Predictive modelling of the LD50 activities of coumarin derivatives using neural statistical approaches: Electronic descriptor-based DFT-Reference-Cited by-同舟云学术

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Predictive modelling of the LD50 activities of coumarin derivatives using neural statistical approaches: Electronic descriptor-based DFT

Published:2016-10 Issue:4 Volume:10 Page:451-461
ISSN:1658-3655
Container-title:Journal of Taibah University for Science
language:en
Short-container-title:Journal of Taibah University for Science

Author:

Hmamouchi Rachid¹,Larif Majdouline²,Chtita Samir¹,Adad Azeddine¹,Bouachrine Mohammed³,Lakhlifi Tahar¹

Affiliation:

1. Molecular Chemistry and Natural Substances Laboratory, Faculty of Science, University Moulay Ismail, Meknes, Morocco

2. Separation Process Laboratories, Faculty of Science, University Ibn Tofail, Kenitra, Morocco

3. ESTM, University Moulay Ismail, Meknes, Morocco

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1016/j.jtusci.2015.06.013

Reference39 articles.

1. J.L.GuignardAbrégé de botanique1998MassonParis212

2. Determination of coumarins from Chrysanthemum segetum L. by capillary electrophoresis

3. Scopoletin uptake from culture medium and accumulation in the vacuoles after conversion to scopolin in 2,4-D-treated tobacco cells

4. Antimicrobial activity of some coumarin containing herbal plants growing in Finland

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