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:84
Name:Compound 84
Description:Original numeration in publication: 30h
Labels:Training_set, Quinoxalines
CAS:
InChi Code:InChI=1S/C24H19N5O4S/c1-15-24(28-21-5-3-2-4-20(21)25-15)34-14-22(30)26-17-8-6-16(7-9-17)23(31)27-18-10-12-19(13-11-18)29(32)33/h2-13H,14H2,1H3,(H,26,30)(H,27,31)

Properties

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

ValueSource or prediction
7.93

Alanazi, M. M.; Eissa, I. H.; Alsaif, N. A. a. O., A. J.; Alanazi, W. A.; Alasmari, A. F. a. A., H.; Elkady, H.; Elwan, A. Design, synthesis, docking, ADMET studies, and anticancer evaluation of new 3-methylquinoxaline derivatives as VEGFR-2 inhibitors and apoptosis inducers. J. Enzyme Inhib. Med. Chem. 2021, 36, 1760–1782. https://doi.org/10.1080/14756366.2021.1956488

7.64172

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