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Translating cancer research by synthetic biology

Authors: Sumitra Shankar; M. Radhakrishna Pillai;

Translating cancer research by synthetic biology

Abstract

Synthetic biology concerns applying engineering principles to biological systems. Engineering properties such as fine tuning, novel specificity, and modularity could be components of a synthetic toolkit that can be exploited to explore various issues in cancer research such as elucidation of mechanisms and pathways, creating new diagnostic tools and novel therapeutic approaches. A repertoire of synthetic biology toolkits involving DNA, RNA and protein bio-parts, have been applied to address the issues of drug target identification, drug discovery and therapeutic treatment in cancer research, thereby projecting a new dimension in oncology research.

Related Organizations
Keywords

Antineoplastic Agents, Bioengineering, Protein Engineering, Translational Research, Biomedical, Drug Delivery Systems, Neoplasms, Drug Discovery, Animals, Humans, Synthetic Biology, Drug Screening Assays, Antitumor

  • BIP!
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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).
    15
    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).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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Found an issue? Give us feedback
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!
15
Average
Average
Top 10%
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