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Related Concept Videos

Drug Nomenclature01:17

Drug Nomenclature

During the development of a new pharmaceutical, the manufacturer initially assigns a code name to the drug. Once approved, the drug receives a United States Adopted Name (USAN)—a generic, nonproprietary designation. Upon being listed in the United States Pharmacopeia, this nonproprietary name becomes the drug's official name. Additionally, the manufacturer assigns a proprietary name or trademark, which serves as the brand name under which the drug is marketed. It is worth noting that the same...
Drug Classes and Categories01:25

Drug Classes and Categories

Drugs can be classified according to their chemical composition or their intended therapeutic application. For instance, anti-infective agents that possess the ability to eliminate pathogens or suppress their growth and reproduction can be grouped based on the organisms they target or their chemical structure. Furthermore, drugs can be divided into prescription, nonprescription, or controlled substances. Prescription medications, such as antibiotics, require oversight from a licensed healthcare...
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...
Therapeutic Drug Monitoring: Overview and Classification01:16

Therapeutic Drug Monitoring: Overview and Classification

Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood at designated intervals to ensure the drug concentration stays within a therapeutic range. This monitoring is crucial for optimizing individual dosage regimens, enhancing therapeutic efficacy, and minimizing drug-related toxicity. TDM is vital for drugs with narrow therapeutic windows, significant variability in pharmacokinetics, and a clear correlation between plasma levels and...
Clinically Relevant Drug Product Specifications: Methods of Establishment01:29

Clinically Relevant Drug Product Specifications: Methods of Establishment

Product specifications define the acceptable quality of a pharmaceutical product by ensuring identity, purity, potency, and strength. These specifications serve as benchmarks during development, manufacturing, and post-approval quality control. Clinically relevant specifications are particularly important because they directly relate to a drug's safety and efficacy in clinical use.Dissolution studies are critical biopharmaceutic tools that link in vitro behavior to in vivo performance. They...
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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Related Experiment Video

Updated: May 9, 2026

Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma
13:18

Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma

Published on: March 3, 2023

Standardized drug and pharmacological class network construction.

Qian Zhu1, Guoqian Jiang, Liwei Wang

  • 1Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.

Studies in Health Technology and Informatics
|August 8, 2013
PubMed
Summary

This study presents a new standardized drug and drug class network, integrating multiple terminologies like Anatomical Therapeutic Chemical (ATC) and National Drug File Reference Terminology (NDF-RT). This network improves drug data integration for clinical and translational research.

Related Experiment Videos

Last Updated: May 9, 2026

Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma
13:18

Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma

Published on: March 3, 2023

Area of Science:

  • Biomedical Informatics
  • Pharmacology
  • Computational Chemistry

Background:

  • Multiple drug terminologies exist, but lack standardized integration methods.
  • This fragmentation hinders effective data integration and representation in drug-related research.
  • Existing resources vary in coverage and adequacy for comprehensive drug information.

Purpose of the Study:

  • To develop a standardized network integrating diverse drug terminological resources.
  • To establish a robust framework for drug and drug class data linkage.
  • To facilitate improved data representation for clinical and translational studies.

Main Methods:

  • Utilized Anatomical Therapeutic Chemical (ATC) and National Drug File Reference Terminology (NDF-RT) as the network backbone.
  • Expanded the network by integrating RxNorm and Structured Product Label (SPL) data.
  • Constructed a network comprising 39,728 drugs and drug classes.

Main Results:

  • Calculated and compared structural similarity for drug/drug class pairs between ATC and NDF-RT.
  • Analyzed the constructed drug class network from a chemical structure perspective.
  • Demonstrated the feasibility of integrating disparate drug terminologies into a unified network.

Conclusions:

  • The developed standardized drug and drug class network offers a novel approach to data integration.
  • This network provides a foundation for more comprehensive drug information analysis.
  • Further analysis of chemical structures within the network can yield deeper insights into drug relationships.