Author

Salim El Mejjad

Université Mohammed VI PolytechniqueORCID 0009-0003-0022-1997Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:cell type annotation· 1 Organism:human· 1 Research Focus:perturbation response prediction· 1 Assay:protein sequence· 1 Assay:scRNA-seq· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Anas BedraouiiD· 2 shared Fatima Zahra El Hajji· 2 shared Rachid El FatimyiD· 2 shared Salwa Enezari· 2 shared Tariq DaoudaiD· 2 shared Jacob Anthony GalaniD· 1 shared Matan Hofree· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Anas BedraouiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 6, 2026

scDisentangle: sequential disentanglement for single-cell perturbation response prediction

Salim El Mejjad, Salwa Enezari, Anas Bedraoui…·Tariq Daouda

scDisentangle predicts single-cell transcriptional responses to perturbations by decomposing expression into residual components, outperforming existing methods in cytokine stimulation, infection, and genetic perturbations.

DOI 10.64898/2026.11.04.764292

humanscRNA-seq

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BioinformaticsbioRxivPreprintMar 10, 2026

Neurotox: Deep learning decodes conserved hallmarks of neurotoxicity across venomous species

Anas Bedraoui, Salim El Mejjad, Salwa Enezari…·Tariq Daouda

Neurotox identifies sequence-based neurotoxicity hallmarks across species using deep learning, showing structural changes correlate with loss of predicted neurotoxicity.

DOI 10.64898/2026.03.07.710323

protein sequencedeep learning

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