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:103
Name:Compound 103
Description:Original numeration in publication: 8
Labels:Training_set, Nicotinamide-pyridine
CAS:
InChi Code:InChI=1S/C22H17N5O2/c28-21(16-4-3-11-23-12-16)26-18-9-7-15(8-10-18)22(29)27-25-14-17-13-24-20-6-2-1-5-19(17)20/h1-14,24H,(H,26,28)(H,27,29)/b25-14+

Properties

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

ValueSource or prediction
6.64

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

7.3797

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