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Related Concept Videos

The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
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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.
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Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...

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A Mixed QM/MM Scoring Function to Predict Protein-Ligand Binding Affinity.

Seth A Hayik1, Roland Dunbrack, Kenneth M Merz

  • 1Institute for Cancer Research, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111, USA.

Journal of Chemical Theory and Computation
|January 12, 2011
PubMed
Summary
This summary is machine-generated.

Mixed quantum mechanics/molecular mechanics (QM/MM) methods improve protein-ligand binding free energy predictions for drug discovery. QM/MM models offer advantages for metalloproteins, enhancing accuracy in binding affinity calculations.

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Area of Science:

  • Computational chemistry
  • Biophysics
  • Drug discovery

Background:

  • Predicting protein-ligand binding free energy is crucial for drug discovery but challenging due to electronic and entropic term estimations.
  • Conventional force field scoring functions often require approximations for these terms.
  • Mixed quantum mechanics/molecular mechanics (QM/MM) methods offer a way to calculate electronic effects accurately for specific regions.

Purpose of the Study:

  • To implement and test a semi-empirical QM/MM scoring function in AMBER using DivCon for metalloprotein-ligand complexes.
  • To evaluate the performance of QM/MM methods in predicting binding affinities, particularly for metal ions.
  • To explore alternative methods for calculating binding free energy terms, including entropy estimates and minimization standards.

Main Methods:

  • A semi-empirical QM/MM scoring function was implemented in the AMBER software package utilizing the DivCon program.
  • The method was tested on a dataset of 23 metalloprotein-ligand complexes.
  • Various approaches for calculating binding free energy components, such as ligand entropy and protein energy minimization, were investigated.

Main Results:

  • The QM/MM scoring function achieved an R(2) of 0.64 (SD 1.88 kcal/mol) without fitting and R(2) of 0.71 (SD 1.69 kcal/mol) with fitted weights.
  • Using a rotational bond estimate for ligand entropy yielded an R(2) of 0.63 without fitting.
  • Employing the ESCF energy without minimization resulted in an R(2) of 0.57 with the rotatable bond entropy estimate.

Conclusions:

  • QM/MM methods, particularly for metalloprotein-ligand interactions, show promise for improving binding affinity predictions in computational drug discovery.
  • The choice of methods for estimating entropy and energy terms significantly impacts prediction accuracy.
  • Further refinement of QM/MM scoring functions and entropy calculations is warranted to enhance cost-effectiveness in drug design.