstraction -- 4.2 Event Serialization -- 4.3 Event Import -- 4.4 Data Access Interface -- 4.5 Cache Replacement Strategy -- 5 Evaluation and Analysis of Event-Oriented Caching System -- 5.1 Storage Mode Comparison -- 5.2 Data Access Comparison -- 6 Conclusion -- References -- Automated and Intelligent Data Migration Strategy in High Energy Physical Storage Systems -- Abstract -- 1 Introduction -- 1.1 Prediction Model -- 1.2 File Access Heat -- 2 File Access Feature Construction -- 3 Overall System Design -- 4 Experiments and Tests -- 5 Conclusion -- Acknowledgments -- References -- Using Hadoop for High Energy Physics Data Analysis -- Abstract -- 1 Introduction -- 2 HEP Data Analysis -- 3 New Data Access in HDFS. , 3.1 Implementation -- 3.2 Performance -- 4 Use Case in IHEP -- 4.1 User Interface and Monitoring -- 4.2 Status in IHEP -- 5 Conclusion -- Acknowledgment -- References -- Cross-Domain Data Access System for Distributed Sites in HEP -- Abstract -- 1 Introduction -- 2 Streaming and Cache in File System -- 2.1 Traditional Distributed File System -- 2.2 Streaming and Cache -- 3 System Design and Implementation -- 3.1 CacheD -- 3.2 TransferD -- 3.3 File Plugin -- 4 Benchmarks -- 4.1 Test Environment -- 4.2 Test for Read Performance -- 4.3 Test for Stability with Network Delay Jitter -- 5 Conclusion -- Acknowledgments -- References -- Multi-dimensional Index over a Key-Value Store for Semi-structured Data -- 1 Introduction -- 2 Background -- 3 Multi-dimensional Index Design -- 4 Experimental Evaluation -- 5 Conclusion -- References -- Technology Dependency Graph (TDG): A Scientific Literature Mining Based Method for Technology Insight -- Abstract -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 3.1 Basic Concepts -- 3.2 Architecture -- 3.3 Information Extraction Module -- 3.4 TDG Construction Module -- 3.5 Technology Insight Based on TDG -- 4 Case Study -- 4.1 Construction for TDG of DSSC -- 4.2 Technology Insight -- 5 Conclusion -- Acknowledgement -- References -- PGCAS: A Parallelized Graph Clustering Algorithm Based on Spark -- 1 Introduction -- 2 PGCAS Algorithm -- 3 Experiment Descriptions -- 3.1 Datasets and Measurement Metrics Introduction -- 3.2 Experimental Results -- 4 Conclusions -- References -- Query Associations Over Big Financial Knowledge Graph -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Query Mapping -- 3.2 Problem Definition -- 4 Query Processing -- 4.1 Dual-Nodes Association Query (DAQ) -- 4.2 Multi-nodes Association Query (MAQ) -- 5 Experiments -- 5.1 Dataset -- 5.2 Query Efficiency. , 5.3 Case Study -- 6 Conclusion -- Acknowledgments -- References -- CMCloud: An Autonomous Monitoring System for Big Data Processing Platform -- Abstract -- 1 Introduction -- 2 Autonomous Monitoring Architecture -- 2.1 Sequential Flow Control -- 2.2 Program/Data Unified Entry -- 2.3 Artificial Intelligence Libraries Manager -- 3 Implementation -- 4 Evaluation -- 4.1 Dynamic Extension of Storage Server -- 4.2 Load Migration -- 5 Conclusion -- Acknowledgment -- References -- Short-Timescale Gravitational Microlensing Events Prediction with ARIMA-LSTM and ARIMA-GRU Hybrid Model -- 1 Introduction -- 2 Related Work -- 3 ARIMA-LSTM and ARIMA-GRU Hybrid Models -- 3.1 ARIMA+LSTM Model -- 3.2 ARIMA+GRU Model -- 4 Experiment Method -- 4.1 Dataset -- 4.2 Model Fitting -- 4.3 The Algorithm -- 5 Results and Evaluation -- 5.1 Testing Results on Simulation Dataset -- 5.2 Testing Results on Mini-GWAC -- 5.3 Comparison Between LSTM and GRU -- 6 Conclusion -- References -- Application of Blockchain Technology in Data Management: Advantages and Solutions -- Abstract -- 1 Introduction -- 2 Blockchain Technology Overview -- 3 Difficulties in Data Management -- 3.1 Low Data Quality -- 3.2 Data Security Is Threatened -- 3.3 Data Is not Shared -- 4 Application Advantages of Blockchain Technology in Data Management -- 4.1 Decentralization Allows All Nodes to Participation -- 4.2 Blocks and Chain Structure Supports Data Traceability -- 4.3 Encryption Algorithm Guarantees Data Security -- 4.4 Smart Contracts for Automatic Verification -- 4.5 Consensus Mechanism Ensures Data Consistency -- 5 Blockchain-Based Data Management Scheme -- 5.1 Data Collaborative Management Model -- 5.2 User Authentication Process -- 5.3 Data Validation Process -- 5.4 Data Recording Process -- 5.5 Data Sharing Process -- 5.6 Data Management Incentive System -- 6 Discussion and Conclusion. , Acknowledgment.

