Author

Emilia Wysocka

University of EdinburghORCID 0000-0002-4094-8416Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

T. Ian SimpsoniD· 2 shared David C. SterrattiD· 1 shared J. Douglas ArmstrongiD· 1 shared James SnowdeniD· 1 shared Jeanette Hellgren KotaleskiiD· 1 shared Katharina F. HeiliD· 1 shared Matthew Page· 1 shared Oksana SorokinaiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 18 mutual co-author links

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2 shared papersSystems Biology

T. Ian SimpsonORCID

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2 papers

Recent·Most cited

Comparison of rule- and ordinary differential equation-based dynamic model of DARPP-32 signalling network

Emilia Wysocka, Matthew Page, James Snowden, T. Ian Simpson

This study compares rule-based and ODE models of the DARPP-32 signalling network, finding that rule-based models offer greater flexibility and detail in capturing molecular dynamics.

PeerJ · Dec 15, 2022Peer-reviewedSystems Biology

Analysis of proteins in computational models of synaptic plasticity

Katharina F. Heil, Emilia Wysocka, Oksana Sorokina, Jeanette Hellgren Kotaleski, T. Ian Simpson, J. Douglas Armstrong, David C. Sterratt

The paper maps proteins in biophysical models of synaptic plasticity, finding 4.2% of synaptic proteins are modelled and identifying gaps in disease-related proteins.

bioRxiv · Jan 28, 2018 · PreprintNeuroscience