Author

Nelishia Pillay

University of PretoriaORCID 0000-0003-3902-5582Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1

Frequent Co-Authors

Ashleigh van HeerdeniD· 1 shared Gemma TuróniD· 1 shared Lyn‐Marié BirkholtziD· 1 shared Miquel Duran‐FrigolaiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBiochemistry

Ashleigh van HeerdenORCID

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1 paper

Recent·Most cited

BiochemistryACS OmegaPeer-reviewedNov 7, 2023

Machine learning approaches identify chemical features for stage-specific antimalarial compounds

Ashleigh van Heerden, Gemma Turón, Miquel Duran‐Frigola…·Lyn‐Marié Birkholtz

The paper uses machine learning to identify chemical features associated with stage-specific antimalarial activity against Plasmodium falciparum asexual blood stages and gametocytes.

14 citations

plant (other)machine learning (classical)

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