↓ Skip to main content

Biomolecular Simulations

Overview of attention for book
Cover of 'Biomolecular Simulations'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Ab Initio , Density Functional Theory, and Semi-Empirical Calculations
  3. Altmetric Badge
    Chapter 2 Ab Initio Molecular Dynamics
  4. Altmetric Badge
    Chapter 3 Introduction to QM/MM Simulations.
  5. Altmetric Badge
    Chapter 4 Computational Enzymology
  6. Altmetric Badge
    Chapter 5 QM and QM/MM Simulations of Proteins
  7. Altmetric Badge
    Chapter 6 Classical Molecular Dynamics in a Nutshell
  8. Altmetric Badge
    Chapter 7 Enhanced Sampling Algorithms
  9. Altmetric Badge
    Chapter 8 Force Fields for Classical Molecular Dynamics
  10. Altmetric Badge
    Chapter 9 Polarizable Force Fields
  11. Altmetric Badge
    Chapter 10 Electrostatics Interactions in Classical Simulations
  12. Altmetric Badge
    Chapter 11 An introduction to best practices in free energy calculations.
  13. Altmetric Badge
    Chapter 12 Recipes for Free Energy Calculations in Biomolecular Systems
  14. Altmetric Badge
    Chapter 13 Molecular Docking Methodologies
  15. Altmetric Badge
    Chapter 14 Simulation Studies of the Mechanism of Membrane Transporters
  16. Altmetric Badge
    Chapter 15 Molecular Dynamics Simulations of Lipid Bilayers: Simple Recipe of How to Do It
  17. Altmetric Badge
    Chapter 16 Simulations of Lipid Monolayers
  18. Altmetric Badge
    Chapter 17 Simulating DNA by Molecular Dynamics: Aims, Methods, and Validation
  19. Altmetric Badge
    Chapter 18 Simulation of Carbohydrates, from Molecular Docking to Dynamics in Water
  20. Altmetric Badge
    Chapter 19 Systematic Methods for Structurally Consistent Coarse-Grained Models
  21. Altmetric Badge
    Chapter 20 The Martini Coarse-Grained Force Field
  22. Altmetric Badge
    Chapter 21 Multiscale Molecular Modeling
  23. Altmetric Badge
    Chapter 22 Coarse-Grained Models for Protein Folding and Aggregation
  24. Altmetric Badge
    Chapter 23 Elastic Network Models: Theoretical and Empirical Foundations
  25. Altmetric Badge
    Chapter 24 An Introduction to Dissipative Particle Dynamics
  26. Altmetric Badge
    Chapter 25 Multiscale Molecular Dynamics Simulations of Membrane Proteins
  27. Altmetric Badge
    Chapter 26 Vesicles and Vesicle Fusion: Coarse-Grained Simulations
Attention for Chapter 3: Introduction to QM/MM Simulations.
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
181 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Introduction to QM/MM Simulations.
Chapter number 3
Book title
Biomolecular Simulations
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-017-5_3
Pubmed ID
Book ISBNs
978-1-62703-016-8, 978-1-62703-017-5
Authors

Gerrit Groenhof, Groenhof, Gerrit

Abstract

Hybrid quantum mechanics/molecular mechanics (QM/MM) simulations have become a popular tool for investigating chemical reactions in condensed phases. In QM/MM methods, the region of the system in which the chemical process takes place is treated at an appropriate level of quantum chemistry theory, while the remainder is described by a molecular mechanics force field. Within this approach, chemical reactivity can be studied in large systems, such as enzymes. In the first part of this contribution, the basic methodology is briefly reviewed. The two most common approaches for partitioning the two subsystems are presented, followed by a discussion on the different ways of treating interactions between the subsystems. Special attention is given on how to deal with situations in which the boundary between the QM and MM subsystems runs through one or more chemical bonds. The second part of this contribution discusses what properties of larger system can be obtained within the QM/MM framework and how. Finally, as an example of a QM/MM application in practice, the third part presents an overview of recent QM/MM molecular dynamics simulations on photobiological systems. In addition to providing quantities that are experimentally accessible, such as structural intermediates, fluorescence lifetimes, quantum yields and spectra, the QM/MM simulations also provide information that is much more difficult to measure experimentally, such as reaction mechanisms and the influence of individual amino acid residues.

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 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Slovakia 1 <1%
Brazil 1 <1%
Unknown 177 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 25%
Student > Bachelor 21 12%
Researcher 20 11%
Student > Master 19 10%
Student > Doctoral Student 11 6%
Other 15 8%
Unknown 50 28%
Readers by discipline Count As %
Chemistry 60 33%
Biochemistry, Genetics and Molecular Biology 20 11%
Agricultural and Biological Sciences 10 6%
Engineering 8 4%
Physics and Astronomy 8 4%
Other 22 12%
Unknown 53 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 November 2023.
All research outputs
#8,042,183
of 24,859,977 outputs
Outputs from Methods in molecular biology
#2,427
of 13,964 outputs
Outputs of similar age
#84,917
of 292,435 outputs
Outputs of similar age from Methods in molecular biology
#92
of 333 outputs
Altmetric has tracked 24,859,977 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 13,964 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 292,435 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 333 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.