ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
Mingchen Li,
Pan Tan,
Xinzhu Ma
et al.
Abstract:Protein language models have exhibited remarkable representational capabilities in various downstream tasks, notably in the prediction of protein functions. Despite their success, these models traditionally grapple with a critical shortcoming: the absence of explicit protein structure information, which is pivotal for elucidating the relationship between protein sequences and their functionality. Addressing this gap, we introduce DeProt, a Transformer-based protein language model designed to incorporate protei… Show more
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