Predicting In Silico Which Mixtures of the Natural Products of Plants Might Most Effectively Kill Human Leukemia Cells?
Joint Authors
Aboul-Enein, Khalid M.
Lightfoot, David A.
El-Shemy, Hany A.
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-01-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The aim of the analysis of just 13 natural products of plants was to predict the most likely effective artificial mixtures of 2-3 most effective natural products on leukemia cells from over 364 possible mixtures.
The natural product selected included resveratrol, honokiol, chrysin, limonene, cholecalciferol, cerulenin, aloe emodin, and salicin and had over 600 potential protein targets.
Target profiling used the Ontomine set of tools for literature searches of potential binding proteins, binding constant predictions, binding site predictions, and pathway network pattern analysis.
The analyses indicated that 6 of the 13 natural products predicted binding proteins which were important targets for established cancer treatments.
Improvements in effectiveness were predicted for artificial combinations of 2 or 3 natural products.
That effect might be attributed to drug synergism rather than increased numbers of binding proteins bound (dose effects).
Among natural products, the combinations of aloe emodin with mevinolin and honokiol were predicted to be the most effective combination for AML-related predicted binding proteins.
Therefore, plant extracts may in future provide more effective medicines than the single purified natural products of modern medicine, in some cases.
American Psychological Association (APA)
El-Shemy, Hany A.& Aboul-Enein, Khalid M.& Lightfoot, David A.. 2013. Predicting In Silico Which Mixtures of the Natural Products of Plants Might Most Effectively Kill Human Leukemia Cells?. Evidence-Based Complementary and Alternative Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-499127
Modern Language Association (MLA)
El-Shemy, Hany A.…[et al.]. Predicting In Silico Which Mixtures of the Natural Products of Plants Might Most Effectively Kill Human Leukemia Cells?. Evidence-Based Complementary and Alternative Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-499127
American Medical Association (AMA)
El-Shemy, Hany A.& Aboul-Enein, Khalid M.& Lightfoot, David A.. Predicting In Silico Which Mixtures of the Natural Products of Plants Might Most Effectively Kill Human Leukemia Cells?. Evidence-Based Complementary and Alternative Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-499127
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499127