The representation learning models constructed in this research is used to describe the five biological features of proteins. These vectors together constitute the protein deep profile matrix.
(a) sequences for MMP-targeting set, (b) extracted features for MMP-targeting set, (c) sequences for PDB-reference set, (d) extracted features for PDB-reference set, (e) distribution of features, (f)
This is a database for feature representation of ESM2, which includes Swiss data, Swiss normalized data, original TrEMBL data, original TrEMBL normalized data, non-homology TrEMBL data and Table S10.N