Author

S. Dobson

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 1 Pharmacology & Toxicology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1

Frequent Co-Authors

A. Ciacci· 1 shared A. Sau· 1 shared B. Thomas· 1 shared D. J. Hickey· 1 shared D. J. Rowlands· 1 shared F. S. Ng· 1 shared H. Y. J. Chik· 1 shared J. A. Coleman· 1 shared

Activity by Year

2022-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperPhysiology

A. Ciacci

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Indirect genetic effects improve female extra-pair heritability estimates.

S. DOBSON, J. Dunning, T. Burke, H. Y. J. Chik, J. Schroeder

The paper examines how indirect genetic effects (IGEs) influence heritability estimates of extra-pair behavior in house sparrows, finding improved model fit and reduced uncertainty when IGEs are included.

bioRxiv · Dec 8, 2022 · PreprintEvolutionary Biology

Development of Enterovirus anti-viral agents that target the viral 2C protein

R. Kejriwal, T. Evans, J. Calabrese, L. Swistak, L. Alexandrescu, M. Cohen, N. Rahman, N. Henriksen, R. C. Dash, K. Hadden, N. J. Stonehouse, D. J. Rowlands, N. J. Kingston, M. Hartnoll, S. Dobson, S. White

This study develops broad-spectrum anti-viral compounds targeting the conserved EV 2C protein, showing low IC50 values and suggesting a role for 2C in capsid assembly.

bioRxiv · Oct 6, 2022Pharmacology & Toxicology

Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps

M. Falkenberg, J. A. Coleman, S. Dobson, D. J. Hickey, L. Terrill, A. Ciacci, B. Thomas, N. S. Peters, A. Sau, F. S. Ng, J. Zhao, K. Christensen

This paper introduces a computational method to identify atrial regions susceptible to micro-reentry by modeling percolation-like phenomena on spatial networks of atrial fibre maps.

PLOS ONE · Jun 23, 2022Peer-reviewedPhysiology