• FEAPS 2025

A better AI approach for protein function prediction

November 16, 2022 - 3 min read

Shiru presents how an ensemble of machine learning methods results in a new state-of-the-art in predicting protein localization and function.

  • Shiru AI researchers present a new state-of-the-art method of predicting protein localization at NeurIPS, the leading conference of the AI research community.
  • The simple and effective method combines Language Models (LM) and Graph Neural Networks (GNN) to predict protein subcellular localization — with broader implications for function prediction.
  • Shiru is…
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