6533b7d4fe1ef96bd12632b9
RESEARCH PRODUCT
Identification of biological targets through the correlation between cell line chemosensitivity and protein expression pattern.
Carla GentileGiuseppe ManninoAntonino LauriaGabriele La MonicaAnnamaria MartoranaDaniele Perisubject
0301 basic medicineIn silicoCellAntineoplastic AgentsComputational biologyBiologyCorrelationNCI-60 cell lines panel03 medical and health sciences0302 clinical medicineCell Line TumorNeoplasmsDrug DiscoverymedicineHumansComputer SimulationMolecular Targeted TherapyChemosensitivityGeneBiological target; Chemosensitivity; NCI-60 cell lines panel; Protein expression patternPharmacologyBiological dataBiological activitySettore CHIM/08 - Chimica FarmaceuticaBiological target Chemosensitivity NCI-60 cell lines panel Protein expression patternGene Expression Regulation Neoplastic030104 developmental biologymedicine.anatomical_structureCell cultureBiological targetBiological target030220 oncology & carcinogenesisProtein expression patterndescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-10-01 | Drug discovery today |