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Download Product Flyer is to download PDF in new tab. 124, 4.4.3 The Yin and Yang of Chemoproteomic-Guided Drug Discovery 124, 5 Label-Free Techniques for Target Discovery and Validation 131Daniel Martinez Molina and Michael Dabrowski, 5.4.1 Generation of Active Hit Molecules 142, 5.4.2 Tool Generation (Small Screens to Identify Tool Compounds) 143, 5.4.3 Target Classes That are In and Out of Scope and Difficult Targets 143, 5.4.4 Focused or Iterative Library Screening 144, 5.4.7 Phenotypic Hit Deconvolution to Discover Targets 145, 5.5.2 Selectivity, Specificity, and Safety 148, 5.5.3 Translation Bench to Bedside (via Animals) 149, 6 Reverse Translation to Support Efficient Drug Target Selection and Stratified Medicine 153Lauren Drowley and Martin Armstrong, 6.2 Genetics to Date in Drug Discovery 154, 6.3 Genetic Strategies for Target Discovery 156, 6.3.2.1 Rare Mutation→Rare Disease Drug Discovery 161, 6.3.2.2 Rare Mutation→Common Disease Drug Discovery 161, 6.4.1 Prioritization of Putative Mutations 165, 6.4.2 Determining Functional Consequence of Mutation 165, 6.4.2.3 Model Systems: ‘The Tissue is the Issue’ 168, 6.4.3 Druggability: From Validation of a Gene to a Druggable Target 169, 7 Elucidating Target Biology and Drug Mechanism of Action Across Human Cell-Based Model Systems 179John C. Dawson and Neil O. Carragher, 7.2 Advances in Human Cell-Based Model Development 182, 7.2.1 Next-Generation Sequencing (NGS) 183, 7.2.3 Induced Pluripotent Stem Cell Biology 184, 7.2.5 Microfluidic and Organ-on-a-Chip Devices 186, 7.3 Multiparametric High-Content Phenotypic Profiling of Target Biology and Drug Mechanism of Action 191, 7.3.1 High-Content Cell Painting in Functional Genomics 193, 7.3.2 Integration of Multiparametric High-Content Imaging with Chemoinformatics 195, 7.3.3 Guiding Chemical Design and Target Selectivity from Multiparametric High-Content Analysis 195, 7.4 Target-Annotated Compound Libraries for Phenotypic Screening and MOA Determination 196, 7.5 Quantitative Pathway Profiling Across New Model Systems 197, 7.5.1 Pathway Profiling at the Gene Transcription Level 198, 7.5.2 Dynamic Post-Translational Pathway Profiling Across Dose–Response and Time-Series Studies 199, 8 Cell Biology Methods in Target Validation 211Manfred Koegl and Simon Wöhrle, 8.2.1 Direct Target Engagement Biomarkers 212, 8.2.2 Indirect Target Engagement Biomarkers and Pathway Biomarkers 213, 8.3 Direct Evidence to Show That Modulation of a Target Leads to a Cellular Response 219, 8.4 Direct Evidence That Target Modulation is Responsible for Cellular Responses by Mutations Conferring Sensitivity to Existing Drugs 219, 8.4.1 The ‘Bump-and-Hole’ Approach to Generate Sensitivity to Small Molecule Inhibitors 219, 8.4.2 Chemogenomic Approaches for Inducible Degradation of Protein Targets 222, 9 Genetic Manipulation/Modulation for Target Discovery and Validation 233Christophe Lanneau, Georges Kalouche, Xinming Cai, Francois Lo-Presti, and Christoph Potting, 9.2 Overview of the Development of Leading Genetic Manipulation Technologies 234, 9.2.2 Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) 237, 9.3 Considerations for Designing and Interpreting CRISPR Experiments 238, 9.3.1 Methodological Considerations for Genetic Manipulation by the CRISPR/Cas Technology 238, 9.3.2 Choosing a Cellular Model: Biological and Genomic Aspects 239, 9.3.3.1 Identification of Target Locations 242, 9.3.3.2 Selection of Spacer Sequences 245, 9.3.4 Successful Application of the CRISPR/Cas Technology 249, 9.3.4.1 Delivering CRISPR Reagents to Target Cells 249, 9.3.4.2 Check for Anticipated Knockout/Knock-In 252, 9.4 Further Developments of the CRISPR/Cas Technology Facilitates Additional Modes of Genetic Perturbation 253, 9.5 The CRISPR/Cas Technology in Target Discovery and Validation 254, 9.5.1 CRISPR/Cas Technology for Early Target Validation 254, 9.5.2 CRISPR Screens and Use for Target Discovery 255, 9.5.3 CRISPR Screens: General Principle and Considerations 256, 9.5.4 Selected Examples of Target Discovery Using CRISPR Screens to Illustrate the Breadth of Applications 258, 9.6 Application of CRISPR Genome Editing in Immunology Studies 260, 10 Computational Approaches for Target Inference 277Gerhard Hessler, Christoph