Systems Toxicology is aimed at decoding the toxicological blueprint of active substances that interact with living systems. It resides at the intersection of Systems Biology with Toxicology. It integrates classic toxicology approaches with network models and quantitative measurements of molecular and functional changes occurring across multiple levels of biological organization. The multidisciplinary Systems Toxicology approach combines principles of biology, chemistry, computer science, engineering, mathematics, and physics with high content experimental data obtained at molecular, cellular, organ, organism and population levels to characterize and evaluate interactions between potential hazards and the components of a biological system. It is aimed at developing a detailed mechanistic as well as quantitative and dynamic understanding of toxicological processes, permitting prediction and accurate simulation of complex (emergent) adverse outcomes. Thereby, the approach provides a basis for translation between model systems (in vivo and in vitro) and study systems (e.g. human, ecosystem). Systems Toxicology, therefore, has an ultimate potential for extrapolating from early and highly sensitive quantifiable molecular and cellular events to medium and long term outcomes at the organism level. Its application could be part of a new paradigm for risk assessment
Systems toxicology is an interdisciplinary sub-discipline of Systems biology and Toxicoloy.
Systems biology (Systeomics) is an emerging 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 more holistic perspective ( holism instead of the more traditional reductionism) approach to biological and biomedical research. Particularly from year 2000 onwards, the concept has been used widely in the biosciences in a variety of contexts. One of the outreaching aims of systems biology is to model and discover emergent properties, 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. [1] Systems biology makes heavy use of mathematical and computational models and sometimes inspires new mathematical theories[ citation needed].
Systems toxicology can be considered from a number of different aspects:
Systems biology finds its roots in:[ citation needed]
Other aspects of computer science, informatics, statistics are also used in systems biology. These include:
{{Reflist|2|refs =
[3] Zeng BJ. , On the concept of systems biological engineering, Nov. 1994, Communication on Transgenic Animals, CAS, China. [4]
{{
cite journal}}
: Cite journal requires |journal=
(
help){{
cite journal}}
: |chapter=
ignored (
help); Cite journal requires |journal=
(
help)
Systems Toxicology is aimed at decoding the toxicological blueprint of active substances that interact with living systems. It resides at the intersection of Systems Biology with Toxicology. It integrates classic toxicology approaches with network models and quantitative measurements of molecular and functional changes occurring across multiple levels of biological organization. The multidisciplinary Systems Toxicology approach combines principles of biology, chemistry, computer science, engineering, mathematics, and physics with high content experimental data obtained at molecular, cellular, organ, organism and population levels to characterize and evaluate interactions between potential hazards and the components of a biological system. It is aimed at developing a detailed mechanistic as well as quantitative and dynamic understanding of toxicological processes, permitting prediction and accurate simulation of complex (emergent) adverse outcomes. Thereby, the approach provides a basis for translation between model systems (in vivo and in vitro) and study systems (e.g. human, ecosystem). Systems Toxicology, therefore, has an ultimate potential for extrapolating from early and highly sensitive quantifiable molecular and cellular events to medium and long term outcomes at the organism level. Its application could be part of a new paradigm for risk assessment
Systems toxicology is an interdisciplinary sub-discipline of Systems biology and Toxicoloy.
Systems biology (Systeomics) is an emerging 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 more holistic perspective ( holism instead of the more traditional reductionism) approach to biological and biomedical research. Particularly from year 2000 onwards, the concept has been used widely in the biosciences in a variety of contexts. One of the outreaching aims of systems biology is to model and discover emergent properties, 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. [1] Systems biology makes heavy use of mathematical and computational models and sometimes inspires new mathematical theories[ citation needed].
Systems toxicology can be considered from a number of different aspects:
Systems biology finds its roots in:[ citation needed]
Other aspects of computer science, informatics, statistics are also used in systems biology. These include:
{{Reflist|2|refs =
[3] Zeng BJ. , On the concept of systems biological engineering, Nov. 1994, Communication on Transgenic Animals, CAS, China. [4]
{{
cite journal}}
: Cite journal requires |journal=
(
help){{
cite journal}}
: |chapter=
ignored (
help); Cite journal requires |journal=
(
help)