HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative. (arXiv:2207.13921v2 [q-bio.BM] UPDATED)

AI-based protein structure prediction pipelines, such as AlphaFold2, have
achieved near-experimental accuracy. These advanced pipelines mainly rely on
Multiple Sequence Alignments (MSAs) as inputs to learn the co-evolution
information from the homologous sequences. Nonetheless, searching MSAs from
protein databases is time-consuming, usually taking dozens of minutes.
Consequently, we attempt to explore the limits of fast protein structure
prediction by using only primary sequences of proteins. HelixFold-Single is
proposed to combine a large-scale protein language model with the superior
geometric learning …

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