In silico prediction of novel effective combinational treatment of chronic pain in individual patients: a joint white paper of the H2020 QSPainRelief consortium

Author(s):: Mouraux, A.; Gousset, S.; Alvarez, B.; Baiula, M.; Bakker, W.; Bedini, A.; Bertayli, M.; Budda, D.; Carr, R.; Cuna, E.; Díaz, Ó.; Donner, N.; Giraldo, J.; Groeneveld, G.; Gülave, B.; Guydan, D.; Hijma, H.; Maldonado, R.; Renault, P.; Rinaudo, C.; Elaissaiss‐Schaap, J.; Spiros, A.; Stoeber, S.; Takkala, P.; Valkengoed, D.W. van (0009-0006-7830-2553); Hasselt, C. van; Lange, E.C.M. de (0000-0001-8303-1117)

Published: 2026
Publication type: Article / Letter to editor

Date issued: 2026-06-17
Language: English
Publisher: Wiley
Is part of: British Journal of Pharmacology
Advanced publication: Yes
hdl: 1887/4307163
doi: 10.1111/bph.70522
URL: https://bpspubs.onlinelibrary.wiley.com/doi/10.1111/bph.70522

Funding

Sponsorship: Horizon 2020(H2020)
Grant number: 848068