Automation to Enable High-Throughput Chemical Proteomics

Zongtao Lin, Joanna Gongora, Xingyu Liu, Yixuan Xie, Chenfeng Zhao, Dongwen Lv, Benjamin A. Garcia

Research output: Contribution to journalReview articlepeer-review

Abstract

Chemical proteomics utilizes small-molecule probes to covalently engage with their interacting proteins. Since chemical probes are tagged to the active or binding sites of functional proteins, chemical proteomics can be used to profile protein targets, reveal precise binding sites/mechanisms, and screen inhibitors competing with probes in a biological context. These capabilities of chemical proteomics have great potential to enable discoveries of both drug targets and lead compounds. However, chemical proteomics is limited by the time-consuming bottleneck of sample preparations, which are processed manually. With the advancement of robotics and artificial intelligence, it is now possible to automate workflows to make chemical proteomics sample preparation a high-throughput process. An automated robotic system represents a major technological opportunity to speed up advances in proteomics, open new frontiers in drug target discovery, and broaden the future of chemical biology.

Original languageEnglish (US)
Pages (from-to)3676-3682
Number of pages7
JournalJournal of Proteome Research
Volume22
Issue number12
DOIs
StatePublished - Dec 1 2023

Keywords

  • artificial intelligence
  • automation
  • chemical proteomics
  • high-throughput
  • robotics
  • sample preparation

ASJC Scopus subject areas

  • General Chemistry
  • Biochemistry

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