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Rational Drug Design

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Cover of 'Rational Drug Design'

Table of Contents

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    Book Overview
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    Chapter 1 Molecular Dynamics Simulations on the Bioactive Molecule of hIAPP22–29 (NFGAILSS) and Rational Drug Design
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    Chapter 2 Development of Peptide-Based Inhibitors of Amylin Aggregation Employing Aromatic and Electrostatic Repulsion
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    Chapter 3 In Silico Drug Design: Non-peptide Mimetics for the Immunotherapy of Multiple Sclerosis
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    Chapter 4 Binding Moiety Mapping by Saturation Transfer Difference NMR
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    Chapter 5 Protein-Ligand Docking in Drug Design: Performance Assessment and Binding-Pose Selection
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    Chapter 6 Rational Drug Design Using Integrative Structural Biology
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    Chapter 7 Enalos+ KNIME Nodes: New Cheminformatics Tools for Drug Discovery
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    Chapter 8 Bioguided Design of Trypanosomicidal Compounds: A Successful Strategy in Drug Discovery
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    Chapter 9 A Hybrid Virtual Screening Protocol Based on Binding Mode Similarity
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    Chapter 10 Single Step Determination of Unlabeled Compound Kinetics Using a Competition Association Binding Method Employing Time-Resolved FRET
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    Chapter 11 Dynamic Undocking: A Novel Method for Structure-Based Drug Discovery
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    Chapter 12 The Impact of Lipophilicity in Drug Discovery: Rapid Measurements by Means of Reversed-Phase HPLC
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    Chapter 13 Exploring Polypharmacology in Drug Design
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    Chapter 14 Development of Nuclear Receptor Modulators
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    Chapter 15 In Silico Screening of Compound Libraries Using a Consensus of Orthogonal Methodologies
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    Chapter 16 Insights in Organometallic Synthesis of Various Adamantane Derivatives with Sigma Receptor-Binding Affinity and Antiproliferative/Anticancer Activity
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    Chapter 17 Supervised Molecular Dynamics (SuMD) Approaches in Drug Design
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    Chapter 18 Lead Identification Through the Synergistic Action of Biomolecular NMR and In Silico Methodologies
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    Chapter 19 The Use of Dynamic Pharmacophore in Computer-Aided Hit Discovery: A Case Study
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    Chapter 20 Rational Development of MAGL Inhibitors
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    Chapter 21 Application of Virtual Screening Approaches for the Identification of Small Molecule Inhibitors of the Methyllysine Reader Protein Spindlin1
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    Chapter 22 Designing Natural Product Hybrids Bearing Triple Antiplatelet Profile and Evaluating Their Human Plasma Stability
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    Chapter 23 Pharmacophore Generation and 3D-QSAR Model Development Using PHASE
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    Chapter 24 Design of Drugs by Filtering Through ADMET, Physicochemical and Ligand-Target Flexibility Properties
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    Chapter 25 Reactions in NMR Tubes as Key Weapon in Rational Drug Design
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    Chapter 26 Application of Multiscale Simulation Tools on GPCRs. An Example with Angiotensin II Type 1 Receptor
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    Chapter 27 Angiotensin II Type 1 Receptor Homology Models: A Comparison Between In Silico and the Crystal Structures
Attention for Chapter 21: Application of Virtual Screening Approaches for the Identification of Small Molecule Inhibitors of the Methyllysine Reader Protein Spindlin1
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Chapter title
Application of Virtual Screening Approaches for the Identification of Small Molecule Inhibitors of the Methyllysine Reader Protein Spindlin1
Chapter number 21
Book title
Rational Drug Design
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8630-9_21
Pubmed ID
Book ISBNs
978-1-4939-8629-3, 978-1-4939-8630-9
Authors

Chiara Luise, Dina Robaa, Luise, Chiara, Robaa, Dina

Abstract

Computer-based approaches represent a powerful tool which helps to identify and optimize lead structures in the process of drug discovery. Computer-aided drug design techniques (CADD) encompass a large variety of methods which are subdivided into structure-based (SBDD) and ligand-based drug design (LBDD) methods. Several approaches have been successfully used over the last three decades in different fields. Indeed also in the field of epigenetics, virtual screening (VS) studies and structure-based approaches have been applied to identify novel chemical modulators of epigenetic targets as well as to predict the binding mode of active ligands and to study the protein dynamics.In this chapter, an iterative VS approach using both SBDD and LBDD methods, which was successful in identifying Spindlin1 inhibitors, will be described. All protocol steps, starting from structure-based pharmacophore modeling, protein and database preparation along with docking and similarity search, will be explained in details.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Postgraduate 3 23%
Student > Master 2 15%
Lecturer 1 8%
Other 1 8%
Other 0 0%
Unknown 2 15%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 23%
Chemistry 3 23%
Biochemistry, Genetics and Molecular Biology 3 23%
Unspecified 1 8%
Unknown 3 23%