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Literature DB >> 17637784

Molecular systems biology in drug development.

Abstract

Molecular systems biology seeks to explain the behavior of complex cellular systems through a multicomponent analysis. We illustrate this approach and its relevance to drug development by reviewing two examples of the interplay between cellular processes and drugs: the internalization and recycling of oncogenic receptors, their ligands and therapeutic antibodies; and strategies for discovering drugs that affect intracellular protein kinase pathways.

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Year: 2007 PMID： 17637784 DOI： 10.1038/sj.clpt.6100293

Source DB: PubMed Journal: Clin Pharmacol Ther ISSN： 0009-9236 Impact factor: 6.875

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Cited

7 in total

1. The roadmap to personalized medicine.

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Journal: Clin Transl Sci Date: 2008-09 Impact factor: 4.689

2. Experimental therapeutics: a paradigm for personalized medicine.

Authors: Scott A Waldman; Walter K Kraft; Timothy J Nelson; Andre Terzic
Journal: Clin Transl Sci Date: 2009-12 Impact factor: 4.689

3. Bionic technologies transforming the science of healthcare delivery.

Authors: Scott A Waldman; Andre Terzic
Journal: Clin Transl Sci Date: 2011-04 Impact factor: 4.689

4. A fluorescent imaging method for analyzing the biodistribution of therapeutic monoclonal antibodies that can distinguish intact antibodies from their breakdown products.

Authors: Takuo Suzuki; Chihiro Miyazaki; Akiko Ishii-Watabe; Minoru Tada; Kumiko Sakai-Kato; Toru Kawanishi; Nana Kawasaki
Journal: MAbs Date: 2015-04-18 Impact factor: 5.857

Molecular systems biology in drug development.

1. The roadmap to personalized medicine.

2. Experimental therapeutics: a paradigm for personalized medicine.

3. Bionic technologies transforming the science of healthcare delivery.

4. A fluorescent imaging method for analyzing the biodistribution of therapeutic monoclonal antibodies that can distinguish intact antibodies from their breakdown products.

5. Kaposi's sarcoma: a computational approach through protein-protein interaction and gene regulatory networks analysis.

6. Maximizing the information content of experiments in systems biology.

Review 7. Systems biology and the host response to viral infection.