Grebner, and Hans Matter, 10.2 Data Annotation for Target Identification 278, 10.3 In Silico Methods for Target Identification 280, 10.3.1 2D Similarity Methods for Target Inference 283, 10.3.2 3D Similarity Methods for Target Inference 289, 10.3.4 QSAR Models and Machine Learning 292, 10.3.5 Experimentally Derived Molecular Descriptors 297, 10.3.7 Protein–Protein and Ligand–Target Networks 302, 11 Bioinformatic Approaches in the Understanding of Mechanism of Action (MoA) 323Maria-Anna Trapotsi, Ian Barrett, Ola Engkvist, and Andreas Bender, 11.1.1 Some Definitions: Mechanism Versus Mode of Action 323, 11.1.2 Importance of MoA and Target Prediction in the Drug Discovery Process 324, 11.1.3 Different Levels of Information in Mechanism of Action and Target Prediction 325, 11.2 Transcriptomics Data and Databases 326, 11.2.1 Biological Background of the Transcription Process 326, 11.2.2.1 Applications of CMap in MoA Deconvolution 328, 11.2.3 Library of Integrated Network-Based Cellular Signatures (LINCS) 331, 11.2.3.1 LINCS L1000 Data Exploration 332, 11.2.3.2 Applications of L1000 Data in MoA Understanding 333, 11.3.3 Pathways in the Understanding of MoA 345, 11.3.3.1 Methodology 1: MoA Analysis by Annotating Predicted Compounds’ Targets with Pathways 345, 11.3.4 Combination of Gene Expression and Pathway Data 346, 11.3.4.1 Methodology 2: Construction of Drug Networks (DNs) with Gene Expression Data and Pathway Annotations 346, 11.3.4.2 Methodology 3: Link Drug Target and Pathway Activation to Understand MoA 347, 11.4.1 Image Data and Where to Extract Them From 348, 11.4.2 Application of Image-Based Data in Target Prediction and Better Understanding of MoA 350, 11.4.2.1 Methodology 1: Clustering of Compounds Based on Cell Morphology 350, 11.4.2.2 Methodology 2: Use of Image-Based Data in the Development of a Cell Morphology Database That Can Facilitate Drug Target Identification 350, 11.4.2.3 Methodology 3: Use of Image Data in Drug Repositioning and Biological Activity Prediction 353, 11.4.2.4 Methodology 4: Association of Genes with Context-Dependent Morphology Alterations from Cells Exposed to Chemical or Genetic Perturbations for MoA Elucidation 354, Methods and Principles in Medicinal Chemistry. Raimund Mannhold (Series Editor), Target deconvolution is the identification and validation of the molecular target(s) that underlie observed phenotypic responses of small molecules ().Target deconvolution is a rapidly advancing field as the result of the resurging popularity of phenotypic drug discovery , where lack of knowledge of the molecular target can make medicinal chemistry and drug ⦠This is a dummy description. Once a target-based approach is embarked upon, the choice of target ⦠Further technology development will be covered, and the impact of the CRISPR/Cas technology on target discovery and validation ⦠In terms of strategies for drug development, the latter two steps are common to all modes, that is, screening and lead optimization are required. It also remains a formidable challenge and companies continue to invest a lot of resources in finding and validating good drug ⦠Target Identification & Validation for Early Drug Discovery Early stages of drug discovery start with initial steps of target identification and moves to the later stages of lead optimization. In line with growth, they are searching for an experienced Principal Scientist with strong Target Validation ⦠Copyright © 2000-document.write(new Date().getFullYear()) by John Wiley & Sons, Inc., or related companies. Title:USP7: Target Validation and Drug Discovery for Cancer Therapy VOLUME: 14 ISSUE: 1 Author(s):Jin Zhou*, Jinzheng Wang, Chao Chen, Haoliang Yuan, Xiaoan Wen* and Hongbin Sun* Affiliation:Jiangsu Key Laboratory of Drug Discovery for Metabolic Disease and State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, Jiangsu Key Laboratory of Drug Discovery ⦠Drug discovery and development is often plagued by candidate attrition and late-phase failure. Helmut Buschmann (Series Editor), Summary. Target Assessment & Validation. Target validation in drug discovery generally involves characterizing the pharmacological response resulted from modulating the activity of a target protein. Main approaches to target discovery and validation Mouldy Sioud 2. 