Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Molecular Shapes01:18

Molecular Shapes

58.1K
Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.
Two regions of electron density in a diatomic...
58.1K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

35.7K
VSEPR Theory for Determination of Electron Pair Geometries
35.7K
Newman Projections02:06

Newman Projections

17.5K
Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively.
The organic molecules rotate across the single bonds leading to numerous temporary three-dimensional structures of varying energy known as...
17.5K
Molecular Models02:00

Molecular Models

40.2K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
40.2K
Adaptability of Cytoskeletal Filaments01:12

Adaptability of Cytoskeletal Filaments

3.8K
The cytoskeleton is a complex dynamic structure performing varied functions based on cellular requirements. The adaptability of the individual filaments in the cytoskeleton determines their ability to perform various functions within the cell. It can undergo rapid reorganization during processes like cell division or remain stable for several hours as in the interphase. The adaptability of these filaments depends on stringent regulatory mechanisms. The microfilament and microtubules of the...
3.8K
VSEPR Theory and the Basic Shapes02:52

VSEPR Theory and the Basic Shapes

70.2K
Overview of VSEPR Theory
70.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Role of Metal Complexation in the Unfolding Energetics of a Nudix Hydrolase.

Biochemistry·2026
Same author

Polymer-networked engineered nanoparticles are primitives for neuromorphic computing.

The Journal of chemical physics·2026
Same author

Thermal Switching in a Ferrocenyl Nanojunction Is Observed in All-Atom Simulations.

The journal of physical chemistry letters·2025
Same author

Emergence of Polymer-Networked Nanoparticle Structures as Primitive Neuromorphic Computing States.

The journal of physical chemistry. A·2025
Same author

A multidomain hydrolase from the thermophile Thermanaeromonas toyohensis degrades high molecular mass forms of polyhydroxybutyrate.

Protein science : a publication of the Protein Society·2025
Same author

Cytochrome c Facilitates Binding between Lipid Bilayers and Citrate-Coated Gold Nanoparticles in Coarse-Grained Simulations.

Journal of chemical theory and computation·2025

Related Experiment Video

Updated: Sep 4, 2025

Author Spotlight: Streamlining Visual Dynamics to Simplify Molecular Dynamics Simulations Using Gromacs
05:00

Author Spotlight: Streamlining Visual Dynamics to Simplify Molecular Dynamics Simulations Using Gromacs

Published on: August 9, 2024

1.4K

Implementation of Telescoping Boxes in Adaptive Steered Molecular Dynamics.

Yi Zhuang1, Nikhil Thota2, Stephen Quirk3

  • 1Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, United States.

Journal of Chemical Theory and Computation
|July 13, 2022
PubMed
Summary

This study introduces telescoping box schemes for adaptive steered molecular dynamics (ASMD). This method significantly reduces computational cost for simulating complex molecular processes by optimizing solvent box sizes.

More Related Videos

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

10.6K
Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

509

Related Experiment Videos

Last Updated: Sep 4, 2025

Author Spotlight: Streamlining Visual Dynamics to Simplify Molecular Dynamics Simulations Using Gromacs
05:00

Author Spotlight: Streamlining Visual Dynamics to Simplify Molecular Dynamics Simulations Using Gromacs

Published on: August 9, 2024

1.4K
Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

10.6K
Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

509

Area of Science:

  • Computational chemistry
  • Molecular dynamics simulations
  • Biophysics

Background:

  • Steered molecular dynamics (SMD) accelerates simulations of long-time processes like protein unfolding.
  • Extracting generalizable information from nonequilibrium SMD simulations remains challenging.
  • Jarzynski's equality enables free energy calculation but requires slow-converging nonequilibrium trajectory sampling.

Purpose of the Study:

  • To reduce the computational cost associated with large solvent boxes in adaptive steered molecular dynamics (ASMD).
  • To optimize solvent molecule usage across different simulation stages.
  • To maintain accuracy while improving efficiency in molecular dynamics simulations.

Main Methods:

  • Introduction of telescoping box schemes within adaptive steered molecular dynamics (ASMD).
  • Adjustment of solvent box sizes between simulation stages to vary solvent molecule numbers.
  • Benchmarking on an α-helical peptide (Ala30) to assess potential of mean force and hydrogen bonds.

Main Results:

  • Telescoping box schemes in ASMD significantly reduce computational cost.
  • The method introduces minimal numerical error compared to standard simulations.
  • Optimized solvent box sizes lead to substantial savings in computational resources.

Conclusions:

  • Telescoping box schemes offer an efficient approach for ASMD simulations.
  • This technique effectively addresses the high computational cost of large solvent boxes.
  • The method provides a viable strategy for accurate and cost-effective molecular dynamics studies.