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Lood Van Niekerk

2 accepted papers

2025

Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction

ICML 2025poster

Retrieving homologous protein sequences is essential for a broad range of protein modeling tasks such as fitness prediction, protein design, structure modeling, and protein-protein interactions. Traditional workflows have relied on a two-step process: first retrieving homologs via Multiple Sequence…

Cited by 0SourcePDFScholar
2023

ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design

NeurIPS 2023poster

Predicting the effects of mutations in proteins is critical to many applications, from understanding genetic disease to designing novel proteins that can address our most pressing challenges in climate, agriculture and healthcare. Despite a surge in machine learning-based protein models to tackle th…