Author

F. Devred

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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Cancer Biology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. A. Bougaev· 1 shared C. Buffat· 1 shared C. Dehais· 1 shared D. Figarella-Branger· 1 shared E. Pasquier· 1 shared E. Tabouret· 1 shared F. Bielle· 1 shared H. Benazha· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCancer Biology

A. A. Bougaev

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Author profile →

2 papers

Recent·Most cited

An AI-powered blood test to detect cancer using nanoDSF

P. O. Tsvetkov, R. Eyraud, S. Ayache, A. A. Bougaev, S. Malesinski, H. Benazha, S. Gorokhova, C. Buffat, C. Dehais, M. Sanson, F. Bielle, D. Figarella-Branger, O. Chinot, E. Tabouret, F. Devred

This paper presents an AI-powered blood test using nanoDSF to detect cancer with 92% accuracy in glioma patients versus healthy controls.

bioRxiv · Aug 9, 2020Cancer Biology

In silico molecular target prediction unveils mebendazole as a potent MAPK14 inhibitor

J. Ariey-Bonnet, K. Carrasco, M. Le Grand, L. Hoffer, S. Betzi, M. Feracci, P. Tsvetkov, F. Devred, Y. Collette, X. Morelli, P. Ballester, E. Pasquier

This paper identifies mebendazole as a potent MAPK14 inhibitor through in silico target prediction and experimental validation, revealing its potential for repurposing in brain tumor treatment.

bioRxiv · May 18, 2020Pharmacology & Toxicology