Due to the nature of amino acids that make up proteins, it is possible to detect small patterns within their sequence. Some of these sequences have been identified as motifs, characterized by defined signatures that are shared across different proteins. In this study, patterns are defined as short amino acid sequences that are commonly found among proteins involved in various types of cancer. The research focuses on the localization of such patterns in ALDH2, chosen as a reference protein because it is known to be inhibited by disulfiram. Disulfiram, originally used to treat alcohol use disorder (AUD), has been repurposed for the treatment of lung cancer. Analyzing shared patterns can help identify common protein structures and may assist in locating potential binding cavities and interaction sites, while also improving our understanding of how related or structurally similar proteins might be affected by certain drugs. This approach provides a new perspective on drug specificity and targeting, highlighting three achievements: identifying conserved amino acid motifs in cancer-related proteins, a case study on ALDH2 inhibition by disulfiram, and showing how motif analysis can guide drug repurposing.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Sharing Patterns Between Proteins and Exploring Possible Drug Interactions

  • Paloma Tejera-Nevado,
  • Alejandro Rodríguez-González

摘要

Due to the nature of amino acids that make up proteins, it is possible to detect small patterns within their sequence. Some of these sequences have been identified as motifs, characterized by defined signatures that are shared across different proteins. In this study, patterns are defined as short amino acid sequences that are commonly found among proteins involved in various types of cancer. The research focuses on the localization of such patterns in ALDH2, chosen as a reference protein because it is known to be inhibited by disulfiram. Disulfiram, originally used to treat alcohol use disorder (AUD), has been repurposed for the treatment of lung cancer. Analyzing shared patterns can help identify common protein structures and may assist in locating potential binding cavities and interaction sites, while also improving our understanding of how related or structurally similar proteins might be affected by certain drugs. This approach provides a new perspective on drug specificity and targeting, highlighting three achievements: identifying conserved amino acid motifs in cancer-related proteins, a case study on ALDH2 inhibition by disulfiram, and showing how motif analysis can guide drug repurposing.