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The Equilibrium Binding Constant and Binding Strength02:18

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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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Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
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Binding Free Energy Calculation Using Quantum Mechanics Aimed for Drug Lead Optimization.

Claudio N Cavasotto1,2,3,4

  • 1Computational Drug Design and Biomedical Informatics Laboratory, Translational Medicine Research Institute (IIMT), CONICET-Universidad Austral, Derqui-Pilar, Buenos Aires, Argentina. CCavasotto@austral.edu.ar.

Methods in Molecular Biology (Clifton, N.J.)
|February 5, 2020
PubMed
Summary

Quantum mechanical methods offer enhanced accuracy for calculating protein-ligand binding free energy, guiding drug lead optimization. These advanced in silico tools improve accuracy and transferability in drug design.

Keywords:
Binding free energy calculationComputer-aided drug discoveryLead optimizationQuantum mechanicsStructure-based drug design

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Area of Science:

  • Computational chemistry
  • Biophysics
  • Drug discovery

Background:

  • In silico tools are standard in drug lead design, with molecular docking screening chemical libraries.
  • More accurate binding free energy calculations can guide lead optimization, saving resources.

Purpose of the Study:

  • To review the growing importance of quantum mechanical (QM) methods for binding free energy calculations.
  • To illustrate QM applications in structure-based drug lead optimization.

Main Methods:

  • Utilizing theoretical advancements and increased computing power for QM calculations on biomacromolecules.
  • Applying QM methods to accurately describe protein-ligand interactions and binding affinities.

Main Results:

  • QM methods provide a more accurate description of protein-ligand interactions compared to traditional methods.
  • QM formulation includes contributions often neglected in molecular mechanics, such as electronic polarization and covalent binding.

Conclusions:

  • Quantum mechanical methods are increasingly relevant for accurate binding free energy calculations in drug lead optimization.
  • QM approaches offer systematic improvement, transferability, and avoid system-dependent parameterization.