Anmerkung: Intro -- Preface -- Contents -- Notation -- 1 Introduction -- 1.1 Linear Equations -- 1.2 Univariate Linear Matrix Equations -- 1.2.1 Lyapunov Matrix Equations -- 1.2.2 Kalman-Yakubovich and Normal Sylvester Matrix Equations -- 1.2.3 Other Matrix Equations -- 1.3 Multivariate Linear Matrix Equations -- 1.3.1 Roth Matrix Equations -- 1.3.2 First-Order Generalized Sylvester Matrix Equations -- 1.3.3 Second-Order Generalized Sylvester Matrix Equations -- 1.3.4 High-Order Generalized Sylvester Matrix Equations -- 1.3.5 Linear Matrix Equations with More Than Two Unknowns -- 1.4 Coupled Linear Matrix Equations -- 1.5 Complex Conjugate Matrix Equations -- 1.6 Overview of This Monograph -- 2 Mathematical Preliminaries -- 2.1 Kronecker Products -- 2.2 Leverrier Algorithms -- 2.3 Generalized Leverrier Algorithms -- 2.4 Singular Value Decompositions -- 2.5 Vector Norms and Operator Norms -- 2.5.1 Vector Norms -- 2.5.2 Operator Norms -- 2.6 A Real Representation of a Complex Matrix -- 2.6.1 Basic Properties -- 2.6.2 Proof of Theorem 2.7 -- 2.7 Consimilarity -- 2.8 Real Linear Spaces and Real Linear Mappings -- 2.8.1 Real Linear Spaces -- 2.8.2 Real Linear Mappings -- 2.9 Real Inner Product Spaces -- 2.10 Optimization in Complex Domain -- 2.11 Notes and References -- Part I Iterative Solutions -- 3 Smith-Type Iterative Approaches -- 3.1 Infinite Series Form of the Unique Solution -- 3.2 Smith Iterations -- 3.3 Smith (l) Iterations -- 3.4 Smith Accelerative Iterations -- 3.5 An Illustrative Example -- 3.6 Notes and References -- 4 Hierarchical-Update-Based Iterative Approaches -- 4.1 Extended Con-Sylvester Matrix Equations -- 4.1.1 The Matrix Equation AXB+CoverlineXD=F -- 4.1.2 A General Case -- 4.1.3 Numerical Examples -- 4.2 Coupled Con-Sylvester Matrix Equations -- 4.2.1 Iterative Algorithms -- 4.2.2 Convergence Analysis -- 4.2.3 A More General Case. , 4.2.4 A Numerical Example -- 4.3 Complex Conjugate Matrix Equations with Transpose of Unknowns -- 4.3.1 Convergence Analysis -- 4.3.2 A Numerical Example -- 4.4 Notes and References -- 5 Finite Iterative Approaches -- 5.1 Generalized Con-Sylvester Matrix Equations -- 5.1.1 Main Results -- 5.1.2 Some Special Cases -- 5.1.3 Numerical Examples -- 5.2 Extended Con-Sylvester Matrix Equations -- 5.2.1 The Matrix Equation AXB+CoverlineXD=F -- 5.2.2 A General Case -- 5.2.3 Numerical Examples -- 5.3 Coupled Con-Sylvester Matrix Equations -- 5.3.1 Iterative Algorithms -- 5.3.2 Convergence Analysis -- 5.3.3 A More General Case -- 5.3.4 Numerical Examples -- 5.3.5 Proofs of Lemmas 5.15 and 5.16 -- 5.4 Notes and References -- Part II Explicit Solutions -- 6 Real-Representation-Based Approaches -- 6.1 Normal Con-Sylvester Matrix Equations -- 6.1.1 Solvability Conditions -- 6.1.2 Uniqueness Conditions -- 6.1.3 