Protein Language Models (pLMs) integrated with Large Language Models (LLMs) have advanced computational protein science.
pLMs have improved protein structure prediction and can predict structures for orphan proteins without relying on multiple sequence alignments.
pLMs have been utilized in antibody design, enzyme engineering, and drug discovery, offering more controlled and cost-effective alternatives to traditional methods.
In drug discovery, pLMs help predict drug-target interactions, accelerating the screening of potential drug candidates.