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Protein-Ligand Interactions and Drug Design / edited by Flavio Ballante

Material type: materialTypeLabelE-bookSeries: (Methods in Molecular Biology, 1940-6029; 2266).Publisher: New York, NY : Springer International Publising, 2021Edition: 1st edition 2021.Description: 1 recurso en línea (XV, 327 páginas) : 107 ilustraciones, 81 ilustraciones a color.ISBN: 9781071612095.Subject: Medicamentos -- Diseño | FarmacologíaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Investigation of the Click-Chemical Space for Drug Design Using ZINClick -- Molecular Scaffold Hopping via Holistic Molecular Representation -- Biased Docking for Protein-Ligand Pose Prediction -- Binding Mode Prediction and Virtual Screening Applications by Covalent Docking -- Ligand-Receptor, Ligand-DNA Interactions and Drug Design -- Simulation of Ligand Transport in Receptors Using CaverDock -- Negative Image-Based Screening: Rigid Docking Using Cavity Information -- Negative Image-Based Rescoring: Using Cavity Information to Improve Docking Screening -- Fragment-Based Drug Design of Selective HDAC6 Inhibitors -- A Protocol to Use Comparative Binding Energy Analysis to Estimate Drug-Target Residence Time -- Dynamic Docking Using Multicanonical Molecular Dynamics: Simulating Complex Formation at the Atomistic Level -- Free Energy Calculations for Protein-Ligand Binding Prediction -- Exploiting Water Dynamics for Pharmacophore Screening -- Markov State Models to Elucidate Ligand Binding Mechanism -- From Homology Modeling to the Hit Identification and Drug Repurposing: A Structure-Based Approach in the Discovery of Novel Potential Anti-Obesity Compounds -- Multiple Target Drug Design Using LigBuilder 3 -- Bionoi: A Voronoi Diagram-Based Representation of Ligand-Binding Sites in Proteins for Machine Learning Applications -- MDock: A Suite for Molecular Inverse Docking and Target Prediction.
Summary: This detailed book collects modern and established computer-based methods aimed at addressing the drug discovery challenge from disparate perspectives by exploiting information on ligand-protein recognition. Beginning with methods that allow for the exploration of specific areas of chemical space and the designing of virtual libraries, the volume continues with sections on methods based on docking, quantitative models, and molecular dynamics simulations, which are employed for ligand discovery or development, as well as methods exploiting an ensemble of protein structures for the identification of potential protein targets. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Protein-Ligand Interactions and Drug Design provides detailed practical procedures of solid computer-aided drug design methodologies employed to rationalize and optimize protein-ligand interactions, for experienced researchers and novices alike.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud RS418 2021 EB (Browse shelf(Opens below)) Acceso electrónico eBook.20122398
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Investigation of the Click-Chemical Space for Drug Design Using ZINClick -- Molecular Scaffold Hopping via Holistic Molecular Representation -- Biased Docking for Protein-Ligand Pose Prediction -- Binding Mode Prediction and Virtual Screening Applications by Covalent Docking -- Ligand-Receptor, Ligand-DNA Interactions and Drug Design -- Simulation of Ligand Transport in Receptors Using CaverDock -- Negative Image-Based Screening: Rigid Docking Using Cavity Information -- Negative Image-Based Rescoring: Using Cavity Information to Improve Docking Screening -- Fragment-Based Drug Design of Selective HDAC6 Inhibitors -- A Protocol to Use Comparative Binding Energy Analysis to Estimate Drug-Target Residence Time -- Dynamic Docking Using Multicanonical Molecular Dynamics: Simulating Complex Formation at the Atomistic Level -- Free Energy Calculations for Protein-Ligand Binding Prediction -- Exploiting Water Dynamics for Pharmacophore Screening -- Markov State Models to Elucidate Ligand Binding Mechanism -- From Homology Modeling to the Hit Identification and Drug Repurposing: A Structure-Based Approach in the Discovery of Novel Potential Anti-Obesity Compounds -- Multiple Target Drug Design Using LigBuilder 3 -- Bionoi: A Voronoi Diagram-Based Representation of Ligand-Binding Sites in Proteins for Machine Learning Applications -- MDock: A Suite for Molecular Inverse Docking and Target Prediction.

This detailed book collects modern and established computer-based methods aimed at addressing the drug discovery challenge from disparate perspectives by exploiting information on ligand-protein recognition. Beginning with methods that allow for the exploration of specific areas of chemical space and the designing of virtual libraries, the volume continues with sections on methods based on docking, quantitative models, and molecular dynamics simulations, which are employed for ligand discovery or development, as well as methods exploiting an ensemble of protein structures for the identification of potential protein targets. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Protein-Ligand Interactions and Drug Design provides detailed practical procedures of solid computer-aided drug design methodologies employed to rationalize and optimize protein-ligand interactions, for experienced researchers and novices alike.

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