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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:
Protein-protein Interfaces02:04

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...
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...
Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
Indirect methods involve isolating the bound drug from its free form in biological samples such as blood, serum, or plasma. These techniques aim to measure the percentage of drugs bound to proteins. Equilibrium dialysis is a commonly used method where the free drug concentration at equilibrium is measured by separating the bound...
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 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

Updated: Jun 26, 2026

Protein Target Prediction and Validation of Small Molecule Compound
10:21

Protein Target Prediction and Validation of Small Molecule Compound

Published on: February 23, 2024

Computational evaluation of protein-small molecule binding.

Olgun Guvench1, Alexander D MacKerell

  • 1Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, 20 Penn Street, Baltimore, MD 21201, United States.

Current Opinion in Structural Biology
|January 24, 2009
PubMed
Summary
This summary is machine-generated.

Computational methods for determining protein-small molecule binding affinity aid drug discovery. This review covers accurate but slow (Class 1) and fast but approximate (Class 2) approaches, exploring ways to improve Class 2 accuracy.

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Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Protein-small molecule binding affinity is crucial for rational drug discovery.
  • Experimental assays are costly and time-consuming.
  • Structure-based computational methods offer alternatives.

Purpose of the Study:

  • To review existing computational methods for determining protein-small molecule binding affinities.
  • To compare the strengths and weaknesses of different computational approaches.
  • To explore research directions for improving approximate methods.

Main Methods:

  • Classification of computational methods into Class 1 (accurate but slow) and Class 2 (fast but approximate).
  • Discussion of Class 1 methods' ability to model protein flexibility and solvation for accurate binding free energy calculations.
  • Analysis of Class 2 methods' speed limitations and approximations in modeling flexibility and solvation.

Main Results:

  • Class 1 methods provide quantitative binding free energies but are computationally expensive for large-scale screening.
  • Class 2 methods are suitable for high-throughput screening but lack accuracy due to simplified physical models.
  • A gap exists between the accuracy of Class 1 and the speed of Class 2 methods.

Conclusions:

  • Bridging the accuracy gap in Class 2 methods is essential for efficient drug discovery.
  • Further research is needed to enhance the physical realism of fast computational binding affinity prediction methods.
  • Improving Class 2 methods could enable accurate and rapid screening of vast chemical libraries.