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Drug Discovery: Overview01:26

Drug Discovery: Overview

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Structure-Activity Relationships and Drug Design01:28

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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.
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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...
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Related Experiment Video

Updated: Feb 24, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

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Docking and Virtual Screening in Drug Discovery.

Maria Kontoyianni1

  • 1Department of Pharmaceutical Sciences, School of Pharmacy, Southern Illinois University Edwardsville, 220 University Park Drive, Edwardsville, IL, 62025, USA. mkontoy@siue.edu.

Methods in Molecular Biology (Clifton, N.J.)
|August 16, 2017
PubMed
Summary
This summary is machine-generated.

Structure-based virtual screening (VS) uses computational docking to identify potential drug compounds. This method aids in selecting active molecules, complementing high-throughput screening (HTS) in drug discovery.

Keywords:
DockingDrug discoveryGOLDGlideHigh-throughput screeningScoringStructure-based drug designVirtual screening

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Area of Science:

  • Computational chemistry
  • Drug discovery and development

Background:

  • Drug discovery involves target selection, hit identification, lead optimization, and preclinical/clinical studies.
  • Computational modeling, particularly docking, is integral to hit identification and lead optimization.
  • Structure-based virtual screening (VS) is a long-established computational technique in drug discovery.

Purpose of the Study:

  • To discuss best practices for structure-based virtual screening (VS) in drug discovery.
  • To outline the straightforward protocol of VS, including library selection and target preparation.
  • To highlight the role of VS in differentiating active from inactive compounds.

Main Methods:

  • Docking of small compound libraries into protein binding pockets.
  • Ranking and selection of top-scoring compounds for further testing.
  • Application of VS as a complementary tool to high-throughput screening (HTS).

Main Results:

  • VS differentiates between active and inactive compounds, reducing the number of molecules for testing.
  • The protocol involves library selection, target preparation, and choosing appropriate docking/scoring schemes.
  • A step-wise approach for performing VS, specifically using Glide, is discussed.

Conclusions:

  • Virtual screening is a key computational strategy in modern drug discovery.
  • Optimized VS protocols enhance efficiency by prioritizing promising compounds.
  • VS effectively reduces the scope of experimental screening, saving time and resources.