Solutions -- 6.2 Con-Kalman-Yakubovich Matrix Equations -- 6.2.1 Solvability Conditions -- 6.2.2 Solutions -- 6.3 Con-Sylvester Matrix Equations -- 6.4 Con-Yakubovich Matrix Equations -- 6.5 Extended Con-Sylvester Matrix Equations -- 6.6 Generalized Con-Sylvester Matrix Equations -- 6.7 Notes and References -- 7 Polynomial-Matrix-Based Approaches -- 7.1 Homogeneous Con-Sylvester Matrix Equations -- 7.2 Nonhomogeneous Con-Sylvester Matrix Equations -- 7.2.1 The First Approach -- 7.2.2 The Second Approach -- 7.3 Con-Yakubovich Matrix Equations -- 7.3.1 The First Approach -- 7.3.2 The Second Approach -- 7.4 Extended Con-Sylvester Matrix Equations -- 7.4.1 Basic Solutions -- 7.4.2 Equivalent Forms -- 7.4.3 Further Discussion -- 7.4.4 Illustrative Examples -- 7.5 Generalized Con-Sylvester Matrix Equations -- 7.5.1 Basic Solutions -- 7.5.2 Equivalent Forms -- 7.5.3 Special Solutions -- 7.5.4 An Illustrative Example -- 7.6 Notes and References. , 8 Unilateral-Equation-Based Approaches -- 8.1 Con-Sylvester Matrix Equations -- 8.2 Con-Yakubovich Matrix Equations -- 8.3 Nonhomogeneous Con-Sylvester Matrix Equations -- 8.4 Notes and References -- 9 Conjugate Products -- 9.1 Complex Polynomial Ring ( mathbbC [s],+,) -- 9.2 Division with Remainder in ( mathbbC[s], +, ) -- 9.3 Greatest Common Divisors in ( mathbbC[s], +, ) -- 9.4 Coprimeness in ( mathbbC[s], +, ) -- 9.5 Conjugate Products of Polynomial Matrices -- 9.6 Unimodular Matrices and Smith Normal Form -- 9.7 Greatest Common Divisors -- 9.8 Coprimeness of Polynomial Matrices -- 9.9 Conequivalence and Consimilarity -- 9.10 An Example -- 9.11 Notes and References -- 10 Con-Sylvester-Sum-Based Approaches -- 10.1 Con-Sylvester Sum -- 10.2 Con-Sylvester-Polynomial Matrix Equations -- 10.2.1 Homogeneous Case -- 10.2.2 Nonhomogeneous Case -- 10.3 An Illustrative Example -- 10.4 Notes and References -- Part III Applications in Systems and Control -- 11 Stability for Antilinear Systems -- 11.1 Stability for Discrete-Time Antilinear Systems -- 11.2 Stochastic Stability for Markovian Antilinear Systems -- 11.3 Solutions to Coupled Anti-Lyapunov Equations -- 11.3.1 Explicit Iterative Algorithms -- 11.3.2 Implicit Iterative Algorithms -- 11.3.3 An Illustrative Example -- 11.4 Notes and References -- 11.4.1 Summary -- 11.4.2 A Brief Overview -- 12 Feedback Design for Antilinear Systems -- 12.1 Generalized Eigenstructure Assignment -- 12.2 Model Reference Tracking Control -- 12.2.1 Tracking Conditions -- 12.2.2 Solution to the Feedback Stabilizing Gain -- 12.2.3 Solution to the Feedforward Compensation Gain -- 12.2.4 An Example -- 12.3 Finite Horizon Quadratic Regulation -- 12.4 Infinite Horizon Quadratic Regulation -- 12.5 Notes and References -- 12.5.1 Summary -- 12.5.2 A Brief Overview -- References -- Index.

