scispace - formally typeset
K

Kaixian Chen

Researcher at Chinese Academy of Sciences

Publications -  403
Citations -  11476

Kaixian Chen is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Virtual screening & Chemistry. The author has an hindex of 47, co-authored 380 publications receiving 9209 citations. Previous affiliations of Kaixian Chen include Shanghai University & East China University of Science and Technology.

Papers
More filters
Journal ArticleDOI

New p-methylsulfonamido phenylethylamine analogues as class III antiarrhythmic agents: design, synthesis, biological assay, and 3D-QSAR analysis.

TL;DR: The results showed that the 3D-QSAR models are reliable and can be extended to design new antiarrhythmic agents and could describe the steric, electrostatic, and hydrophobic requirements for recognition forces of the receptor site.
Journal ArticleDOI

A model molecule study of the O-centered and the C-centered free radical intermediates of artemisinin

TL;DR: In this paper, the 6,7,8-trioxybicyclo[3,2,2]nonane has been used as a model molecule for the anti-malarial drug artemisinin.
Journal ArticleDOI

Inhibitory mode of indole-2-carboxamide derivatives against HLGPa: molecular docking and 3D-QSAR analyses.

TL;DR: In this paper, a series of indole-2-carboxamide compounds with human liver glycogen phosphorylase a (HLGPa) have been studied employing molecular docking and 3D-QSAR approaches.
Journal ArticleDOI

Indole alkaloid glycosides from Isatis tinctoria roots.

TL;DR: Two new indole alkaloid glycoside glycosides along with five known ones were obtained from the roots of I. tinctoria and showed inhibitory effects against LPS-stimulated RAW 264.7 cells.
Journal ArticleDOI

Combinatorial pharmacophore modeling of organic cation transporter 2 (OCT2) inhibitors: insights into multiple inhibitory mechanisms.

TL;DR: A combinatorial scheme to screen the optimum combination of pharmacophores from a pool of hypotheses established based on 162 OCT2 inhibitors found that the number of matched hypotheses was positively correlated with inhibition rate, which coincides with the pharmacophore modeling result of P-gp substrate binding.