Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Efficient reengineering of meso-scale topologies for functional networks in biomedical applications Andreas A Schuppert | Journal of Mathematics in Industry 2011 1 6 DOI 2190-5983-1-6 Journal of Mathematics in Industry a SpringerOpen Journal RESEARCH Open Access Efficient reengineering of meso-scale topologies for functional networks in biomedical applications Andreas A Schuppert Received 17 December 2010 Accepted 23 June 2011 Published online 23 June 2011 2011 Schuppert licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License Abstract Despite the deluge of bioinformatics data the extraction of information with respect to complex diseases remains an open challenge. The development of efficient tools allowing the re-engineering of functional biological networks will therefore be crucial for the future of the pharmaceutical and biotech industry. In this paper we present a method for efficient re-engineering of meso-scale network topologies for biomedical systems from stationary data. We show that the meso-scale topology is related to functional structures of the input-output data of the entire system which can be unravelled from high throughput screening experiments without information with respect to intermediate variables. Analysis of the functional structure of the data provides a complementary approach to established network reengineering methods based on combinatorial optimization. A combination of both approaches will help to overcome the drawbacks of the established network reengineering algorithms. 1 Introduction The health care systems of western ageing societies suffer from a continuously increasing frequency of complex diseases such as cancer metabolic syndrome auto immune diseases or diseases of the central nervous system. In contrast to infectious diseases all these diseases are characterized by a dysfunction of the biological regulation systems of patients. They cannot be reduced to single root causes and we still lack a sound mechanistic understanding of even the un-diseased function of the relevant
