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:86
Name:Compound 86
Description:Original numeration in publication: 31a
Labels:Training_set, Quinoxalines
CAS:
InChi Code:InChI=1S/C25H21N5O3S/c1-16-25(28-21-10-6-5-9-20(21)26-16)34-15-22(31)27-19-13-11-18(12-14-19)24(33)30-29-23(32)17-7-3-2-4-8-17/h2-14H,15H2,1H3,(H,27,31)(H,29,32)(H,30,33)

Properties

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

ValueSource or prediction
7.97

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

7.65402

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