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Call for Papers IEEE TRANSACTIONS ON AUTOMATIC CONTROL IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS: PART-I Joint Special Issue on Systems Biology The twenty first century is often predicted to be the century of biology. Seminal events such as the mapping of the human genome in 2001 have captured the imagination of not only the scientific community but also the public at large. Nowadays biology is widely perceived to be as much of an “information-based” science as it is an “experiment-based” science. Advances in experimental techniques have caused various databases such as the PDB and Genbank to double in size every nine months. This rapid increase outstrips the advances in computation predicted by Moore’s law, to the effect that the size of computers will double and the cost of computation will halve every eighteen months. Thus one cannot depend merely on “pure” computational power to understand complex biological systems. New and holistic approaches are needed to make sense of such systems. Systems biology can be defined as the study of organisms, or parts of an organism, viewed as an interconnection of various subsystems serving a variety of biological functions. A biological system can be studied at several levels of complexity and aggregation, such as genes, proteins, pathways, and cells. Thus, one may choose to study a gene regulatory network, or the absorption of a protein through a cellular membrane, or even more complicated phenomena. Clearly each of the systems is extremely complex in and by itself, and at the same time, forms a building block of the next level of systems. Central to the study of systems biology is the notion of dynamics. Indeed, it is fair to say that the notion of dynamics, and an explicit role for time as a parameter controlling the evolution of the biological system at hand, is one of the characteristics that distinguishes systems biology from computational biology. In view of the importance of systems biology, the IEEE Transactions on Automatic Control and the IEEE Transactions on Circuits and Systems, Part-I have come together to organize a special issue on the subject. Specific topics that fall under the purview of the proposed special issue would include, but not be limited to the following: • • • • • • Systems and control analysis of biological networks Dynamics of signaling and regulatory networks Methods and algorithms for biological network analysis Dynamic modeling and identification of biological networks at different levels of organization Control design motifs in biology Modeling, design, and construction of biological circuits (synthetic biology) Submission Details: All papers submitted to the special issue will be subject to peer review in accordance with the established practices of the IEEE Transactions on Automatic Control and the IEEE Transactions on Circuits and Systems, Part-I. Papers that do not fall within the scope of the special issue will be returned to the authors without review, to enable them to submit the paper through the normal channels. In view of the fact that many readers of the Transactions may be unfamiliar with biology, authors are encouraged to include a fairly detailed “Introduction” in their papers, and place the problems under study in proper context. However, in order to qualify for publication each paper must contain a significant amount of original contributions. Since manuscript processing will be handled by TCAS-I, prospective authors are invited to submit their manuscripts by following the guidelines posted at the website: http://tcas1.polito.it . Hardcopy submissions will not be accepted. Deadlines: Paper submission: January 22, 2007; Paper acceptance: June 2007; Publication: January 2008 Guest Editors Mustafa Khammash Director, Center for Control, Dynamical-Systems & Computation Dept. of Mechanical Engineering U. of California at Santa Barbara Santa Barbara, CA 93106 Phone: 805-893-4967 Fax: 805-893-8651 [email protected] Claire Tomlin Dept. of Aeronautics & Astronautics Stanford University Stanford, CA 94305 Tel: (650) 723 5164 Fax: (650) 723 3738 [email protected] M. Vidyasagar Executive Vice President Tata Consultancy Services No. 1, Software Units Layout, Madhapur Hyderabad 500081, India Tel: +91 40 6667 3001 Fax: +91 40 6667 2222 [email protected]
