Author

Vilde Leipart

University College LondonORCID 0000-0002-5740-6760Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:protein sequence· 3 Approach:transformer / foundation model· 2 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:non-human primate· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Gro Vang AmdamiD· 3 shared Christine Anne OrengoiD· 2 shared Franca FraternaliiD· 2 shared Oriol Gracia CarmonaiD· 2 shared Elisabeth Pigott· 1 shared Garrett E. Dodds· 1 shared Kate E. IhleiD· 1 shared Sharon O’Brien· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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3 shared papersBioinformatics

Gro Vang AmdamORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

AI-Enhanced Marker-Assisted Selection Concept for The Multifunctional Honey Bee (Hymenoptera: Apidea) Protein Vitellogenin (Vg)

Vilde Leipart, Gro Vang Amdam, Sharon O’Brien, Elisabeth Pigott, Garrett E. Dodds, Kate E. Ihle

The paper introduces an AI-enhanced marker-assisted selection approach for breeding honey bees with improved Vitellogenin (Vg) alleles to address colony loss challenges.

Journal of Economic Entomology · Aug 22, 2025Peer-reviewedGenetics

Assessing structure-function impacts on Vitellogenin by leveraging allelic variant occurring in honey bee subspecies Apis mellifera meliffera

Vilde Leipart, Oriol Gracia Carmona, Christine Anne Orengo, Franca Fraternali, Gro Vang Amdam

The paper identifies a 9-nucleotide deletion in honey bee Vg alleles and shows it maintains protein structure and stability using structural bioinformatics and a transformer-based model.

iScience · Jul 29, 2025Peer-reviewedBioinformatics

Leveraging protein language models and scoring function for Indel characterisation and transfer learning

Oriol Gracia Carmona, Vilde Leipart, Gro Vang Amdam, Christine Anne Orengo, Franca Fraternali

This paper introduces IndeLLM, a method for indel pathogenicity prediction using protein language models and transfer learning, achieving high performance across species.

bioRxiv · Mar 12, 2025 · PreprintBioinformatics