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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Computers in Biology...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computers in Biology and Medicine
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Cheminformatics-based selection and synergism of herbal extracts with anticancer agents on drug resistance tumor cells—ACHN and A2780/CP cell lines

Authors: Soroush Sardari; Ghazaleh Ghavami; Mohammad Ali Shokrgozar;

Cheminformatics-based selection and synergism of herbal extracts with anticancer agents on drug resistance tumor cells—ACHN and A2780/CP cell lines

Abstract

The treatment of cancer usually involves lethal effect on normal body cells as side effects. Cheminformatics methodology can play a significant role in biomed/clinical scientific research. Similarity searching is a standard cheminformatics tool in drug discovery area and database design. In this study, five novel herbal extracts in combination with doxorubicin and cisplatin have been used to sensitize ACHN and A2780/cp cells. These herbal extracts have been selected on the basis of novel cheminformatics methodology and assayed for the first time. The findings confirmed predicted outcomes from the in silico research and the results introduced may bring to use the effects of these herbs in reversing of multidrug resistance (MDR) phenomenon.

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Keywords

Erythrocytes, Informatics, Computational Biology, Antineoplastic Agents, Drug Synergism, Musa, Adenocarcinoma, Boraginaceae, Hemolysis, Drug Resistance, Multiple, Kidney Neoplasms, Inhibitory Concentration 50, Doxorubicin, Drug Resistance, Neoplasm, Cell Line, Tumor, Animals, Humans, Female, Morus, Cisplatin

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Average
Average
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