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:71
Name:Compound 71
Description:Original numeration in publication: 27c
Labels:Training_set, Quinoxalines
CAS:
InChi Code:InChI=1S/C26H24N4O5/c1-16-26(33)30(20-8-5-4-7-19(20)27-16)15-23(31)28-18-13-11-17(12-14-18)25(32)29-24-21(34-2)9-6-10-22(24)35-3/h4-14H,15H2,1-3H3,(H,28,31)(H,29,32)

Properties

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

ValueSource or prediction
7.94

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

7.04325

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