455,521 research outputs found

    Optimization in computational systems biology

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    Optimization aims to make a system or design as effective or functional as possible. Mathematical optimization methods are widely used in engineering, economics and science. This commentary is focused on applications of mathematical optimization in computational systems biology. Examples are given where optimization methods are used for topics ranging from model building and optimal experimental design to metabolic engineering and synthetic biology. Finally, several perspectives for future research are outlined

    a variational approach to niche construction

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    In evolutionary biology, niche construction is sometimes described as a genuine evolutionary process whereby organisms, through their activities and regulatory mechanisms, modify their environment such as to steer their own evolutionary trajectory, and that of other species. There is ongoing debate, however, on the extent to which niche construction ought to be considered a bona fide evolutionary force, on a par with natural selection. Recent formulations of the variational free-energy principle as applied to the life sciences describe the properties of living systems, and their selection in evolution, in terms of variational inference. We argue that niche construction can be described using a variational approach. We propose new arguments to support the niche construction perspective, and to extend the variational approach to niche construction to current perspectives in various scientific fields

    Systems Biology of Gastric Cancer: Perspectives on the Omics-Based Diagnosis and Treatment

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    Gastric cancer is the fifth most diagnosed cancer in the world, affecting more than a million people and causing nearly 783,000 deaths each year. The prognosis of advanced gastric cancer remains extremely poor despite the use of surgery and adjuvant therapy. Therefore, understanding the mechanism of gastric cancer development, and the discovery of novel diagnostic biomarkers and therapeutics are major goals in gastric cancer research. Here, we review recent progress in application of omics technologies in gastric cancer research, with special focus on the utilization of systems biology approaches to integrate multi-omics data. In addition, the association between gastrointestinal microbiota and gastric cancer are discussed, which may offer insights in exploring the novel microbiota-targeted therapeutics. Finally, the application of data-driven systems biology and machine learning approaches could provide a predictive understanding of gastric cancer, and pave the way to the development of novel biomarkers and rational design of cancer therapeutics

    Recent advances in cardiovascular research: systems biology

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    The authors describe different bioinformatic approaches to cardiovascular research, focusing on: i) the complexity of cardiovascular diseases; ii) how does systems biology work and its application to cardiology; iii) new systems research in cardiology; iv) clinical cardiological practice; v) perspectives and limitations of systems biology in cardiology

    Clinical applications of personalized medicine: a new paradigm and challenge

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    The personalized medicine is an emergent and rapidly developing method of clinical practice that uses new technologies to provide decisions in regard to the prediction, prevention, diagnosis and treatment of disease. The continue evolution of technology and the developments in molecular diagnostics and genomic analysis increased the possibility of an even more understanding and interpretation of the human genome and exome, allowing a "personalized" approach to clinical care, so that the concepts of "Systems Medicine" and "System Biology" are increasingly actual. The purpose of this study is to evaluate the personalized medicine about its indications and benefits, actual clinical applications and future perspectives as well as its issues and health care implications. It was made a careful review of the scientific literature on this field that highlighted the applicability and usefulness of this new medical approach as well as the fact that personalized medicine strategy is even more increasing in numerous fields of applications

    Agents in Bioinformatics

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    The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire collaboration between the agent and bioinformatics communities with the aim of creating an opportunity to propose a different (agent-based) approach to the development of computational frameworks both for data analysis in bioinformatics and for system modelling in computational biology. During the day, the participants examined the future of research on agents in bioinformatics primarily through 12 invited talks selected to cover the most relevant topics. From the discussions, it became clear that there are many perspectives to the field, ranging from bio-conceptual languages for agent-based simulation, to the definition of bio-ontology-based declarative languages for use by information agents, and to the use of Grid agents, each of which requires further exploration. The interactions between participants encouraged the development of applications that describe a way of creating agent-based simulation models of biological systems, starting from an hypothesis and inferring new knowledge (or relations) by mining and analysing the huge amount of public biological data. In this report we summarise and reflect on the presentations and discussions

    Biology of aquaculture animals - learning from nature to manage culture

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    Understanding of aquatic ecosystems and the fundamental aspects of the biology of aquatic animals is vitally important in managing aquaculture on a sustainable basis. The paradigm shift that is taking place in twenty-first century aquaculture is borne out of the compulsion of integrating environmental perspectives and biological attributes of target species in farming systems. There is an overwhelming amount of data highlighting the practical ways that several aspects of research on ecology can be applied to improve aquaculture production. Basic information on the biology of fish or shellfish has helped in designing rearing conditions and with more comprehensive information it is possible to optimize growth of captive animals and efficiency of production per unit area without adverse environmental implications. Aquaculture faces many challenges and at every stage a thorough understanding of the processes that regulate the biological systems of the cultured animals is required for an informed interpretation and for improving rearing methods. Since species selected for aquaculture and their farming systems are diverse, our knowledge should also be comprehensive enough to address the issues that arise in the planning and operation stages of aquaculture
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