BioJazz: in silico evolution of cellular networks with unbounded complexity using rule-based modeling

scientific article published on 22 June 2015

BioJazz: in silico evolution of cellular networks with unbounded complexity using rule-based modeling is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1093/NAR/GKV595
P932PMC publication ID4627059
P698PubMed publication ID26101250
P5875ResearchGate publication ID279308807

P50authorOrkun S SoyerQ56207718
Peter S SwainQ37393720
P2093author name stringJulien F Ollivier
Song Feng
P2860cites workScalable rule-based modelling of allosteric proteins and biochemical networksQ21145330
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P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue19
P407language of work or nameEnglishQ1860
P921main subjectin silicoQ192572
P304page(s)e123
P577publication date2015-06-22
P1433published inNucleic Acids ResearchQ135122
P1476titleBioJazz: in silico evolution of cellular networks with unbounded complexity using rule-based modeling
P478volume43

Reverse relations

cites work (P2860)
Q36132028Analysis of Network Topologies Underlying Ethylene Growth Response Kinetics
Q41668495Core signalling motif displaying multistability through multi-state enzymes
Q47120082Designing synthetic networks in silico: a generalised evolutionary algorithm approach
Q28551936Enzyme Sequestration as a Tuning Point in Controlling Response Dynamics of Signalling Networks
Q36174760Networking Omic Data to Envisage Systems Biological Regulation
Q55430039φ-evo: A program to evolve phenotypic models of biological networks.

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