Current situation and future usage of anticancer drug databases

Hongzhi Wang1, Yuanyuan Yin2, Peiqi Wang2

  • 1College of Mathematics, Tonghua Normal University, Tonghua, 134002, China. whz-98@126.com.

Insights

This study reviews anticancer drug databases, highlighting their role in advancing targeted cancer therapies. These resources aid in discovering novel drugs and improving patient outcomes by integrating crucial data.

Area of Science:

  • Oncology
  • Bioinformatics
  • Drug Discovery

Background:

  • Cancer poses a significant global health challenge with rising incidence and mortality.
  • Targeted cancer therapy has rapidly advanced in the last 15 years, identifying numerous drugs, targets, and mutations.
  • Databases are crucial for organizing and accessing information on anticancer drugs and their mechanisms.

Purpose of the Study:

  • To provide a comprehensive overview of existing anticancer drug databases.
  • To analyze the strengths and weaknesses of these databases.
  • To discuss the future utility of these databases in facilitating new drug discovery.

Main Methods:

  • Systematic review of literature on anticancer drug databases.
  • Analysis of database content, including drug-target interactions, resistance/sensitivity data, and drug-drug interactions.
  • Evaluation of databases focusing on specific anticancer agents like natural products, peptides, and inhibitors.

Main Results:

  • Numerous databases exist, offering integrated information on anticancer drugs and their associated data.
  • Databases cover diverse aspects such as drug-target interactions, genetic mutations, and natural product-derived anticancer agents.
  • Key information includes drug resistance/sensitivity, drug-drug interactions, and specific inhibitor classes.

Conclusions:

  • Anticancer drug databases are invaluable tools for researchers and clinicians.
  • These databases support the identification of novel therapeutic targets and drug candidates.
  • Optimizing the use and development of these databases can lead to improved cancer treatment outcomes.

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