Special Issue "Successes of Systems Biology and Future Challenges"

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A special issue of Cells (ISSN 2073-4409).

Deadline for manuscript submissions: closed (31 March 2013)

Special Issue Editors

Guest Editor
Dr. Nathan R. Brady
Research Group of Systems Biology of Cell Death Mechanisms, German Cancer Research Center (DKFZ), and Department of Surgery, Medical Faculty, University of Heidelberg, BioQuant, INF 267, 69120 Heidelberg, Germany
Website: http://bradylabs.bioquant.uni-heidelberg.de
E-Mail: n.brady@dkfz.de
Phone: +49 6221 5451 357
Interests: autophagy; autophagy receptors; BH3-only proteins; apoptosis; quantitative microscopy; systems biology; dynamic modeling of signal transduction; data-driven modeling

Guest Editor
Dr. Sehyo Charley Choe
Research Group of Systems Biology of Cell Death Mechanisms, German Cancer Research Center (DKFZ), and Department of Surgery, Medical Faculty, University of Heidelberg, BioQuant, INF 267, 69120 Heidelberg, Germany
Website: http://bradylabs.bioquant.uni-heidelberg.de
E-Mail: charley.choe@bioquant.uni-heidelberg.de
Phone: +49 6221 5451324
Interests: complex adaptive many-body systems; agent-based modeling; ODE modeling; spatio-temporal multi-scale modeling; Systems Biology; network theory; apoptosis; autophagy

Special Issue Information

Dear Colleagues,

Research in the post-genomic era is generating an unprecedented amount of genetic information, with the promise to achieve effective, targeted and personalized therapies against human disease. However, predicting the contribution of changes at the genomic and transcriptomic levels to multi-factorial diseases, such as cancer, requires that biology undergoes a transformation into a reproducibly quantitative science, with organism-specific resolution. To that end, over the past decade fruitful inter-disciplinary approaches have developed through collaborations between bench molecular biologists and scientists from computational and mathematical fields, launching the integrative framework of Systems Biology.
In addition to genomics, other fields, such as metabolomics, proteomics, and high-content microscopy have emerged as driving forces for the quantitative investigation of spatial and temporal dynamics of cellular physiology and pathophysiology. Simultaneously, integrative mathematical modeling approaches and tools have been applied to permit not only the investigation of biological heterogeneity and spatio-temporal complexity, but develop hypothesis-driven investigation into emergent behavior. Remarkable successes have been achieved in the quantitative study of biological processes, from identification of point mutations within genes and the subsequent understanding of their impact on protein-protein network functionality and organismal physiological consequences. However, many challenges remain ahead for the ongoing reshaping of our current approach to biology into a modernistic Systems Biology.
To that end, the goal of this Special Issue is to build an Open Access forum to discuss the advancement of Systems Biology, through both original work and review articles. We are welcoming contributions for all aspects of molecular systems biology, including topics from genes to organism, data collection to data analysis, and correlative to predictive mathematical modeling.

 

Dr. Nathan R. Brady
Dr. Sehyo Charley Choe
Guest Editors

Submission

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cells is an international peer-reviewed Open Access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 500 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.

Keywords

  • systems biology
  • network modeling
  • data-driven modeling
  • multi-scalability
  • quantitative biology
  • cell-to-cell variability
  • genomics
  • proteomics
  • personalized medicine

Published Papers (5 papers)

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Displaying article 1-5
p. 476-495
by , ,  and
Cells 2013, 2(3), 476-495; doi:10.3390/cells2030476
Received: 8 May 2013; in revised form: 29 May 2013 / Accepted: 19 June 2013 / Published: 27 June 2013
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(This article belongs to the Special Issue Successes of Systems Biology and Future Challenges)
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p. 414-431
by
Cells 2013, 2(2), 414-431; doi:10.3390/cells2020414
Received: 1 April 2013; in revised form: 17 May 2013 / Accepted: 5 June 2013 / Published: 19 June 2013
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(This article belongs to the Special Issue Successes of Systems Biology and Future Challenges)
p. 393-413
by
Cells 2013, 2(2), 393-413; doi:10.3390/cells2020393
Received: 4 April 2013; in revised form: 6 May 2013 / Accepted: 15 May 2013 / Published: 31 May 2013
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(This article belongs to the Special Issue Successes of Systems Biology and Future Challenges)
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p. 306-329
by ,  and
Cells 2013, 2(2), 306-329; doi:10.3390/cells2020306
Received: 26 February 2013; in revised form: 22 April 2013 / Accepted: 27 April 2013 / Published: 10 May 2013
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(This article belongs to the Special Issue Successes of Systems Biology and Future Challenges)
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p. 284-293
by
Cells 2013, 2(2), 284-293; doi:10.3390/cells2020284
Received: 20 February 2013; in revised form: 3 April 2013 / Accepted: 15 April 2013 / Published: 29 April 2013
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Last update: 22 August 2013

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