Author

W. Jespers

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· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

A. Gonzalez· 1 shared A. Morales-Pastor· 1 shared A. P. IJzerman· 1 shared A. Sztyler· 1 shared A. Varela-Rial· 1 shared B. Ellenbroek· 1 shared B. Medel Lacruz· 1 shared C. Lin· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperBiophysics

A. Gonzalez

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Author profile →

3 papers

Recent·Most cited

Development of DuoMYC: a synthetic cell penetrant miniprotein that efficiently inhibits the oncogenic transcription factor MYC

S. Pomplun, B. Ellenbroek, J. P. Kahler, D. Arella, C. Lin, W. Jespers

This paper develops DuoMYC, a synthetic miniprotein that inhibits MYC-driven transcription by binding to E-Box DNA with high affinity and stability.

bioRxiv · Mar 4, 2024Cancer Biology

Deciphering conformational selectivity in the A2A adenosine G protein-coupled receptor by Free Energy simulations

H. Gutierrez de Teran, W. Jespers, L. H. Heitman, A. P. IJzerman, E. Sotelo, G. J. P. van Westen, J. Aqvist

This paper uses free energy simulations to study conformational selectivity in the A2A adenosine receptor, revealing how ligands and mutations affect receptor activation and pharmacological profiles.

bioRxiv · Jun 9, 2021Biophysics

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