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Related Concept Videos

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...

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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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A novel and efficient ligand-based virtual screening approach using the HWZ scoring function and an enhanced

Adel Hamza1, Ning-Ning Wei, Ce Hao

  • 1a Department of Pharmaceutical Sciences , College of Pharmacy, University of Kentucky , 789 South Limestone Street, Lexington , KY , 40536 , USA .

Journal of Biomolecular Structure & Dynamics
|November 13, 2012
PubMed
Summary

This study introduces an improved ligand shape-based virtual screening method using a new scoring function and molecular model. The enhanced approach shows superior prediction accuracy and effectiveness in identifying drug candidates.

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Area of Science:

  • Computational chemistry
  • Drug discovery
  • Bioinformatics

Background:

  • Virtual screening is crucial for identifying potential drug candidates.
  • Ligand shape-based methods are effective but can be improved.
  • Previous methods require enhancement for better accuracy.

Purpose of the Study:

  • To develop and evaluate an enhanced ligand shape-based virtual screening approach.
  • To improve prediction accuracy and hit rates in drug discovery.
  • To compare the novel method with existing virtual screening techniques.

Main Methods:

  • Utilized the Hamza-Wei-Zhan (HWZ) scoring function.
  • Employed an enhanced molecular shape-density model for ligands.
  • Tested performance against 40 targets in the Database of Useful Decoys.

Main Results:

  • Achieved a high area under the receiver operator characteristics curve (AUC) of 0.89 ± 0.02.
  • Demonstrated excellent hit rates: HR(1%) = 53.0% ± 6.3% and HR(10%) = 71.1% ± 4.9%.
  • Outperformed other ligand shape-based methods, including those using data fusion.

Conclusions:

  • The novel ligand shape-based screening method is robust and efficient for 3D similarity screening.
  • The approach offers superior prediction accuracy compared to existing methods.
  • This method advances drug design through structure-based virtual screening.