Romanian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
European Journal of Medicinal Chemistry 2017-Sep

Novel 2-(2-alkylthiobenzenesulfonyl)-3-(phenylprop-2-ynylideneamino)guanidine derivatives as potent anticancer agents - Synthesis, molecular structure, QSAR studies and metabolic stability.

Numai utilizatorii înregistrați pot traduce articole
Log In / Înregistrare
Linkul este salvat în clipboard
Aneta Pogorzelska
Jarosław Sławiński
Beata Żołnowska
Krzysztof Szafrański
Anna Kawiak
Jarosław Chojnacki
Szymon Ulenberg
Joanna Zielińska
Tomasz Bączek

Cuvinte cheie

Abstract

A series of new 2-(2-alkylthiobenzenesulfonyl)-3-(phenylprop-2-ynylideneamino)guanidine derivatives have been synthesized and evaluated in vitro by MTT assays for their antiproliferative activity against cell lines of colon cancer HCT-116, cervical cancer HeLa and breast cancer MCF-7. The obtained results indicated that these compounds display prominent cytotoxic effect. The best anticancer properties have been observed for derivatives 44 (IC50 = 6-18 μM) and 45 (IC50 = 8-14 μM). Very good results of antiproliferative assays have been also shown for compounds 26, 36, and 46 and noticeable anticancer profile has been found for set of derivatives 34-39. Based on results of MTT assays the structure-activity relationships have been drawn. More in-depth biological research revealed that compounds 26, 33, 37, 39, 41 and 43 display cytotoxic effect only against cancer cells and do not inhibit the growth of non-malignant HaCaT cells. Furthermore, the novel series of derivatives have shown good metabolic stability, especially among the pharmacologically active compounds. To obtain a deeper insight into the molecular description of compounds activity the QSAR studies have been applied. Support vector machines (SVM) have been used to developed QSAR models for predicting the anti-proliferative activity of novel derivatives. The obtained SVM models have shown prognostic ability for HCT-116 and HeLa cell lines and as a result these models may be useful for further development of structurally similar derivatives with better biological properties.

Alăturați-vă paginii
noastre de facebook

Cea mai completă bază de date cu plante medicinale susținută de știință

  • Funcționează în 55 de limbi
  • Cure pe bază de plante susținute de știință
  • Recunoașterea ierburilor după imagine
  • Harta GPS interactivă - etichetați ierburile în locație (în curând)
  • Citiți publicațiile științifice legate de căutarea dvs.
  • Căutați plante medicinale după efectele lor
  • Organizați-vă interesele și rămâneți la curent cu noutățile de cercetare, studiile clinice și brevetele

Tastați un simptom sau o boală și citiți despre plante care ar putea ajuta, tastați o plantă și vedeți boli și simptome împotriva cărora este folosit.
* Toate informațiile se bazează pe cercetări științifice publicate

Google Play badgeApp Store badge