Systems biology
Systems biology is an interdisciplinary field that focuses on complex interactions within biological systems, using a holistic approach (holism instead of the more traditional reductionism) to biological and biomedical research.[1]
History[edit | edit source]
The term "systems biology" was first used in the 1960s and 1970s, but the concept has evolved significantly over time. The field has grown with the advent of high-throughput techniques and the increasing use of computational models.
Overview[edit | edit source]
Systems biology involves the use of computer modeling and mathematical modeling to understand and predict the behavior of complex systems. It is closely related to bioinformatics, which is an integration of mathematics, statistics and computer science.
Techniques[edit | edit source]
Systems biology techniques are numerous and constantly evolving. They include genomics, proteomics, transcriptomics, metabolomics and bioinformatics. These techniques are used to gather large amounts of data, which are then integrated and analyzed using computational models.
Applications[edit | edit source]
Systems biology has many applications in various fields, including medicine, drug discovery, biotechnology, agriculture and environmental science. In medicine, for example, systems biology is used to understand complex diseases like cancer and diabetes.
See also[edit | edit source]
References[edit | edit source]
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Contributors: Prab R. Tumpati, MD
