3D-ALMOND-QSAR Models to Predict the Antidepressant Effect of Some Natural Compounds
The current treatment of depression involves antidepressant synthetic drugs that have a variety of side effects. In searching for alternatives, natural compounds could represent a solution, as many studies reported that such compounds modulate the nervous system and exhibit antidepressant effects. W...
保存先:
主要な著者: | Speranta Avram (著者), Miruna Silvia Stan (著者), Ana Maria Udrea (著者), Cătălin Buiu (著者), Anca Andreea Boboc (著者), Maria Mernea (著者) |
---|---|
フォーマット: | 図書 |
出版事項: |
MDPI AG,
2021-09-01T00:00:00Z.
|
主題: | |
オンライン・アクセス: | Connect to this object online. |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Bioinformatics Tools for the Analysis of Active Compounds Identified in Ranunculaceae Species
著者:: Cătălina Mareş, 等
出版事項: (2023) -
Target Prediction of 5,10,15,20-Tetrakis(4'-Sulfonatophenyl)-Porphyrin Using Molecular Docking
著者:: Ana-Maria Udrea, 等
出版事項: (2022) -
The Almond in California
著者:: Taylor, R. H. (Ralph Hawley), 1884-1979 -
Biomedical Promise of Sustainable Microwave-Engineered Symmetric Curcumin Derivatives
著者:: Cristina Doina Niţu, 等
出版事項: (2024) -
Natural Compounds With Antimicrobial and Antiviral Effect and Nanocarriers Used for Their Transportation
著者:: Diana Stan, 等
出版事項: (2021)