
Proteins, essential macromolecules for biological processes like metabolism and immune response, follow the sequence-structure-function paradigm, where amino acid sequences determine 3D structures and functions. Computational protein science AIms to decode this relationship and design proteins with desired properties. Traditional AI models have achieved significant success in specific protein modeling tasks, such as structure prediction and […]
The post Advancing Protein Science with Large Language Models: From Sequence Understanding to Drug Discovery appeared first on MarkTechPost.
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