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

37.9K
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.
37.9K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

40
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
40
Entropy and Solvation02:05

Entropy and Solvation

7.0K
The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
7.0K
Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
4.2K
Ideal Solutions02:24

Ideal Solutions

19.2K
According to Raoult’s law, the partial vapor pressure of a solvent in a solution is equal or identical to the vapor pressure of the pure solvent multiplied by its mole fraction in the solution. However, Raoult's Law is only valid for ideal solutions. For a solution to be ideal, the solvent-solute interaction must be just as strong as a solvent-solvent or solute-solute interaction. This suggests that both the solute and the solvent would use the same amount of energy to escape to the...
19.2K
Intermolecular Forces and Physical Properties02:56

Intermolecular Forces and Physical Properties

20.4K
20.4K

You might also read

Related Articles

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

Sort by
Same author

Driving Force of Colloidal Nanoparticle Self-Assembly.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Coherent Cancellation in Oscillatory Structural Forces Enables Surface Recognition in Colloidal Assembly.

Journal of the American Chemical Society·2026
Same author

Single-Parameter Scaling Strategy for Force Field Optimization: A Case Study on Alkane Melting-Point Prediction.

The journal of physical chemistry. B·2025
Same author

A Particle-Based Implicit Solvent Model for Short-Range Oscillatory Solvation Forces.

Journal of chemical theory and computation·2025
Same author

A Surface Bonding Model for Predicting Hydrogen Bond-Mediated Nanoparticle Interactions.

The journal of physical chemistry letters·2025
Same author

Tunable synthesis of atomic one-dimensional V<sub>x</sub>Te<sub>y</sub> magnets within single-walled carbon nanotubes.

Nature communications·2025

Related Experiment Video

Updated: Jun 5, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

1.7K

Constructing Predictive Implicit Solvent Models: Insights from Exploring Potential Parameter Space and Property

Dan Zhang1,2, Meng Deng2,3, Chuncheng Li2

  • 1College of Sciences, Shanghai University, Shanghai 200444, P. R. China.

The Journal of Physical Chemistry. B
|December 6, 2024
PubMed
Summary
This summary is machine-generated.

Implicit solvent (IS) models need parameter tuning for accurate simulations. This study reveals how adjusting IS model parameters improves predictions of liquid structures and nanoparticle assembly dynamics.

More Related Videos

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

2.1K
Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
09:42

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

9.0K

Related Experiment Videos

Last Updated: Jun 5, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

1.7K
Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

2.1K
Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
09:42

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

Published on: January 16, 2016

9.0K

Area of Science:

  • Computational Chemistry
  • Materials Science
  • Biophysics

Background:

  • Implicit solvent (IS) models offer computational efficiency for liquid system simulations.
  • However, IS models derived from explicit solvent (ES) calculations often struggle with solute structure and assembly dynamics.
  • Accurate simulation of molecular interactions in solution remains a challenge.

Purpose of the Study:

  • To investigate the relationship between IS model parameter space and predictive accuracy for solute structure and assembly.
  • To identify key parameters influencing the simulation of NaCl solutions and protein-bound silica nanoparticles.
  • To provide insights for developing improved IS models.

Main Methods:

  • Examined IS models using potential of mean force calculations.
  • Focused on NaCl solutions and protein-bound silica colloidal nanoparticles.
  • Analyzed the impact of parameter variations (dielectric constant, short-range potentials, interaction site size, model resolution).

Main Results:

  • IS models using concentration-dependent dielectric constants showed limited efficacy for NaCl solutions.
  • Model effectiveness varied with the ES model used for high-concentration liquid structures.
  • Adjusting dielectric constants and short-range potentials improved liquid structure predictions.
  • Interaction site size and model resolution critically affected nanoparticle assembly dynamics and aggregate structures.

Conclusions:

  • The parameter space of IS models significantly impacts predictions of liquid structure and assembly kinetics.
  • Specific parameters like dielectric constant, potential shape, site size, and resolution are crucial for accuracy.
  • This work offers essential guidance for enhancing the predictive power of IS models in complex systems.