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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 19: The Use of Dynamic Pharmacophore in Computer-Aided Hit Discovery: A Case Study
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Chapter title
The Use of Dynamic Pharmacophore in Computer-Aided Hit Discovery: A Case Study
Chapter number 19
Book title
Rational Drug Design
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8630-9_19
Pubmed ID
Book ISBNs
978-1-4939-8629-3, 978-1-4939-8630-9
Authors

Ugo Perricone, Marcus Wieder, Thomas Seidel, Thierry Langer, Alessandro Padova, Perricone, Ugo, Wieder, Marcus, Seidel, Thomas, Langer, Thierry, Padova, Alessandro

Abstract

In recent years pharmacophore modeling has become increasingly popular due to the development of software solutions and improvement in algorithms that allowed researchers to focus on interactions between protein and ligands instead of technical details of the software. At the same time, progress in computer hardware made molecular dynamics (MD) simulations on regular PC hardware possible. MD simulations are usually used, within the virtual screening process, to take into account the flexibility of the target and studying it in more realistic way. In order to do so, it is customary to use simulations before the virtual screening process and then use them for collecting some specific conformation of the target used. Furthermore, some researchers have demonstrated that the use of multiple crystal structures of the same protein can be valuable to better explore the role of the ligand within the binding pocket and then evaluate the most important interactions that are created during the host-guest recognition process. Findings derived from the MD analysis, especially focused on interactions, can be in fact exploited as features for pharmacophore generation or constraints to be used in the molecular docking as integrated steps of the whole virtual screening process. In this chapter, we will present the recent advances in the field pharmacophore modeling combined with the use of MD, a field well explored by our research group in the last 2 years.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 30%
Student > Ph. D. Student 7 23%
Student > Master 4 13%
Professor > Associate Professor 2 7%
Student > Doctoral Student 1 3%
Other 2 7%
Unknown 5 17%
Readers by discipline Count As %
Chemistry 7 23%
Biochemistry, Genetics and Molecular Biology 5 17%
Pharmacology, Toxicology and Pharmaceutical Science 4 13%
Agricultural and Biological Sciences 2 7%
Unspecified 1 3%
Other 4 13%
Unknown 7 23%