Protein language model rescue mutations highlight variant effects and structure in clinically relevant genes

1 code implementation • 18 Nov 2022 • Onuralp Soylemez, Pablo Cordero

Despite being self-supervised, protein language models have shown remarkable performance in fundamental biological tasks such as predicting impact of genetic variation on protein structure and function.

Protein Language Model

Bayesian tensor factorization for predicting clinical outcomes using integrated human genetics evidence

1 code implementation • 25 Jul 2022 • Onuralp Soylemez

Increasingly available high dimensional information on targets, drug molecules and indications provides an opportunity for ML methods to integrate multiple data modalities and better predict clinically promising drug targets.