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:78
Name:Compound 78
Description:Original numeration in publication: 30b
Labels:Training_set, Quinoxalines
CAS:
InChi Code:InChI=1S/C24H28N4O2S/c1-16-24(28-21-10-6-5-9-20(21)25-16)31-15-22(29)26-19-13-11-17(12-14-19)23(30)27-18-7-3-2-4-8-18/h5-6,9-14,18,24,28H,2-4,7-8,15H2,1H3,(H,26,29)(H,27,30)/t24-/m1/s1

Properties

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

ValueSource or prediction
8.06

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

7.52783

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