2021
DOI: 10.1016/j.drudis.2021.05.013
|View full text |Cite
|
Sign up to set email alerts
|

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

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 58 publications
0
2
0
Order By: Relevance
“…To further investigate the putative dual-target mechanism of action of the selected compounds, an additional correlation analysis between drug activity and protein expression data, which we recently proposed and applied [ 76 , 77 ], was conducted.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To further investigate the putative dual-target mechanism of action of the selected compounds, an additional correlation analysis between drug activity and protein expression data, which we recently proposed and applied [ 76 , 77 ], was conducted.…”
Section: Resultsmentioning
confidence: 99%
“…Two large databases of CDK-1 and PARP-1 known modulators were downloaded from the BindingDB [80], a reliable web-accessible source of experimentally determined protein-ligand binding affinities, where the Ki, Kd, IC50, EC50 values, and the corresponding In detail, in the first phase of the protocol, the well-established molecular descriptorbased Biotarget Predictor Tool (BPT), developed by us and available online in the DRUDIT web-platform (DRUg DIscovery Tools, open access web service, www.drudit.com, accessed on 19 July 2023) [75], was applied. Subsequently, structure-based studies of molecular docking were integrated with a new in-house correlation approach to gain more insight into the binding mode and the mechanism of action of the selected hits [76,77]; as a last step, Molecular Dynamic Simulations (MDS) were conducted for the best ranked dual inhibitor on both target protein 3D structures.…”
Section: Ligand-based Template Buildingmentioning
confidence: 99%