Author

J. Carlsson

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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Biophysics· 3 Zoology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Approach:deep learning· 3 Assay:structural biology· 3 Research Focus:protein folding & dynamics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

L. Delemotte· 2 shared O. Fleetwood· 2 shared P. Matricon· 2 shared A. Egan· 1 shared A. Folkvord· 1 shared A. Garbett· 1 shared A. Gonzalez· 1 shared A. Morales-Pastor· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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2 shared papersBiophysics

L. Delemotte

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Rise of the Cybercrabs: how digital cloning in an integrated taxonomic framework can support deep-sea exploration

E. G. REYNAUD, P. Collins, L. Gutierrez-Heredia, J. Carlsson, A. Garbett, E. Horn

The paper presents a digital taxonomy approach for deep-sea crabs using 3D specimens and molecular barcoding to enhance taxonomic understanding and sharing.

bioRxiv · Mar 16, 2023 · PreprintZoology

A baseline for the genetic stock identification of Atlantic herring, Clupea harengus, in ICES Divisions 6.a, 7.b-c

E. D. Farrell, L. Andersson, D. Bekkevold, N. Campbell, J. Carlsson, M. W. Clarke, A. Egan, A. Folkvord, M. Gras, S. Maersk Lusseau, S. Mackinson, C. Nolan, S. O'Connell, M. O'Malley, M. Pastoors, , E. White

The paper develops a genetic assignment method using SNPs to identify Atlantic herring populations in ICES Divisions 6.a, 7.b-c with high accuracy.

bioRxiv · Apr 7, 2022Zoology

Identification of ligand-specific G-protein coupled receptor states and prediction of downstream efficacy via data-driven modeling

O. Fleetwood, J. Carlsson, L. Delemotte

This study uses molecular dynamics simulations to model GPCR states and predict downstream efficacy based on ligand interactions.

eLife · Jan 28, 2021Peer-reviewedBiophysics

GPCRmd uncovers the dynamics of the 3D-GPCRome

I. Rodriguez-Espigares, M. Torrens-Fontanals, J. K. S. Tiemann, D. Aranda-Garcia, J. M. Ramirez-Anguita, T. M. Stepniewski, N. Worp, A. Varela-Rial, A. Morales-Pastor, B. Medel Lacruz, G. Pandy-Szekeres, E. Mayol, T. Giorgino, J. Carlsson, X. Deupi, , Wein

GPCRmd provides an online platform for visualizing and analyzing GPCR molecular dynamics simulations, demonstrating its utility through analyses of internal water networks and sodium ion interactions.

Nature Methods · Jul 13, 2020Peer-reviewedBiophysics

Energy landscapes reveal agonist control of GPCR activation via microswitches

O. Fleetwood, P. Matricon, J. Carlsson, L. Delemotte

The paper uses molecular dynamics simulations to show how agonist binding to GPCRs controls activation through microswitches that couple extracellular and intracellular conformational changes.

bioRxiv · Nov 17, 2019Biophysics