Russian
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 2010-Oct

Three-dimensional quantitative structure-activity relationship CoMSIA/CoMFA and LeapFrog studies on novel series of bicyclo [4.1.0] heptanes derivatives as melanin-concentrating hormone receptor R1 antagonists.

Только зарегистрированные пользователи могут переводить статьи
Войти Зарегистрироваться
Ссылка сохраняется в буфер обмена
Alejandro Morales-Bayuelo
Hernan Ayazo
Ricardo Vivas-Reyes

Ключевые слова

абстрактный

Comparative molecular similarity indices analysis (CoMSIA) and comparative molecular field analysis (CoMFA) were performed on a series of bicyclo [4.1.0] heptanes derivatives as melanin-concentrating hormone receptor R1 antagonists (MCHR1 antagonists). Molecular superimposition of antagonists on the template structure was performed by database alignment method. The statistically significant model was established on sixty five molecules, which were validated by a test set of ten molecules. The CoMSIA model yielded the best predictive model with a q(2) = 0.639, non cross-validated R(2) of 0.953, F value of 92.802, bootstrapped R(2) of 0.971, standard error of prediction = 0.402, and standard error of estimate = 0.146 while the CoMFA model yielded a q(2) = 0.680, non cross-validated R(2) of 0.922, F value of 114.351, bootstrapped R(2) of 0.925, standard error of prediction = 0.364, and standard error of estimate = 0.180. CoMFA analysis maps were employed for generating a pseudo cavity for LeapFrog calculation. The contour maps obtained from 3D-QSAR studies were appraised for activity trends for the molecules analyzed. The results show the variability of steric and electrostatic contributions that determine the activity of the MCHR1 antagonist, with these results we proposed new antagonists that may be more potent than previously reported, these novel antagonists were designed from the addition of highly electronegative groups in the substituent di(i-C(3)H(7))N- of the bicycle [4.1.0] heptanes, using the model CoMFA which also was used for the molecular design using the technique LeapFrog. The data generated from the present study will further help to design novel, potent, and selective MCHR1 antagonists.

Присоединяйтесь к нашей
странице facebook

Самая полная база данных о лекарственных травах, подтвержденная наукой

  • Работает на 55 языках
  • Травяные лекарства, подтвержденные наукой
  • Распознавание трав по изображению
  • Интерактивная карта GPS - отметьте травы на месте (скоро)
  • Прочтите научные публикации, связанные с вашим поиском
  • Ищите лекарственные травы по их действию
  • Организуйте свои интересы и будьте в курсе новостей исследований, клинических испытаний и патентов

Введите симптом или заболевание и прочтите о травах, которые могут помочь, введите лекарство и узнайте о болезнях и симптомах, против которых оно применяется.
* Вся информация основана на опубликованных научных исследованиях.

Google Play badgeApp Store badge