Anmerkung: Intro -- Future Optical Materials and Circuit Design -- Preface and Organizing Committee -- Table of Contents -- Chapter 1: Materials with Pronounced Optical and Electric Properties, Laser Technologies -- Quantum Confinement of GaAs Nanocrystals Deposited on PMMA Microspheres Using Pulsed Laser Ablation -- Two-Photon Absorption Photochromic Optical Image Storage in Indoly-Benzylfulgimide/PMMA Film -- Optical Characterization of Thiophene Blending with Non-Conjugated Polymer at Different Composition -- Characterization of Poly(N-vinlycarbazole) Blending with Different Composition by Using Polarized Electronic Spectroscopy -- Optical Storage Properties of Different Fulgides -- New Laser Cutting Technology of Sapphire Wafers on Crystals -- Theoretical Studies on the Electronic Structures and Spectral Properties of Two Iridium(III) Complexes with Tetraphenylimidodiphosphinate Ligand -- A Comparative Analysis of Ytterbium-Erbium Media for 1.5 μm Lasers -- Optical Properties of Diamond-Like Carbon Films Modified by Platinum -- Autocatalytic Photo-Oxidation Process of C3-C4 Fraction to Methanol -- Study of the Electrical Contact Properties of Monolayer MoS2/Si Heterojunction -- Thermoelectric Properties of Half-Heusler TiCoSb1-xSnx Synthesized by Mechanical Alloying Process -- Chapter 2: Mechanical Engineering and Manufacture Applications -- Abrasive Wear: Design of Experiment (DOE) for Determining the Wear on Crowns Used by Drilling Companies for Mineral Surveys -- Inherent Characteristic Analysis for Torsional Vibration of a Planetary Transmission -- Simulated Comparison of Impact Pad and the Experimental Swirling Chamber in Tundish -- The Research of Iron-Steel Production Physical Distribution Technology Economic for Our Country -- Progress in Recycling of Plastic Packaging Wastes -- A New Method of Constructing a Disc for Concrete Surface Floating. , Theoretical Analysis of the Sole Plate of Semi-Rigid Light Steel Column Footings on the Basis of Winkler Model of Elastic Foundation Beam -- Chapter 3: Circuit and Microcircuit Design Engineering, Control and Electronics Applications -- A Novel Dual-Mode Low Pass Sigma-Delta Modulator Chip Design for WCDMA and Bluetooth Applications -- A Current Reused Divided-by-Two Frequency Divider -- Energy Efficient Multi-Hop Wireless Sensor Networks with Cooperative MIMO Scheme -- Theoretical Modeling and Simulation of Higher Order FWM Crosstalks in Multichannel WDM Optical Communication Systems -- Research and Implementation of Control Method for Time Grating Rotary Table with High Precision -- Energy Management System Research for Wind-PV-ES Hybrid Microgrid Based on Storage Battery -- Optimization on Attacking Block Cipher with Parallel Computing of GPU -- A Packet-Combining Algorithm Based on SSLVPN with Hardware Acceleration Devices -- Smart Energy Saving Classroom System Using Programmable Logic Controller -- Null Compensator Testing Convex Freeform Surface Mirror with CGH Technology -- Chapter 4: AI in Design Engineering -- Software Reliability Test Methods Based on Component Composition and Markov Process -- Location Selection of Public Transit Transfer Hubs Based on Gray NN Model Improved by GA -- The DOA Estimation Algorithm Based on a New Decoherence Method -- An Improved Ad Hoc Network Communication Based on Cluster -- Scale and Orientation Adaptive Moving Object Tracking in a Sequence of Imageries -- SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services -- A Novel Method for Text Similarity Calculation -- Mobile SSL VPN Based on Port Forwarding -- A Wireless Wormhole Detection Model Based on Packet Leashes -- RETRACTED: Probabilistic, Cacheable Epistemologies. , Construction of Smart Building Skins with Flow and Bend Split Products -- Development of a Portable Fingerprint Attendance System for University Student -- Keyword Index -- Author Index.

