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Biomedical Sciences | Systems and Synthetic Biology - incl. option to publish open access (Editorial Board)

Systems and Synthetic Biology

Systems and Synthetic Biology

Editors-in-Chief: R. Weiss; P.K. Dhar

ISSN: 1872-5325 (print version)
ISSN: 1872-5333 (electronic version)

Journal no. 11693


Pawan K. Dhar
University of Kerala, India

Ron Weiss
Massachusetts Institute of Technology, MA, USA

Editorial Board

Niyaz Ahmad, University of Hyderabad, India
Narayana Annaluru, Johns Hopkins University, Baltimore, USA
Frances H. Arnold, California Institute of Technology, Pasadena, CA, USA
James B. Bassingthwaighte, The University of Washington, Seattle, USA
Martha Bulyk, Harvard University, Boston, USA
Robert Carlson, University of Washington, Seattle, USA
Kwang-Hyun Cho, Korea Advanced Inst of Science & Technology, Daejeon, Republic of Korea
Sangdun Choi, Caltech, California, USA
Charles DeLisi, Boston University, Boston, USA
Drew Endy, MIT, Cambridge MA, USA
Martin Fussenegger, ETH-Honggerberg, Zurich, Switzerland
Timothy Gardner, Boston University, Boston, USA
Yoram Gerchman, Haifa University-Oranim, Israel Haifa University-Oranim
David Gilbert, University of Glasgow, Scotland, UK
Alessandro Giuliani, Instituto Superiore di Sanita, Rome, Italy
Igor Goryanin, University of Edinburgh, UK
Zhu Hao, Southern Medical University, Guangzhou, China
James L. Hargrove, The University of Georgia, Athens, USA
Jeff Hasty, University of California San Diego, La Jolla, CA, USA
Sui Huang, University of Calgary, Alberta, Canada
Ravi Iyengar, Mount Sinai School of Medicine, New York, USA
Mads Kaern, University of Ottawa, Ottawa, Canada
Minoru Kanehisa, Institute for Chemical Research, Kyoto, Japan
Boris Kholodenko, Thomas Jefferson University, Philadelphia, USA
Hiraoki Kitano, Sony Computer Sciences Labs, Tokyo, Japan
Ursula Klingmueller, German Cancer Research Center (DKFZ), Heidelberg, Germany
Alireza Mashagi, Delft University of Technology, Delft, The Netherlands
Oliver Mason, Hamilton Institute, Ireland, Ireland
Satoshi Matsuoka, Kyoto University, Kyoto, Japan
Andrew McCulloch, University of California at San Diego, California, USA
June I. Medford, Colorado State University, Colorado, USA
Asawin Meechai, King Mongkut’s University of Technology, Bangkok, Thailand
Stefan C. Müeller, Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany
Joseph Nadeau, Case Western Reserve University, Ohio, USA
Radhika Nagpal, Harvard University Boston, USA
Alex Ninfa, University of Michigan, Ann Arbour, USA
Edward Oakeley, Friedrich Miescher Institute,Basel, Switzerland
Sven Panke, ETH Zürich, Zürich, Switzerland
S. Randall Thomas, Universite d'Evry Val d'Essonne, Evry, France
Michael Rebhan, Friedrich Miescher Institute, Basel, Switzerland
Yoshiyuki Sakaki, RIKEN Genomic Sciences Center, Yokohama, Japan
Herbert Sauro, University of Washington, Seattle, USA
Kenneth Showalter, West Virginia University, West Virginia, USA
Eduardo D. Sontag, Rutgers, The State University of New Jersey, New Jersey, USA
Jorg Stelling, Institute of Computational Science ETH Zurich, Switzerland
Shankar Subramaniam, University of California at San Diego, La Jolla, USA
Uttam Surana, Institute for Molecular & Cellular Biology, Singapore, Singapore
Stephen Thiberge, Princeton University, New Jersey, USA
Jens Timmer, University of Freiberg, Freiburg, Germany
Masaru Tomita, Keio University, Tsuruoka, Japan
Masa Tsuchiya, Keio University, Tsuruoka, Japan
John Tyson, Virginia Polytechnic Institute & State University, Blacksburg, USA
Chris Voigt, University of California, San Francisco, CA, USA
Liliana Wroblewswka, Massachusetts Institute of Technology, MA, USA
Lingchong You, Duke University, Durham, NC, USA
Michael Zhang, Cold Spring Harbor, New York, USA

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For authors and editors

  • Aims and Scope

    Aims and Scope


    Systems and Synthetic Biology is a new biomedical journal publishing original papers and articles on all aspects of Systems and Synthetic Biology.

    Systems Biology is an integrated approach to study collective behaviour of biological interactions. The grand challenge in Systems Biology is to connect molecular topography with physiological responses. Systems Biology field will realize its fullest potential once individual contributions are tied to variations in the system level behavior.

    The emerging field of synthetic biology combines knowledge from various disciplines including molecular biology, engineering, mathematics, and physics to design and implement new cellular behaviors. The goal of synthetic biology is both to improve our quantitative understanding of natural phenomenon as well as to foster an engineering discipline for obtaining new complex cell behaviors in a predictable and reliable fashion. Systems and Synthetic Biology will publish research articles that either advance this field as an engineering discipline or use synthetic biology to improve our scientific knowledge of existing phenomena.

    Publication criteria
    Systems Biology

    * Experimental and computational studies that associate collective behavior of molecules with  higher order behavior of metabolic, signaling systems and gene regulatory networks.
    * Experimental and computational studies that associate pathway and network contacts with behavior of organelles, cells, tissues, physiological systems and organisms.
    * Pathway ontology, systems and synthetic biology tools, molecular interaction databases and model databases
    * New experimental and mathematical methods important to systems biology.

    note: computational models that lead to the experimentally validated discovery of novel biological phenomenon will receive highest priority and will be treated as accelerated publications

    Synthetic Biology

    * Design and fabrication of unnatural biological components and systems.
    * Novel design of natural and synthetic parts for a designed function.
    * Experimental and Computational tools and techniques used in synthetic biology.

    Exclusion Criteria
    Experimental and computational studies that describe:

    Sequence analysis and structure prediction.
    Data mining, alignment and molecular ontology.
    Protein structural analysis.
    Genome analysis and tools.
    Molecular and genome annotation.
    Sequence databases.
    Population dynamics and mathematical biology.
    Natural properties of genes and proteins.
    Atomic interactions in proteins & protein folding.

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    Systems and Synthetic Biology


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