Protein engineering with lightweight graph denoising neural networks
Protein engineering faces challenges in finding optimal mutants from a massive pool of
candidate mutants. In this study, we introduce a deep-learning-based data-efficient fitness …
candidate mutants. In this study, we introduce a deep-learning-based data-efficient fitness …
ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
Protein language models have exhibited remarkable representational capabilities in various
downstream tasks, notably in the prediction of protein functions. Despite their success, these …
downstream tasks, notably in the prediction of protein functions. Despite their success, these …