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Found 4 papers, 1 papers with code
Deciphering antibody affinity maturation with language models and weakly supervised learning
Understanding the composition of an individual's immune repertoire can provide insights into this process and reveal potential therapeutic antibodies.
Improved antibody structure prediction by deep learning of side chain conformations
When compared to alternative rotamer repacking methods, which require an input backbone structure, DeepSCAb predicts side chain conformations competitively.
Advances to tackle backbone flexibility in protein docking
Computational docking methods can provide structural models of protein-protein complexes, but protein backbone flexibility upon association often thwarts accurate predictions.
Biomolecules
Deep Learning in Protein Structural Modeling and Design
Deep learning is catalyzing a scientific revolution fueled by big data, accessible toolkits, and powerful computational resources, impacting many fields including protein structural modeling.
