Systems Biology Helps to Discover Causes of Disease
Author:
Publisher
Springer Berlin Heidelberg
Link
https://link.springer.com/content/pdf/10.1007/978-3-662-65036-3_5
Reference20 articles.
1. Audretsch C, Lopez D, Srivastava M et al (2013) A semi-quantitative model of quorum-sensing in staphylococcus aureus, approved by microarray meta-analyses and tested by mutation studies. Mol BioSyst 9(11):2665–2680. https://doi.org/10.1039/c3mb70117d (PubMed PMID: 23959234)
2. Brietz A, Schuch KV, Wangorsch G et al (2016) Analyzing ERK 1/2 signalling and targets. Mol BioSyst 12(8):2436–2446. https://doi.org/10.1039/c6mb00255b
3. Czakai K, Dittrich M, Kaltdorf M et al (2016) Influence of platelet-rich plasma on the immune response of human monocyte-derived dendritic cells and macrophages stimulated with aspergillus fumigatus. Int J Med Microbiol pii:1438–4221(16)30199-0. https://doi.org/10.1016/j.ijmm.2016.11.010 ([Epub ahead of print] PubMed PMID: 27965080)
4. Di Cara A, Garg A, De Micheli G et al (2007) Dynamic simulation of regulatory networks using SQUAD. BMC Bioinformatics 8:462. https://doi.org/10.1186/1471-2105-8-462 (*Nice original paper about SQUAD with good examples to practice)
5. Göttlich C, Müller LC, Kunz M et al (2016) A combined 3D tissue engineered in vitro/in silico lung tumor model for predicting drug effectiveness in specific mutational backgrounds. J Vis Exp 110:e53885. https://doi.org/10.3791/53885 (*Cancer is modeled here both in vitro and in silico, the two complementing each other)
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