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Systems biology is the computational and mathematical modeling of complex biological systems. An emerging engineering approach applied to biomedical and biological scientific research. Systems biology is a biology-based inter-disciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach (holism instead of the more traditional reductionism) to biological and biomedical research. Particularly from year 2000 onwards, the concept has been used widely in the biosciences in a variety of contexts. For example, the Human Genome Project is an example of applied systems thinking in biology which has led to new, collaborative ways of working on problems in the biological field of genetics. One of the outreaching aims of systems biology is to model and discover emergent, properties of cells, tissues and organisms functioning as a system whose theoretical description is only possible using techniques which fall under the remit of systems biology. These typically involve metabolic networks or cell signaling networks. Systems biology of cancer is an important application of systems biology approach, which can be distinguished by the specific object of study (tumor genesis and treatment of cancer). It works with the specific data (patient samples, high-throughput data with particular attention to characterizing cancer genome in patient tumor samples) and tools (immortalized cancer cell lines, mouse models of tumor genesis, xenograft models, Next Generation Sequencing methods, siRNA-based gene knocking down screenings, computational modeling of the consequences of somatic mutations and genome instability). The long-term objective of the systems biology of cancer is ability to better diagnose cancer, classify it and better predict the outcome of a suggested treatment, which is a basis for personalized cancer medicine and virtual cancer patient in more distant prospective. Significant efforts in Computational systems Biology of Cancer have been made in creating realistic multi-scale in silico models of various tumors. The investigations are frequently combined with large-scale perturbation methods, including gene-based (RNAi, mis-expression of wild type and mutant genes) and chemical approaches using small molecule libraries. Robots and automated sensors enable such large-scale experimentation and data acquisition. These technologies are still emerging and many face problems that the larger the quantity of data produced, the lower the quality. A wide variety of quantitative scientists (computational biologists, statisticians, mathematicians, computer scientists, engineers, and physicists) are working to improve the quality of these approaches and to create, refine, and retest the models to accurately reflect observations. The systems biology approach often involves the development of mechanistic models, such as the reconstruction of dynamic systems from the quantitative properties of their elementary building blocks. For instance, a cellular network can be modeled mathematically using methods coming from chemical kinetics and control theory. Due to the large number of parameters, variables and constraints in cellular networks, numerical and computational techniques are often used (e.g., flux balance analysis).
System Biology conference focus on current systems biology research, which includes the field such as quantitative cell and developmental biology, functional genomics and gene regulation, systems genetics and medicine, theoretical and biophysical modeling, and quantitative single-cell approaches. As a whole, the program reflects the current state-of-the-art in the now maturing field of systems biology research, highlighting quantitative approaches at multiple scales, from single molecules and cells to whole tissues and organisms.
National symposium and workshops focus on current systems biology research, which includes the field such as quantitative cell and developmental biology, functional genomics and gene regulation, systems genetics and medicine, theoretical and biophysical modeling, and quantitative single-cell approaches. The Conference provides an open forum for presenting the latest results in the field of system biology. Around 30 National symposiums and Workshops are going to be held across the globe which includes ‘EMBO Conference Series — Experimental approaches to evolution and ecology using yeast’, ‘MBI Emphasis Year on Cancer and its Environment 2014-2015’, ‘MBI Workshop 2: Metastasis and Angiogenesis’, ‘NETTAB 2014 — From high-throughput structural bioinformatics to integrative systems biology’, ‘Synthetic Biology Congress — Synthetic Biology Congress’, ‘2nd QPCR and Digital PCR Congress — The 2nd qPCR and Digital PCR Congress’, ‘2nd International SystemsX.ch Conference on Systems Biology’, ‘EMBO Practical Course — Analysis of high-throughput sequencing data’, ‘EMBO Practical Course — High-throughput microscopy for systems biology’, ‘International Conference in Modeling Health Advances 2014’, ‘BBH14 — The 2nd International Workshop on Big Data in Bioinformatics and Healthcare Informatics’.
The International Society for Systems Biology (ISSB) is a newly-formed society aimed at advancing world-wide systems biology research by providing a forum for scientific discussions and various academic services. The annual International Conference on Systems Biology (ICSB) serves as the main meeting for the society; in addition, ISSB will serve to organize and endorse a series of symposiums, workshops, and educational programs; and finally, it will soon be allied with an official society journal. The ISSB helps coordinate researchers to form alliances for meeting the unique needs of multidisciplinary and international systems biology research.
ConferenceSeries International is an amalgamation of Open Access publications and worldwide international science conferences and events. Established in the year 2007 with the sole aim of making the information on Sciences and technology ‘Open Access’, ConferenceSeries publishes 400 online open access scholarly journals in all aspects of Science, Engineering, Management and Technology journals.
Relevant societies & associations
1. International Society for Computational Biology
2. International Society for System Biology
3. Group of Kinetic Modeling of Complex Biochemical Systems
4. Evolutionary Systems Biology Group
5. Germanwide competence network for Systems Biology of liver cells
6. Computational Systems Biochemistry group
7. European Network of Excellence "ENFIN" - Integrative Systems Biology
1. Focal Therapeutics
2. Eli Lilly
3. Sall Research
4. Life Stem Genetics
5. Providence Clinical Research
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This page was last updated on September 30, 2020