Predicting transmembrane protein topology from 3D structure using a graph neural network (SchNet) with atom-level embeddings
Read the original at arxiv.org→arXiv:2609.30446v1 Announce Type: new Abstract: This paper presents a novel approach to infer protein topology using the state-of-the-art graph neural network (GNN), SchNet. The model is trained on the same dataset...
Original headline: "Predicting Transmembrane Protein Topology from 3D Structure"
Coverage timeline
- Sep 28, 04:00 UTC arXiv cs.AI lead source Predicting Transmembrane Protein Topology from 3D Structure