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Predicting In Silico Which Mixtures of the Natural Products of Plants Might Most Effectively Kill Human Leukemia Cells?
المؤلفون المشاركون
Aboul-Enein, Khalid M.
Lightfoot, David A.
El-Shemy, Hany A.
المصدر
Evidence-Based Complementary and Alternative Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-01-28
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-499127
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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