Attila Csikász-Nagy

Affiliations: 
Pázmány Péter Catholic University / King's College London 
Area:
systems biology
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"Attila Csikász-Nagy"
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Publications

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Chakravarty S, Hong CI, Csikász-Nagy A. (2023) Systematic analysis of negative and positive feedback loops for robustness and temperature compensation in circadian rhythms. Npj Systems Biology and Applications. 9: 5
Howell RSM, Klemm C, Thorpe PH, et al. (2020) Unifying the mechanism of mitotic exit control in a spatiotemporal logical model. Plos Biology. 18: e3000917
Melnik A, Cappelletti V, Vaggi F, et al. (2020) Comparative analysis of the intracellular responses to disease-related aggregation-prone proteins. Journal of Proteomics. 103862
Jenkins K, Mateeva T, Szabó I, et al. (2020) Combining data integration and molecular dynamics for target identification in α-Synuclein-aggregating neurodegenerative diseases: Structural insights on Synaptojanin-1 (Synj1). Computational and Structural Biotechnology Journal. 18: 1032-1042
Moreno DF, Jenkins K, Morlot S, et al. (2019) Proteostasis collapse, a hallmark of aging, hinders the chaperone-Start network and arrests cells in G1. Elife. 8
Howell RSM, Csikász-Nagy A, Thorpe PH. (2019) Synthetic Physical Interactions with the Yeast Centrosome. G3 (Bethesda, Md.). 9: 2183-2194
Moreno DF, Parisi E, Yahya G, et al. (2019) Competition in the chaperone-client network subordinates cell-cycle entry to growth and stress. Life Science Alliance. 2
Moreno DF, Jenkins K, Morlot S, et al. (2019) Author response: Proteostasis collapse, a hallmark of aging, hinders the chaperone-Start network and arrests cells in G1 Elife
Dalchau N, Szép G, Hernansaiz-Ballesteros R, et al. (2018) Computing with biological switches and clocks. Natural Computing. 17: 761-779
Hernansaiz-Ballesteros R, Jenkins K, Csikász-Nagy A. (2018) Computational Models of Cell Cycle Transitions. Methods in Molecular Biology (Clifton, N.J.). 1819: 297-316
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