Linked Life Data

21707921

Source:http://linkedlifedata.com/resource/pubmed/id/21707921

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
16
pubmed:dateCreated
2011-7-28
pubmed:abstractText
Systems biology has received an ever increasing interest during the last decade. A large amount of third-party funding is spent on this topic, which involves quantitative experimentation integrated with computational modeling. Industrial companies are also starting to use this approach more and more often, especially in pharmaceutical research and biotechnology. This leads to the question of whether such interest is wisely invested and whether there are success stories to be told for basic science and/or technology/biomedicine. In this review, we focus on the application of systems biology approaches that have been employed to shed light on both biochemical functions and previously unknown mechanisms. We point out which computational and experimental methods are employed most frequently and which trends in systems biology research can be observed. Finally, we discuss some problems that we have encountered in publications in the field.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1742-4658
pubmed:author
pubmed:copyrightInfo
© 2011 The Authors Journal compilation © 2011 FEBS.
pubmed:issnType
Electronic
pubmed:volume
278
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2767-857
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Applications and trends in systems biology in biochemistry.
pubmed:affiliation
Department of Modeling of Biological Processes, COS Heidelberg/BioQuant, University of Heidelberg, Germany.
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't