123, 4.4.2 How Can We Discover New Drugs in the Future? The major reason for the elevated costs of drug development in the pharmaceutical industry is the high attrition rate. 400 Pages, Request permission to reuse content from this site, 1 Chemical Strategies for Evaluating New Drug Targets 1Adrian J. Carter, Raina Seupel, Paul E. Brennan, Michael Sundström, Andrea Introini, and Anke Mueller-Fahrnow, 1.2 Use Cases and Case Studies for Chemogenomic Compounds and Chemical Probes 5, 1.2.3 Use of Biological Target Panels and Profiling 8, 1.3.1 From BIX01294 to EPZ035544: Development and Improvement of G9a/GLP Inhibitors 10, 1.4 Compound-Based Target Evaluation with Patient-Derived Cells 14, 1.4.1 Compound-Based Target Evaluation 14, 1.4.4 Case Story: Inflammatory Bowel Disease (IBD) Tissue Platform 18, 2 Affinity-Based Chemoproteomics for Target Identification 25Annika Jenmalm Jensen and Ivan Cornella Taracido, 2.2 Small Molecule Phenotypic Mechanism of Action Elucidation 29, 2.3 Quantitative High-Resolution Mass Spectrometry as a Protein Detection Read-Out 30, 2.4 In-Lysate Affinity-Based Chemical Proteomics 33, 2.4.2 General Experimental Pulldown Workflow 36, 2.5 In-Cell Light-Activated Affinity-Based Chemoproteomics 39, 2.5.1 Design of the Reactive Photoaffinity Probe (PAL Probe) 40, 2.6 Target Validation and Mode of Action 43, 3 Activity-Based Protein Profiling 51Nattawadee Panyain, Cassandra R. Kennedy, Ryan T. Howard, and Edward W. Tate, 3.2 Activity-Based Probe (ABP) and Affinity-Based Probe (AfBP) Design 53, 3.2.4 Bioorthogonal Ligation Chemistry 57, 3.2.4.2 Copper(I)-Catalysed Azide-Alkyne Cycloaddition (CuAAC) 58, 3.2.4.3 Strain-Promoted Azide-Alkyne Cycloaddition (SPAAC) 59, 3.3.1 Quantitative Proteomics by Mass Spectrometry 61, 3.3.1.1 Label-Free Quantification (LFQ) 61, 3.3.1.2 Chemical Labelling Quantification 61, 3.3.1.3 Metabolic Labelling Quantification 63, 3.4 ABPP Applications and Case Studies 63, 3.4.1 Case Study 1: Activity-Based Protein Profiling as a Robust Method for Enzyme Identification and Screening in Extremophilic Archaea 65, 3.4.2 Case Study 2: Failed Clinical Trial of a Fatty Acid Amide Hydrolase (FAAH) Inhibitor 68, 3.4.3 Case Study 3: Target Identification of Small Molecule Inhibitors 71, 3.4.3.1 New Target Profiling for Sulforaphane 71, 3.4.3.2 Profiling USP Inhibitors in Human Cell Lines as Potential Therapeutic Molecules 73, 3.4.4 Case Study 4: Fragment-Based Ligand Discovery Aided by Photoaffinity Labelling 74, 3.4.5 Case Study 5: Quenched Fluorescent Activity-Based Probe (qABP) Design and Application in Protein Localization 80, 4 Kinobeads: A Chemical Proteomic Approach for Kinase Inhibitor Selectivity Profiling and Target Discovery 97Maria Reinecke, Stephanie Heinzlmeir, Mathias Wilhelm, Guillaume Médard, Susan Klaeger, and Bernhard Kuster, 4.1 Kinase Inhibitor Target Deconvolution Using Chemical Proteomics 97, 4.1.1 Polypharmacology of Small Molecule Kinase Inhibitors 97, 4.1.2 Chemoproteomic Profiling of Kinase Inhibitors 100, 4.1.3 Tips and Tricks Regarding Chemoproteomic Assay Development 103, 4.2.5 Peptide and Protein Identification and Quantification 112, 4.3 Application Examples for Kinobeads 113, 4.3.1 Expanding the Target Space of Kinobeads 113, 4.3.2 Target Space Deconvolution of Small Molecule Kinase Inhibitors 116, 4.3.3 Opportunities Arising from Inhibitor Polypharmacology: Drug Repositioning 120, 4.3.4 Chemoproteomic-Guided Medicinal Chemistry 121, 4.4 Kinobeads, Inhibitors, and Drug Discovery: Where are We Heading? He has been instrumental in delivering a number of compounds into the clinic, including two compounds currently in phase 2 clinical trials, and has authored more than 50 publications and patents. Current methods and applications of the CRISPR/Cas technology will be outlined followed by key considerations for successful genetic manipulation experiments. Find many great new & used options and get the best deals for Methods and Principles in Medicinal Chemistry Ser. Target identification in drug discovery Identifying the biological origin of a disease, and the potential targets for intervention, is the first step in the discovery of a medicine. Bioinformatics approaches to cancer gene discovery Ramaswamy Narayanan 3. 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