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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...
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...
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...

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Updated: May 24, 2026

Pharmacophore Modeling for Targets with Extensive Ligand Libraries: A Case Study on SARS-CoV-2 Mpro
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Pharmacophore Modeling for Targets with Extensive Ligand Libraries: A Case Study on SARS-CoV-2 Mpro

Published on: September 26, 2025

Protein pharmacophore selection using hydration-site analysis.

Bingjie Hu1, Markus A Lill

  • 1Department of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University , 575 Stadium Mall Drive, West Lafayette, Indiana 47906, United States.

Journal of Chemical Information and Modeling
|March 9, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for efficient virtual screening by reducing pharmacophore model size using hydration site information. This approach significantly speeds up drug discovery by focusing on key interactions.

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Last Updated: May 24, 2026

Pharmacophore Modeling for Targets with Extensive Ligand Libraries: A Case Study on SARS-CoV-2 Mpro
05:50

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Published on: September 26, 2025

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Area of Science:

  • Computational chemistry
  • Structural biology
  • Drug discovery

Background:

  • Virtual screening with pharmacophore models aids lead compound identification for target proteins.
  • Protein structure-based pharmacophore models bypass the need for known active ligands, avoiding chemical space bias.
  • Large pharmacophore models reduce screening efficiency due to the number of elements required to capture all potential interactions.

Purpose of the Study:

  • To develop a novel method for selecting essential pharmacophore elements using hydration site information.
  • To create reduced pharmacophore models that enhance screening efficiency while maintaining accuracy.
  • To improve the speed and effectiveness of identifying potential drug candidates.

Main Methods:

  • Utilized hydration site information to identify crucial pharmacophore elements.
  • Computed the free energy of water release from binding sites via molecular dynamics (MD) simulations.
  • Generated reduced pharmacophore models by selecting elements colocalized with favorable hydration sites.

Main Results:

  • Reduced pharmacophore models demonstrated good enrichment quality and high efficiency across three protein systems.
  • Screening time was reduced by 200-500 fold compared to models using all pharmacophore elements.
  • A training process was developed for reliable pharmacophore selection criteria optimization.

Conclusions:

  • The hydration-site-based method effectively reduces pharmacophore model size, significantly increasing screening efficiency.
  • This approach accelerates drug discovery by enabling faster identification of potential lead compounds.
  • The method offers a robust strategy for optimizing pharmacophore-based virtual screening.