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Quantum Mechanics in Drug Discovery

Overview of attention for book
Cover of 'Quantum Mechanics in Drug Discovery'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Current and Future Challenges in Modern Drug Discovery
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    Chapter 2 QM Implementation in Drug Design: Does It Really Help?
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    Chapter 3 Guiding Medicinal Chemistry with Fragment Molecular Orbital (FMO) Method
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    Chapter 4 Analyzing Interactions with the Fragment Molecular Orbital Method
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    Chapter 5 Underappreciated Chemical Interactions in Protein–Ligand Complexes
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    Chapter 7 Taking Water into Account with the Fragment Molecular Orbital Method
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    Chapter 8 Computational Methods for Biochemical Simulations Implemented in GAMESS
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    Chapter 9 Accurate Scoring in Seconds with the Fragment Molecular Orbital and Density-Functional Tight-Binding Methods
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    Chapter 10 Protein Molecular Dynamics Simulations with Approximate QM: What Can We Learn?
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    Chapter 11 Analyzing GPCR-Ligand Interactions with the Fragment Molecular Orbital (FMO) Method
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    Chapter 12 Characterizing Rhodopsin-Arrestin Interactions with the Fragment Molecular Orbital (FMO) Method
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    Chapter 13 Characterizing Protein-Protein Interactions with the Fragment Molecular Orbital Method
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    Chapter 14 Conformational Searching with Quantum Mechanics
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    Chapter 17 Molecular Docking Using Quantum Mechanical-Based Methods
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    Chapter 18 QM Calculations in ADMET Prediction
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    Chapter 20 What Next for Quantum Mechanics in Structure-Based Drug Discovery?
Attention for Chapter 10: Protein Molecular Dynamics Simulations with Approximate QM: What Can We Learn?
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Chapter title
Protein Molecular Dynamics Simulations with Approximate QM: What Can We Learn?
Chapter number 10
Book title
Quantum Mechanics in Drug Discovery
Published in
Methods in molecular biology, February 2020
DOI 10.1007/978-1-0716-0282-9_10
Pubmed ID
Book ISBNs
978-1-07-160281-2, 978-1-07-160282-9
Authors

Stephan Irle, Van Q. Vuong, Mouhmad H. Elayyan, Marat R. Talipov, Steven M. Abel, Irle, Stephan, Vuong, Van Q., Elayyan, Mouhmad H., Talipov, Marat R., Abel, Steven M.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Doctoral Student 1 13%
Professor 1 13%
Student > Bachelor 1 13%
Researcher 1 13%
Other 1 13%
Unknown 1 13%
Readers by discipline Count As %
Chemistry 4 50%
Biochemistry, Genetics and Molecular Biology 2 25%
Medicine and Dentistry 1 13%
Unknown 1 13%
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 27 January 2021.
All research outputs
#20,603,098
of 23,191,112 outputs
Outputs from Methods in molecular biology
#10,050
of 13,299 outputs
Outputs of similar age
#375,746
of 449,639 outputs
Outputs of similar age from Methods in molecular biology
#74
of 101 outputs
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So far Altmetric has tracked 13,299 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.