Formula: C7H4Cl2O2. In 2020 INT J MOL SCI published article about SULFONAMIDE HYBRIDS; DERIVATIVES; QSAR; AGENTS in [Szafranski, Krzysztof; Slawinski, Jaroslaw; Tomorowicz, Lukasz] Med Univ Gdansk, Fac Pharm, Dept Organ Chem, Al Gen J Hallera 107, Gdansk 80416, Poland; [Kawiak, Anna] Univ Gdansk, Intercollegiate Fac Biotechnol, Dept Biotechnol, Ul Abrahama 58, Gdansk 80307, Poland; [Kawiak, Anna] Med Univ Gdansk, Ul Abrahama 58, Gdansk 80307, Poland in 2020, Cited 28. The Name is 2,4-Dichlorobenzoic acid. Through research, I have a further understanding and discovery of 50-84-0.
To learn more about the structure-activity relationships of (E)-3-(5-styryl-1,3,4-oxadiazol-2-yl)benzenesulfonamide derivatives, which in our previous research displayed promising in vitro anticancer activity, we have synthesized a group of novel (E)-5-[(5-(2-arylvinyl)-1,3,4-oxadiazol-2-yl)]-4-chloro-2-R-1-benzenesulfonamides 7-36 as well as (E)-4-[5-styryl1,3,4-oxadiazol-2-yl]benzenesulfonamides 47-50 and (E)-2-(2,4-dichlorophenyl)-5-(2-arylvinyl)-1,3,4-oxadiazols 51-55. All target derivatives were evaluated for their anticancer activity on HeLa, HCT-116, and MCF-7 human tumor cell lines. The obtained results were analyzed in order to explain the influence of a structure of the 2-aryl-vinyl substituent and benzenesulfonamide scaffold on the anti-tumor activity. Compound 31, bearing 5-nitrothiophene moiety, exhibited the most potent anticancer activity against the HCT-116, MCF-7, and HeLa cell lines, with IC50 values of 0.5, 4, and 4.5 mu M, respectively. Analysis of structure-activity relationship showed significant differences in activity depending on the substituent in position 3 of the benzenesulfonamide ring and indicated as the optimal meta position of the sulfonamide moiety relative to the oxadizole ring. In the next stage, chemometric analysis was performed basing on a set of computed molecular descriptors. Hierarchical cluster analysis was used to examine the internal structure of the obtained data and the quantitative structure-activity relationship (QSAR) analysis with multiple linear regression (MLR) method allowed for finding statistically significant models for predicting activity towards all three cancer cell lines.
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Reference:
Chloride – Wikipedia,
,Chlorides – an overview | ScienceDirect Topics