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:66
Name:Compound 66
Description:Original numeration in publication: 11e
Labels:Training_set, Quinoxalines
CAS:
InChi Code:InChI=1S/C26H23N5O4/c1-16(29-30-25(34)20-7-3-6-10-23(20)32)18-11-13-19(14-12-18)28-24(33)15-31-22-9-5-4-8-21(22)27-17(2)26(31)35/h3-14,32H,15H2,1-2H3,(H,28,33)(H,30,34)/b29-16+

Properties

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

ValueSource or prediction
5.99

El-Adl, K.; Sakr, H. M.; Yousef, R. G.; Mehany, A. B. M.; Abulkhair, H. S.; Eissa, I. H. New quinoxalin-2(1H)-one-derived VEGFR-2 inhibitors: Design, synthesis, in vitro anticancer evaluations, in silico ADMET, and docking studies. Arch. Pharm. (Weinheim) 2022, 355, e2200048. https://doi.org//10.1002/ardp.202200048

7.06967

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