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 Models02:00

Molecular Models

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.
Ionic Crystal Structures02:42

Ionic Crystal Structures

Ionic crystals consist of two or more different kinds of ions that usually have different sizes. The packing of these ions into a crystal structure is more complex than the packing of metal atoms that are the same size.
Most monatomic ions behave as charged spheres, and their attraction for ions of opposite charge is the same in every direction. Consequently, stable structures for ionic compounds result (1) when ions of one charge are surrounded by as many ions as possible of the opposite...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Molecular Geometry and Dipole Moments02:36

Molecular Geometry and Dipole Moments

The VSEPR theory can be used to determine the electron pair geometries and molecular structures as follows:

You might also read

Related Articles

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

Sort by
Same author

<i>In Vivo</i> Imaging of Methionine Aminopeptidase II for Prostate Cancer Risk Stratification.

Cancer research·2021
Same author

Mechanistic insights into AMPK-SIRT3 positive feedback loop-mediated chondrocyte mitochondrial quality control in osteoarthritis pathogenesis.

Pharmacological research·2021
Same author

Cloning and Expression of Four Aquaporin Homologs from the Chinese Black Sleeper (Bostrychus sinensis): The Effects of Salinity Acclimation.

Biochemical genetics·2021
Same author

YTHDF1 Regulates Pulmonary Hypertension through Translational Control of MAGED1.

American journal of respiratory and critical care medicine·2021
Same author

[Progress of change in bone mineral density after knee arthroplasty].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery·2021
Same author

Amphiphilic PEGylated Lanthanide-Doped Upconversion Nanoparticles for Significantly Passive Accumulation in the Peritoneal Metastatic Carcinomatosis Models Following Intraperitoneal Administration.

ACS biomaterials science & engineering·2021

Related Experiment Video

Updated: Jul 7, 2026

Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon
07:52

Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon

Published on: December 1, 2023

GridMol: a grid application for molecular modeling and visualization.

Yanhua Sun1, Bin Shen, Zhonghua Lu

  • 1Super Computing Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing 100080, China. syh@sccas.cn

Journal of Computer-Aided Molecular Design
|January 31, 2008
PubMed
Summary
This summary is machine-generated.

GridMol is an extensible computational chemistry platform for grid environments, offering molecular modeling, scientific computing, and visualization. It simplifies remote Grid software control and integrates with China National Grid for high-performance computing.

More Related Videos

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
10:29

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

Published on: May 9, 2025

Modeling an Enzyme Active Site using Molecular Visualization Freeware
14:37

Modeling an Enzyme Active Site using Molecular Visualization Freeware

Published on: December 25, 2021

Related Experiment Videos

Last Updated: Jul 7, 2026

Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon
07:52

Cryo-Electron Microscopy Screening Automation Across Multiple Grids Using Smart Leginon

Published on: December 1, 2023

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
10:29

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

Published on: May 9, 2025

Modeling an Enzyme Active Site using Molecular Visualization Freeware
14:37

Modeling an Enzyme Active Site using Molecular Visualization Freeware

Published on: December 25, 2021

Area of Science:

  • Computational Chemistry
  • Grid Computing
  • Scientific Visualization

Background:

  • High-performance computing is crucial for complex molecular modeling and scientific simulations.
  • Existing tools often lack seamless integration with grid environments and remote resource management.
  • Computational chemists require integrated platforms for modeling, computing, and data visualization.

Purpose of the Study:

  • To introduce GridMol, an extensible tool for building high-performance computational chemistry platforms in grid environments.
  • To provide a one-stop service for molecular modeling, scientific computing, and molecular information visualization.
  • To simplify the control of remote Grid software and access high-performance computing resources.

Main Methods:

  • Development of GridMol using Java and Java3D for cross-platform compatibility.
  • Integration of GridMol with the China National Grid infrastructure.
  • Implementation of techniques for molecular visualization, molecular modeling, and grid computing management.

Main Results:

  • GridMol successfully integrated into the China National Grid, demonstrating its capability.
  • A computing example showcased the availability and efficiency of GridMol in a grid environment.
  • The tool supports both stand-alone application and web browser applet modes.

Conclusions:

  • GridMol offers a powerful and flexible solution for computational chemistry in grid environments.
  • The platform enhances accessibility to high-performance computing resources for molecular modeling and scientific research.
  • GridMol is freely available under the GNU Public License, promoting wider adoption.