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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:
Ligand Binding Sites02:40

Ligand Binding Sites

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.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Ligand Binding Sites02:40

Ligand Binding Sites

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.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Conserved Binding Sites01:49

Conserved Binding Sites

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 analyses the...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence the...

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Related Experiment Video

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Determination of Protein-ligand Interactions Using Differential Scanning Fluorimetry
13:26

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Published on: September 13, 2014

Evaluation of ligand-binding affinity using polynomial empirical scoring functions.

Walter Filgueira de Azevedo1, Raquel Dias

  • 1Faculdade de Biociências, Pontifícia Universidade Católica do Rio Grande do Sul, Av. Ipiranga, 6681, Bairro Partenon, Porto Alegre CEP 90619-900, Brazil. walter@azevedolab.net

Bioorganic & Medicinal Chemistry
|October 3, 2008
PubMed
Summary

This study introduces new empirical scoring functions to predict protein-ligand binding affinity, crucial for drug discovery. These functions outperform existing methods like XSCORE in assessing molecular interactions.

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Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Accurate assessment of protein-ligand interactions is vital for identifying potential drug candidates.
  • Virtual screening relies on computational methods to predict binding affinity.
  • Existing scoring functions have limitations in predicting binding efficacy.

Purpose of the Study:

  • To develop and evaluate novel empirical scoring functions for protein-ligand affinity prediction.
  • To improve the accuracy of virtual screening in drug discovery pipelines.
  • To compare the performance of the new functions against established methods like XSCORE.

Main Methods:

  • Development of empirical scoring functions incorporating terms for intermolecular hydrogen bonds and contact surface.
  • Application of the scoring functions to assess protein-ligand binding affinity.
  • Comparative analysis against the XSCORE empirical scoring function.

Main Results:

  • The developed empirical scoring functions demonstrate improved accuracy in predicting protein-ligand affinity.
  • The new methodology shows superior performance compared to the XSCORE function.
  • Key interaction terms (hydrogen bonds, contact surface) contribute significantly to predictive power.

Conclusions:

  • The novel empirical scoring functions offer a more accurate approach to assessing protein-ligand binding affinity.
  • This methodology enhances the reliability of virtual screening for drug discovery.
  • The findings suggest potential for broader application in computational drug design.