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Calculating Standard Free Energy Changes02:49

Calculating Standard Free Energy Changes

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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...
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The free energy change for a process may be viewed as a measure of its driving force. A negative value for ΔG represents a driving force for the process in the forward direction, while a positive value represents a driving force for the process in the reverse direction. When ΔGrxn is zero, the forward and reverse driving forces are equal, and the process occurs in both directions at the same rate (the system is at equilibrium).
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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...
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A buffer can prevent a sudden drop or increase in the pH of a solution after the addition of a strong acid or base up to its buffering capacity; however, such addition of a strong acid or base does result in the slight pH change of the solution. The small pH change can be calculated by determining the resulting change in the concentration of buffer components, i.e., a weak acid and its conjugate base or vice versa. The concentrations obtained using these stoichiometric calculations can be used...
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Chemical reactions, such as those that occur when you light a match, involve changes in energy as well as matter.
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Relating Stomatal Conductance to Leaf Functional Traits
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Using AMBER18 for Relative Free Energy Calculations.

Lin Frank Song1, Tai-Sung Lee2, Chun Zhu1

  • 1Department of Chemistry and the Department of Biochemistry and Molecular Biology , Michigan State University , 578 S. Shaw Lane , East Lansing , Michigan 48824 , United States.

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Summary

This study validates free energy methods for drug design. Differences in sampling and force fields impact accuracy in predicting binding free energies.

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Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Free energy methods are crucial for structure-based drug design.
  • Validation across diverse targets and force fields is needed to assess prediction accuracy.
  • Previous studies utilized specific software and force fields, yielding certain accuracy metrics.

Purpose of the Study:

  • To compute relative binding free energies using GPU-accelerated thermodynamic integration (GPU-TI).
  • To compare results with a previous study using different computational protocols and force fields.
  • To analyze the impact of sampling methods and force fields on prediction accuracy.

Main Methods:

  • Employed GPU-TI with AMBER software and AMBER14SB/GAFF1.8 force field.
  • Calculated relative binding free energies for a dataset of 330 perturbations.
  • Did not utilize enhanced sampling techniques in the primary analysis.

Main Results:

  • Achieved an overall Mean Unsigned Error (MUE) of 1.17 kcal/mol and Root Mean Square Deviation (RMSD) of 1.50 kcal/mol.
  • Observed differences in results compared to a study using FEP+ and OPLS2.1 force field with REST2 enhanced sampling.
  • Attributed discrepancies to variations in sampling protocols and force fields.

Conclusions:

  • Sampling protocols and force field choices significantly influence the accuracy of free energy predictions.
  • Future research should focus on establishing benchmark results using robust statistical error analysis and enhanced sampling.
  • GPU-accelerated features in AMBER facilitate advanced sampling techniques for improved accuracy.