Lm-gvp: an extensible sequence and structure informed deep learning framework for protein property prediction

HIGHLIGHTS

• who: Zichen Wang from the (UNIVERSITY) have published the research work: LM-GVP: an extensible sequence and structure informed deep learning framework for protein property prediction, in the Journal: Scientific Reports Scientific Reports
• what: The authors demonstrated the additive value of incorporating structural information on top of protein LMs for property prediction tasks. 2u2011stage models. the authors implement 2-stage models following Gligorijeviu0107 et_al22 to combine information from protein sequence and structure using AA embeddings from protein LM and GNNs, respectively.

SUMMARY

LM‑GVP, an end‑to‑end deep learning framework . . .

 



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