Anmerkung: Cover -- Title Page -- Copyright -- Contents -- Preface -- 1 Protein Analysis by Shotgun Proteomics1 -- 1.1 Introduction -- 1.1.1 Terminology -- 1.1.2 Power of Shotgun Proteomics -- 1.1.3 Advantage of Shotgun Proteomics -- 1.2 Overview of Shotgun Proteomics -- 1.3 Sample Preparation -- 1.3.1 Protein Separation -- 1.3.2 Protein Modification -- 1.3.3 Protein Digestion -- 1.4 Peptide Separation and Data Acquisition -- 1.4.1 Peptide Separation -- 1.4.2 Peptide Ionization -- 1.4.3 Mass Analyzer -- 1.4.4 Peptide Fragmentation Method -- 1.4.5 Acquisition Mode -- 1.5 Informatics -- 1.5.1 Peptide Identification -- 1.5.2 Peptide/Protein Quantitation -- 1.5.3 Protein Inference -- References -- 2 Quantitative Proteomics for Analyses of Multiple Samples in Parallel with Chemical Perturbation -- 2.1 Introduction -- 2.2 Relative and Absolute Label‐Free Quantitation Strategies -- 2.3 Stable Isotope‐Based Quantitative Proteomics -- 2.3.1 Relative Quantitation -- 2.3.2 Absolute Quantitation -- 2.4 Conclusion -- 2.5 Methodology -- 2.6 Notes -- Acknowledgments -- References -- 3 Chemoproteomic Analyses by Activity‐Based Protein Profiling -- 3.1 Introduction -- 3.2 How ABPP Works -- 3.3 ABPP Probe Design -- 3.3.1 Mechanism‐Based Probes -- 3.3.2 Reactivity‐Based Probes -- 3.3.3 Photoaffinity Probes -- 3.4 ABPP and Mass Spectrometry for Chemoproteomics -- 3.4.1 Determining ABP Target Identity -- 3.4.2 Considerations for Analyzing ABP Targets with MS -- 3.4.3 Determining the Site of ABP Labeling -- 3.4.4 Quantification of ABPP Probe Targets -- 3.5 ABPP Applications and Recent Advances -- 3.5.1 Using ABPs for Functional Protein Annotation -- 3.5.2 ABPPs Applied to Microbes and Their Communities -- 3.6 ABPP Applied to Drug Discovery -- 3.7 Comparative, Competitive, and Convolution ABPP -- 3.8 Conclusions and The Outlook of ABPP -- Acknowledgments -- References. , 4 Activity‐Based Probes for Profiling Protein Activities -- 4.1 Introduction -- 4.2 Design of Activity‐Based Probes -- 4.2.1 The Reactive Group -- 4.2.2 The Linker -- 4.2.3 The Tag -- 4.3 Analytical Platforms for ABPP -- 4.3.1 Gel‐Based Platforms -- 4.3.2 Mass Spectrometry Platforms for ABPP -- 4.3.3 Microarray Platform for ABPP -- 4.3.4 Capillary Electrophoresis Platform for ABPP -- 4.4 Classes of Enzymes Studied by ABPP -- 4.4.1 Serine Hydrolases -- 4.4.2 Cysteine Proteases -- 4.4.3 Metallohydrolases -- 4.4.4 Glycosidases -- 4.4.5 Protein Kinases -- 4.4.6 Protein Phosphatases -- 4.5 Conclusions -- Acknowledgment -- References -- 5 Chemical Probes for Proteins and Networks -- 5.1 Introduction -- 5.1.1 Probe Design and Validation -- 5.1.2 Application to a Proteomics Workflow -- 5.1.3 Quantitative Chemical Proteomics -- 5.2 Application of Metabolic Chemical Probes to Lipidated Protein Networks -- 5.2.1 Chemical Probes for  N‐Myristoylation -- 5.2.2 Chemical Probes for Hedgehog Proteins -- 5.3 Chemical Probes for Target Identification -- 5.3.1 Identifying New Target Profiles of Sulforaphane in Breast Cancer Cells -- 5.3.2 Target Profiling of Zerumbone Using a Novel Clickable Probe -- 5.4 Protocol -- 5.4.1 Introduction -- 5.4.2 Materials -- 