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Rational Drug Design

Overview of attention for book
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 24: Design of Drugs by Filtering Through ADMET, Physicochemical and Ligand-Target Flexibility Properties
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Chapter title
Design of Drugs by Filtering Through ADMET, Physicochemical and Ligand-Target Flexibility Properties
Chapter number 24
Book title
Rational Drug Design
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8630-9_24
Pubmed ID
Book ISBNs
978-1-4939-8629-3, 978-1-4939-8630-9
Authors

Marlet Martínez-Archundia, Martiniano Bello, Jose Correa-Basurto, Martínez-Archundia, Marlet, Bello, Martiniano, Correa-Basurto, Jose

Abstract

There is a synergistic interaction between medicinal chemistry, chemoinformatics, and bioinformatics. The last one includes analyses of sequences as well as structural analysis which employ computational techniques such as docking studies and molecular dynamics (MD) simulations. Over the last years these techniques have allowed the development of new accurate computational tools for drug design. As a result, there have been an increased number of publications where computational methods such as pharmacophore modeling, de novo drug design, evaluation of physicochemical properties, and analysis of ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties have been quite useful for eliminating the compounds with poor physicochemical or toxicological properties. Furthermore, using MD simulations and docking analysis, it is possible to estimate the binding energy of the protein-ligand complexes by using scoring functions, as well as to structurally depict the binding pose of the compounds on proteins, in order to select the best evaluated compounds for subsequent synthetizing and evaluation through biological assays. In this work, we describe some computational tools that have been used for structure-based drug design of new compounds that target histone deacetylases (HDACs), which are known to be potential targets in cancer and parasitic diseases.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 18%
Student > Bachelor 1 9%
Student > Ph. D. Student 1 9%
Student > Master 1 9%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 5 45%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 18%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Unspecified 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Chemistry 1 9%
Other 0 0%
Unknown 5 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 July 2023.
All research outputs
#16,353,381
of 24,086,622 outputs
Outputs from Methods in molecular biology
#5,682
of 13,597 outputs
Outputs of similar age
#277,739
of 449,837 outputs
Outputs of similar age from Methods in molecular biology
#590
of 1,478 outputs
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So far Altmetric has tracked 13,597 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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