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Calculating Standard Free Energy Changes

Calculating Standard Free Energy Changes

The free energy change for a reaction that occurs under the standard conditions of 1 bar pressure and at 298 K is called the standard free energy change. Since free energy is a state function, its value depends only on the conditions of the initial and final states of the system. A convenient and common approach to the calculation of free energy changes for physical and chemical reactions is by use of widely available compilations of standard state thermodynamic data. One method involves the...

Sample Size Calculation

Sample Size Calculation

Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...

Gibbs Free Energy

Gibbs Free Energy

One of the challenges of using the second law of thermodynamics to determine if a process is spontaneous is that it requires measurements of the entropy change for the system and the entropy change for the surroundings. An alternative approach involving a new thermodynamic property defined in terms of system properties only was introduced in the late nineteenth century by American mathematician Josiah Willard Gibbs. This new property is called the Gibbs free energy (G) (or simply the free...

What is Energy?

What is Energy?

The universe is composed of matter in different forms, and all forms of matter contain energy. The different forms of energy on Earth originate from the Sun — the ultimate energy source. Plants capture light energy from the Sun, and, via the process of photosynthesis, convert it into chemical energy. This stored energy from plants can be harnessed in many ways. For example, eating plant products as food provides energy for our body to function, and burning wood or coal (fossilized...

Free Energy Changes for Nonstandard States

Free Energy Changes for Nonstandard States

The free energy change for a process taking place with reactants and products present under nonstandard conditions (pressures other than 1 bar; concentrations other than 1 M) is related to the standard free energy change according to this equation:

Calculating the Equilibrium Constant

Calculating the Equilibrium Constant

The equilibrium constant for a reaction is calculated from the equilibrium concentrations (or pressures) of its reactants and products. If these concentrations are known, the calculation simply involves their substitution into the Kc expression.
For example, gaseous nitrogen dioxide forms dinitrogen tetroxide according to this equation:

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Related Experiment Video

Updated: Feb 8, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

Enhanced Sampling and Free Energy Calculations in Protein Simulations.

Carmen Domene¹, Simone Furini²

¹Department of Chemistry, University of Bath, Bath, UK. mcdn20@bath.ac.u.

Advances in Experimental Medicine and Biology

|February 6, 2026

Summary

This summary is machine-generated.

Free energy calculations are crucial for understanding protein behavior. Enhanced sampling techniques and machine learning improve accuracy and efficiency in predicting molecular interactions.

Keywords:

Energy landscapes Enhanced sampling Free energy Machine learning Protein dynamics

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Area of Science:

Computational chemistry and biophysics.
Molecular modeling and simulation.

Background:

Free energy calculations are essential for understanding protein dynamics, stability, and interactions.
Traditional molecular dynamics (MD) simulations struggle with complex protein energy landscapes and rare events.

Purpose of the Study:

To review the role of enhanced sampling techniques and machine learning in improving free energy calculations.
To highlight advancements in computational methods for molecular behavior prediction.

Main Methods:

Discusses enhanced sampling techniques like metadynamics, umbrella sampling, and replica exchange molecular dynamics.
Explores the integration of machine learning with traditional simulation methods.

Main Results:

Enhanced sampling methods improve the exploration of protein conformational space and prediction accuracy.
Machine learning significantly boosts sampling efficiency, reducing computational costs.

Conclusions:

Advancements in computational power and integrated algorithms promise more precise predictions of molecular interactions.
Future developments will expand the scope and accuracy of free energy calculations for biological processes.