5.4.3 Method -- 5.5 Notes -- References -- 6 Probing Biological Activities with Peptide and Peptidomimetic Biosensors -- 6.1 Introduction -- 6.2 Peptide Biosensors for Assignment and Characterization of Enzymatic Reactions and Substrate Specificity -- 6.3 Screening Inhibitors and Detecting Ligand Interactions -- 6.4 Diagnostic and Clinical Applications -- 6.5 Profiling Enzymatic Activity -- 6.6 Protocol -- Materials -- Methods -- 6.7 Conclusion -- References -- 7 Chemoselective Tagging to Promote Natural Product Discovery -- 7.1 Introduction -- 7.2 Nonreversible Mass Spectrometry Tags -- 7.2.1 Azides and Alkynes. , 7.2.2 Thiols -- 7.2.3 Aminooxy -- 7.3 Reversible Enrichment Tags -- 7.3.1 Boronic Acids -- 7.3.2 Hydrazines -- 7.3.3 Silanes -- 7.3.4 Disulfides -- 7.4 Conclusions -- 7.5 Protocol for Enrichment of Carboxylic‐Acid‐Containing Natural Products -- 7.5.1 Dialkylsiloxane Resin Synthesis -- 7.5.2 Production of S. rochei Extract -- 7.5.3 Chemoselective Capture -- 7.5.4 Release of Carboxylic‐Acid‐Containing Compounds from Resin -- References -- 8 Identification and Quantification of Newly Synthesized Proteins Using Mass Spectrometry‐Based Chemical Proteomics -- 8.1 Introduction -- 8.2 Protein Labeling to Study Newly Synthesized Proteins -- 8.2.1 Radioactive Labeling -- 8.2.2 Protein Labeling with Fluorescent Probes -- 8.2.3 SILAC Labeling -- 8.2.4 Protein Labeling with Noncanonical Amino Acids -- 8.3 Global Identification of Newly Synthesized Proteins by Noncanonical Amino Acids and MS -- 8.4 Comprehensive Quantification of Newly Synthesized Proteins by MS -- 8.5 Materials -- 8.5.1 Cell Culture and AHA Labeling -- 8.5.2 Cell Lysis -- 8.5.3 Enrichment of Newly Synthesized Proteins Using Click Chemistry -- 8.5.4 On‐Bead Protein Reduction, Alkylation, and Digestion -- 8.5.5 Peptide Desalting -- 8.5.6 TMT Labeling -- 8.5.7 Peptide Fractionation -- 8.5.8 StageTips -- 8.5.9 LC-MS/MS Analysis -- 8.5.10 Database Searches and Data Filtering -- 8.6 Methods -- 8.6.1 Cell Culture with AHA Labeling -- 8.6.2 Cell Lysis and Protein Extraction -- 8.6.3 Enrichment of Newly Synthesized Proteins -- 8.6.4 On‐Bead Reduction, Alkylation, and Digestion -- 8.6.5 Peptide Desalting -- 8.6.6 TMT Labeling -- 8.6.7 Peptide Fractionation -- 8.6.8 StageTip Purification -- 8.6.9 LC-MS/MS Analysis -- 8.6.10 Database Searches, Data Filtering, and Half‐Life Calculation of Newly Synthesized Proteins -- Acknowledgments -- References -- 9 Tracing Endocytosis by Mass Spectrometry. , 9.1 Introduction -- 9.2 Clathrin‐Mediated Endocytosis -- 9.2.1 Proteins Involved in the Formation of Clathrin‐Coated Vesicles -- 9.2.2 Molecular Mechanism for CCV Formation -- 9.2.3 Vesicle Uncoating and Fusion with Endosomal Compartments -- 9.3 Mass Spectrometry as a Tool to Study Endocytosis -- 9.3.1 Isolation of Clathrin‐Coated Vesicles and Analysis Using Mass Spectrometry -- 9.3.2 Chemical Proteomic Approaches for Studying the Endocytosis -- 9.4 Protocols for TITAN -- 9.4.1 Materials -- 9.4.2 Dendrimer Functionalization -- 9.4.3 Internalization of Dendrimer by HeLa and MS Sample Preparation -- 9.4.4 Mass Spectrometry and Data Analysis -- 