Open AccessInvestigations on Anticancer and Antimalarial Activities of Indole-Sulfonamide Derivatives and In Silico Studies
Author(s) -
Ratchanok Pingaew,
Prasit Mandi,
Veda Prachayasittikul,
Anusit Thongnum,
Supaluk Prachayasittikul,
Somsak Ruchirawat,
Virapong Prachayasittikul
Publication year - 2021
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.1c04552
Subject(s) - quantitative structure–activity relationship , chemistry , indole test , in silico , stereochemistry , antimalarial agent , cancer cell lines , sulfonamide , docking (animal) , combinatorial chemistry , computational chemistry , cancer cell , cancer , biochemistry , biology , plasmodium falciparum , malaria , medicine , nursing , immunology , gene , genetics
A library of 44 indole-sulfonamide derivatives ( 1 - 44 ) were investigated for their cytotoxic activities against four cancer cell lines (i.e., HuCCA-1, HepG2, A549, and MOLT-3) and antimalarial effect. Most of the studied indoles exhibit anticancer activity against the MOLT-3 cell line, whereas only hydroxyl-containing bisindoles displayed anticancer activities against the other tested cancer cells as well as antimalarial effect. The most promising anticancer compounds were noted to be CF 3 , Cl, and NO 2 derivatives of hydroxyl-bearing bisindoles ( 30 , 31 , and 36 ), while the most promising antimalarial compound was an OCH 3 derivative of non-hydroxyl-containing bisindole 11 . Five quantitative structure-activity relationship (QSAR) models were successfully constructed, providing acceptable predictive performance (training set: R = 0.6186-0.9488, RMSE = 0.0938-0.2432; validation set: R = 0.4242-0.9252, RMSE = 0.1100-0.2785). QSAR modeling revealed that mass, charge, polarizability, van der Waals volume, and electronegativity are key properties governing activities of the compounds. QSAR models were further applied to guide the rational design of an additional set of 22 compounds ( P1 - P22 ) in which their activities were predicted. The prediction revealed a set of promising virtually constructed compounds ( P1 , P3 , P9 , P10 , and P16 ) for further synthesis and development as anticancer and antimalarial agents. Molecular docking was also performed to reveal possible modes of bindings and interactions between the studied compounds and target proteins. Taken together, insightful structure-activity relationship information obtained herein would be beneficial for future screening, design, and structural optimization of the related compounds.