Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction. (arXiv:2208.09652v1 [cs.LG])

Data-driven predictive methods which can efficiently and accurately transform
protein sequences into biologically active structures are highly valuable for
scientific research and therapeutical development. Determining accurate folding
landscape using co-evolutionary information is fundamental to the success of
modern protein structure prediction methods. As the state of the art,
AlphaFold2 has dramatically raised the accuracy without performing explicit
co-evolutionary analysis. Nevertheless, its performance still shows strong
dependence on available sequence homologs. We investigated the cause of such
dependence and presented EvoGen, …

arxiv few-shot learning landscape learning lg prediction protein protein structure protein structure prediction