In version 2.0, PyeMap is now capable of mining protein graphs for shared ET pathways/motifs. This is available under the
pyemap.graph_mining modules.
Changelog:
**Single Protein**
- Automatic identification of redox-active metal ions
- Support for pathway visualization in nglview widget
- New degree-based edge pruning algorithm
- User control over residue depth and RSA thresholds for determining buried/surface exposed
**Graph Mining**
- gSpan and pattern matching algorithms
- Control over substitutions and edge thresholds
- Sequence and structural based clustering of protein subgraphs
- Support for subgraph visualization in nglview widget
**General Improvements**
- Improved SMILES strings for standard amino acids and ET active moieties
- Improved visualization of residues using RDKit
- Remove wget dependency, use [requests](https://pypi.org/project/requests/) to fetch files