To overcome that limitation, MIT researchers have developed a computational technique that allows large language models to predict antibody structures more accurately. Their work could enable ...
Significant research progress has been made in the field of protein structure and fitness prediction. Particularly, single-sequence-based structure prediction methods like ESMFold and OmegaFold ...
As deep learning methods for regulatory genomics have progressed, the field has debated whether to use ‘lightweight’ specialized models versus ‘heavy-duty’ (high-parameter) general models; ...
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