9.5 Conclusion and Future Directions -- References -- 10 Functional Identification of Target by Expression Proteomics (FITExP) -- 10.1 Introduction -- 10.2 FITExP Protocol -- 10.2.1 Cell Line(s) and Drugs/Compounds Selection -- 10.2.2 Drug Treatments of Cell Cultures -- 10.2.3 Cell Lysis and Protein Extraction -- 10.2.4 Estimation of Protein Concentration and Protein Sample Processing -- 10.2.5 Protein Digestion -- 10.2.6 Peptide TMT (Tandem Mass Tag) Labeling and Desalting -- 10.2.7 High pH Fractionation TMT -- 10.2.8 Mass Spectrometry Analysis -- 10.2.9 Data Analysis -- References -- 11 Target Discovery Using Thermal Proteome Profiling -- 11.1 Introduction -- 11.2 Thermodynamics of Ligand Binding as a Measure of Target Engagement -- 11.3 Thermal Proteome Profiling - Proteome‐wide Detection of Drug-Target Interactions -- 11.3.1 Overview -- 11.3.2 Distinguishing Direct Drug Targets from Downstream Effectors of Drug Action -- 11.4 Experimental Formats -- 11.4.1 Temperature‐Range Experiment (TPP‐TR) -- 11.4.2 Compound Concentration‐Range Experiment (TPP‐CCR) -- 11.4.3 Two‐Dimensional TPP (2D‐TPP) -- 11.5 Experimental Protocol -- 11.6 Reagents -- 11.6.1 Step 1: Compound Treatment. , 11.6.2 Step 2: Temperature Treatment -- 11.6.3 Step 3: Protein Digestion and Labeling -- 11.6.4 Step 4: Mass Spectrometric Analysis of Samples -- 11.6.5 Step 5: Peptide and Protein Identification and Quantification -- 11.6.6 Step 6: Data Handling and Analysis -- 11.7 Present Challenges with TPP -- 11.8 CETSA to TPP - Where Are We Heading? -- References -- 12 Chemical Strategies to Glycoprotein Analysis -- 12.1 Introduction -- 12.2 Sample Preparation Strategies for Glycoproteomics -- 12.2.1 Enzymatic/Chemical Modification for Glycopeptide Enrichment -- 12.2.2 Enrichment of Glycans or Glycopeptides by Physical-Chemical Approaches -- 12.3 MS Analysis -- 12.3.1 Glycoproteomic Analysis by Mass Spectrometry -- 12.3.2 Bioinformatics and Data Analysis -- 12.4 Conclusions -- References -- 13 Proteomic Analysis of Protein-Lipid Modifications: Significance and Application -- 13.1 Introduction -- 13.2 Chemical Proteomic Approach to Identify Lipidated Proteins -- 13.2.1 Fatty Acylation -- 13.2.2 Prenylation -- 13.2.3 Modification with Cholesterol and GPI Anchors -- 13.3 Protocol for Proteomic Analysis of Prenylated Proteins -- 13.3.1 Materials -- 13.3.2 Procedure -- 13.3.3 Results -- References -- 14 Site‐Specific Characterization of Asp‐ and Glu‐ADP‐Ribosylation by Quantitative Mass Spectrometry -- 14.1 Introduction -- 14.2 Materials -- 14.2.1 Cell Culture -- 14.2.2 Generation of Stable Cell Lines Expressing shPARG -- 14.2.3 Sample Preparation for Mass Spectrometry -- 14.2.4 Mass Spectrometry Analysis -- 14.2.5 Equipment -- 14.3 Methods -- 14.3.1 Generation of shPARG‐Expressing Cell Line -- 14.3.2 SILAC Cell Culture -- 14.3.3 Cell Lysis -- 14.3.4 Reduction, Alkylation, and Precipitation of Proteins -- 14.3.5 Protein Digestion and Enrichment of the PARylated Peptides -- 14.3.6 Cleanup of the Peptide -- 14.3.7 Mass Spectrometry Analysis and Data Processing. , 14.4 Notes.

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