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Advance in Structural Bioinformatics

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Cover of 'Advance in Structural Bioinformatics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Structural Bioinformatics
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    Chapter 2 JVM: Java Visual Mapping Tool for Next Generation Sequencing Read.
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    Chapter 3 Advancement of Polarizable Force Field and Its Use for Molecular Modeling and Design
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    Chapter 4 Systematic Methods for Defining Coarse-Grained Maps in Large Biomolecules
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    Chapter 5 Quantum Calculation of Protein NMR Chemical Shifts Based on the Automated Fragmentation Method
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    Chapter 6 Applications of Rare Event Dynamics on the Free Energy Calculations for Membrane Protein Systems
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    Chapter 7 Extended Structure of Rat Islet Amyloid Polypeptide in Solution
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    Chapter 8 Folding Mechanisms of Trefoil Knot Proteins Studied by Molecular Dynamics Simulations and Go-model
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    Chapter 9 Binding Induced Intrinsically Disordered Protein Folding with Molecular Dynamics Simulation
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    Chapter 10 Theoretical Studies on the Folding Mechanisms for Different DNA G-quadruplexes
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    Chapter 11 RNA Folding: Structure Prediction, Folding Kinetics and Ion Electrostatics
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    Chapter 12 Binding Modes and Interaction Mechanism Between Different Base Pairs and Methylene Blue Trihydrate: A Quantum Mechanics Study
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    Chapter 13 Drug inhibition and proton conduction mechanisms of the influenza a m2 proton channel.
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    Chapter 14 Exploring the Ligand-Protein Networks in Traditional Chinese Medicine: Current Databases, Methods and Applications
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    Chapter 15 Evolutionary Optimization of Transcription Factor Binding Motif Detection
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    Chapter 16 Prediction of Serine/Threonine Phosphorylation Sites in Bacteria Proteins
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    Chapter 17 Bioinformatics Tools for Discovery and Functional Analysis of Single Nucleotide Polymorphisms
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    Chapter 18 An Application of QM/MM Simulation: The Second Protonation of Cytochrome P450
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    Chapter 19 Recent Progress on Structural Bioinformatics Research of Cytochrome P450 and Its Impact on Drug Discovery
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    Chapter 20 Human Cytochrome P450 and Personalized Medicine
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    Chapter 21 The α7 nAChR Selective Agonists as Drug Candidates for Alzheimer's Disease.
  23. Altmetric Badge
    Chapter 22 Bayesian Analysis of Complex Interacting Mutations in HIV Drug Resistance and Cross-Resistance.
Attention for Chapter 21: The α7 nAChR Selective Agonists as Drug Candidates for Alzheimer's Disease.
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Chapter title
The α7 nAChR Selective Agonists as Drug Candidates for Alzheimer's Disease.
Chapter number 21
Book title
Advance in Structural Bioinformatics
Published in
Advances in experimental medicine and biology, January 2015
DOI 10.1007/978-94-017-9245-5_21
Pubmed ID
Book ISBNs
978-9-40-179244-8, 978-9-40-179245-5
Authors

Huaimeng Fan, Ruoxu Gu, Dongqing Wei

Abstract

The nicotinic acetylcholine receptors (nAChRs) are ion channels distribute in the central or peripheral nervous system. They are receptors of the neurotransmitter acetylcholine and activation of them by agonists mediates synaptic transmission in the neuron and muscle contraction in the neuromuscular junction. Current studies reveal relationship between the nAChRs and the learning and memory as well as cognation deficit in various neurological disorders such as Alzheimer's disease, Parkinson's disease, schizophrenia and drug addiction. There are various subtypes in the nAChR family and the α7 nAChR is one of the most abundant subtypes in the brain. The α7 nAChR is significantly reduced in the patients of Alzheimer's disease and is believed to interact with the Aβ amyloid. Aβ amyloid is co-localized with α7 nAChR in the senile plaque and interaction between them induces neuron apoptosis and reduction of the α7 nAChR expression. Treatment with α7 agonist in vivo shows its neuron protective and procognation properties and significantly improves the learning and memory ability of the animal models. Therefore, the α7 nAChR agonists are excellent drug candidates for Alzheimer's disease and we summarized here the current agonists that have selectivity of the α7 nAChR over the other nAChR, introduced recent molecular modeling works trying to explain the molecular mechanism of their selectivity and described the design of novel allosteric modulators in our lab.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Researcher 3 12%
Student > Doctoral Student 2 8%
Student > Master 2 8%
Student > Bachelor 2 8%
Other 3 12%
Unknown 8 31%
Readers by discipline Count As %
Neuroscience 6 23%
Pharmacology, Toxicology and Pharmaceutical Science 3 12%
Psychology 2 8%
Medicine and Dentistry 2 8%
Agricultural and Biological Sciences 1 4%
Other 1 4%
Unknown 11 42%
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 13 November 2014.
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#20,242,779
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Outputs from Advances in experimental medicine and biology
#3,955
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#295,623
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Outputs of similar age from Advances in experimental medicine and biology
#188
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