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.

Lauria, A., La Monica, G., Gentile, C., Mannino, G., Martorana, A., & Peri, D. (2021). Identification of biological targets through the correlation between cell line chemosensitivity and protein expression pattern. DRUG DISCOVERY TODAY [10.1016/j.drudis.2021.05.013].

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

Lauria, Antonino
;
La Monica, Gabriele;Gentile, Carla;Martorana, Annamaria;Peri, Daniele
2021

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.
Settore CHIM/08 - Chimica Farmaceutica
Lauria, A., La Monica, G., Gentile, C., Mannino, G., Martorana, A., & Peri, D. (2021). Identification of biological targets through the correlation between cell line chemosensitivity and protein expression pattern. DRUG DISCOVERY TODAY [10.1016/j.drudis.2021.05.013].
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S1359644621002452-main (1).pdf

non disponibili

Descrizione: articolo principale
Tipologia: Post-print
Dimensione 745.61 kB
Formato Adobe PDF
745.61 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/514241
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact