Seq2DomML: Protein domain boundary prediction from bacterial protein sequences using a machine learning framework
The identification of protein domain boundaries is important for designing stable single-domain constructs for protein structural solution. For proteins without experimentally determined structures, boundary selection often relies on conserved domain annotations, predicted structures, or iterative truncation scre...