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:85
Name:Compound 85
Description:Original numeration in publication: 30i
Labels:Training_set, Quinoxalines
CAS:
InChi Code:InChI=1S/C23H18ClN5O2S/c1-14-23(28-19-5-3-2-4-18(19)26-14)32-13-21(30)27-17-9-6-15(7-10-17)22(31)29-20-11-8-16(24)12-25-20/h2-12H,13H2,1H3,(H,27,30)(H,25,29,31)

Properties

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

ValueSource or prediction
8.21

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

7.35867

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