10967/276 - QDB Compounds

QsarDB Repository

Zukic, S.; Ivanova, L.; Zusinaite, E.; Merits, A.; Maran, U. Discovery of a Novel Phthalazine-Based VEGFR-2 Inhibitor by Machine Learning Analysis of Diverse Chemical Space with Favorable Pharmacophores and Its Evaluation in Glioblastoma Cell Lines. Results in Chemistry, Under revision

Compound

ID:101
Name:Compound 101
Description:Original numeration in publication: 6
Labels:Training_set, Nicotinamide-pyridine
CAS:
InChi Code:InChI=1S/C20H15ClN4O2/c21-17-7-3-14(4-8-17)12-23-25-20(27)15-5-9-18(10-6-15)24-19(26)16-2-1-11-22-13-16/h1-13H,(H,24,26)(H,25,27)/b23-12+

Properties

pIC50: Negative logarithm of half-maximal inhibitory concentration [-log(uM)]

ValueSource or prediction
7.22

Elkaeed, E. B.; Yousef, R. G.; Khalifa, M. M. a. I., A.; Mehany, A. B. M.; Gobaara, I. M. M. a. A., B. A.; Eldehna, W. M.; Metwaly, A. M. a. E., I. H.; El-Zahabi, M. A. Discovery of new VEGFR-2 inhibitors: Design, synthesis, anti-proliferative evaluation, docking, and MD simulation studies. Molecules 2022, 27, 6203. https://doi.org/10.3390/molecules27196203

6.82663

Eq1: VEGFR-2 inhibition (Data used to train model)