Identification of biological targets through the correlation between cell line chemosensitivity and protein expression pattern

Drug Discov Today. 2021 Oct;26(10):2431-2438. doi: 10.1016/j.drudis.2021.05.013. Epub 2021 May 26.

Abstract

Matching biological data sequences is one of the most interesting ways to discover new bioactive compounds. In particular, matching cell chemosensitivity with a protein expression profile can be a useful approach to predict the activity of compounds against definite biological targets. In this review, we discuss this correlation. First, we analyze case studies in which some known drugs, acting on known targets, show a good correlation between their antiproliferative activities and protein expression when a large panel of tumor cells is considered. Then, we highlight how the application of in silico methods based on the correlation between cell line chemosensitivity and gene/protein expression patterns might be a quick, cheap, and interesting approach to predict the biological activity of investigated molecules.

Keywords: Biological target; Chemosensitivity; NCI-60 cell lines panel; Protein expression pattern.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Antineoplastic Agents / pharmacology*
  • Cell Line, Tumor
  • Computer Simulation
  • Drug Discovery / methods
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Molecular Targeted Therapy*
  • Neoplasms / drug therapy*
  • Neoplasms / genetics
  • Neoplasms / pathology

Substances

  • Antineoplastic Agents