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Related Concept Videos

Drug Discovery: Overview01:26

Drug Discovery: Overview

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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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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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.
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Drug-receptor bonds are formed through various chemical forces when drugs interact with target cells. Covalent bonds, strong and irreversible, are exemplified by DNA-alkylating anticancer agents that inhibit cell division. However, such irreversible drug binding lacks selectivity and can modify the DNA of the surrounding healthy cells. Covalent binding often contributes to tissue toxicity, as seen with chloroform and paracetamol metabolites binding to the liver, causing hepatotoxicity.
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Protein-Drug Binding: Mechanism and Kinetics01:16

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Updated: Jun 2, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

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

Published on: June 20, 2025

Molecular docking: a powerful approach for structure-based drug discovery.

Xuan-Yu Meng1, Hong-Xing Zhang, Mihaly Mezei

  • 1State Key Laboratory of Theoretical and Computational Chemistry, Institute of Theoretical Chemistry, Jilin University, Changchun, China.

Current Computer-Aided Drug Design
|May 4, 2011
PubMed
Summary

Molecular docking is a key drug discovery tool. This review covers docking methods, theories, software, and challenges like flexible receptors, introducing a new Monte Carlo approach.

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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

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

Published on: June 20, 2025

Protein Target Prediction and Validation of Small Molecule Compound
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Protein Target Prediction and Validation of Small Molecule Compound

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Area of Science:

  • Computational chemistry
  • Drug discovery
  • Bioinformatics

Background:

  • Molecular docking is integral to modern drug discovery.
  • Understanding docking methodologies, algorithms, and scoring functions is crucial.
  • Existing methods face challenges with flexible receptor modeling.

Purpose of the Study:

  • To review molecular docking methods, their evolution, and applications in drug discovery.
  • To summarize fundamental theories including sampling algorithms and scoring functions.
  • To discuss the performance variations among different docking software.

Main Methods:

  • Review of existing literature on molecular docking techniques.
  • Summary of theoretical underpinnings: sampling algorithms and scoring functions.
  • Introduction of a Local Move Monte Carlo (LMMC) based approach for flexible receptor docking.

Main Results:

  • An overview of current molecular docking software and their comparative performance.
  • Identification of flexible receptor docking as a significant challenge.
  • Presentation of LMMC as a promising solution for flexible receptor docking problems.

Conclusions:

  • Molecular docking is a vital technique in drug discovery pipelines.
  • Addressing receptor flexibility is key to advancing docking accuracy.
  • The LMMC approach shows potential for improving flexible receptor docking outcomes.