Author

M. Badaoui

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 Biochemistry· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Approach:deep learning· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Approach:experimental assay· 1

Frequent Co-Authors

E. Rosta· 3 shared P. J. Buigues· 3 shared D. Berta· 2 shared A. Pisliakov· 1 shared B. Wehrle-Haller· 1 shared C. J. Dickson· 1 shared C. Molteni· 1 shared E. Frezza· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersBiophysics

E. Rosta

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Akt Drives TGF-beta-induced Over-secretion of DKK1 and Impairment of Cystic Fibrosis Airway Epithelium Polarity

T. Idris, M. Bachmann, M. Bacchetta, B. Wehrle-Haller, M. Chanson, M. Badaoui

This study shows that Akt signaling drives TGF-beta-induced over-secretion of DKK1 and impairs apicobasal polarity in CF airway epithelium, with therapeutic targeting of these pathways restoring polarization.

bioRxiv · May 22, 2023 · PreprintCell Biology

Investigating the Unbinding of Muscarinic Antagonists from the Muscarinic 3 Receptor.

P. J. Buigues, S. Gehrke, M. Badaoui, G. Mandana, T. Qi, G. Bottegoni, E. Rosta

This paper investigates the unbinding mechanism of muscarinic antagonists from hMR3, identifying structural bottlenecks and key residues involved in the process.

bioRxiv · Jan 3, 2023Biophysics

Combined free energy calculation and machine learning methods for understanding ligand unbinding kinetics

M. Badaoui, P. J. Buigues, D. Berta, G. M. Mandana, H. Gu, T. Földes, C. J. Dickson, V. Hornak, M. Kato, C. Molteni, S. D. Parsons, E. Rosta

This paper develops a computational method combining free energy calculations and machine learning to predict ligand unbinding kinetics and identify key interactions for drug design.

bioRxiv · Sep 8, 2021Biophysics

Modelling the active SARS-CoV-2 helicase complex as a basis for structure-based inhibitor design

D. Berta, M. Badaoui, P. J. Buigues, S. A. Martino, A. Pisliakov, N. Elghobashi-Meinhardt, G. Wells, S. A. Harris, E. Frezza, E. Rosta

This study models the active SARS-CoV-2 helicase complex to provide structural insights for inhibitor design.

bioRxiv · Nov 3, 2020Biochemistry