Author

Alyssa C. Hill

University of OxfordORCID 0000-0002-4767-5780Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Matthew J. A. WoodiD· 2 shared Antonin MarquantiD· 1 shared Barney HilliD· 1 shared Carlo RinaldiiD· 1 shared Cristiana BarradasiD· 1 shared E. FilipiakiD· 1 shared Julia RädleriD· 1 shared Maisie R. Jaques· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Matthew J. A. WoodORCID

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2 papers

Recent·Most cited

Accurately modelling RNase H-mediated antisense oligonucleotide efficacy

Barney Hill, Maisie R. Jaques, R. Nair, Nicola Whiffin, Matthew J. A. Wood, Stephan Sanders, Peter L. Oliver, Alyssa C. Hill, Carlo Rinaldi

The paper develops ASO Atlas, a database of RNase H-mediated ASO sequences and their efficacy, and trains OligoAI, a deep learning model to predict ASO efficacy based on sequence and chemical features, reducing screening effort by 5.72-fold.

Molecular Therapy — Nucleic Acids · Jul 7, 2026Peer-reviewedBioinformatics

Click Chemistry-Based Strategy for Modular Ligand Attachment to siRNAs: Toward Extrahepatic RNAi

Julia Rädler, E. Filipiak, Antonin Marquant, Miina Ojansivu, Tomasz Czapik, Alyssa C. Hill, Nina Ahlskog, Samantha Roudi, Cristiana Barradas, Yanjie Huang, Osama Saher, Matthew Wood, Rula Zain, Małgorzata Honcharenko, Samir EL Andaloussi

This study develops a click chemistry-based strategy for siRNA conjugation to enhance extrahepatic RNAi, finding that bis-fatty-acid conjugates improve activity in heart and muscle while showing modality-specific limitations.

bioRxiv · May 22, 2026 · PreprintMolecular Biology