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Maikel P. Peppelenbosch

Researcher at Erasmus University Rotterdam

Publications -  610
Citations -  25498

Maikel P. Peppelenbosch is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Signal transduction & Cancer. The author has an hindex of 74, co-authored 565 publications receiving 21791 citations. Previous affiliations of Maikel P. Peppelenbosch include University of Amsterdam & University Medical Center Groningen.

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Immunosuppressants exert differential effects on pan‐coronavirus infection and distinct combinatory antiviral activity with molnupiravir and nirmatrelvir

TL;DR: In this paper , the effects of immunosuppressants and the combination with oral antiviral drugs molnupiravir and nirmatrelvir on pan-coronavirus infection in cell and human airway organoids (hAOs) culture models were investigated.
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Kinome profiling of cholangiocarcinoma organoids reveals potential druggable targets that hold promise for treatment stratification

TL;DR: In this article , a commercial kinome profiling platform was used to predict druggable targets for cholangiocarcinoma using the PamChip® phosphotyrosine kinase microarray platform.
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Linkage between genotype and immunological phenotype in Crohn’s disease

TL;DR: It is argued that a three-phased view on the pathogenesis of CD may be an oversimplification in that it ignores the genetic diversity of CD and thus does not fully take into account the nature of the intestinal epithelium, which appears a non-passive actor in this disease.
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Tracing genetic signatures of bat-to-human coronaviruses and early transmission of North American SARS-CoV-2.

TL;DR: This article identified an identical ribosomal frameshift motif among the three bat-human pairs of viruses and strong purifying selection after jumping from bats to humans and reconstructed an early transmission history of North American SARS-CoV-2.
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Empirical Evaluation of the Use of Computational HLA Binding as an Early Filter to the Mass Spectrometry-Based Epitope Discovery Workflow.

TL;DR: In this article, the effect of varying false discovery rates (FDRs) on the resulting immunopeptidomes of HLA-eluates from human cancer cell lines and primary hepatocyte isolates using HLA binding algorithms was evaluated.