EC Number | Crystallization (Comment) | Organism |
---|---|---|
4.2.1.10 | study on the crystallographic structures of DHQD in complex with competitive inhibitors, and application of supervised machine learning techniques elaborate a robust DHQD-targeted model to predict binding affinity. The prevalence of intermolecular electrostatic interactions between DHQD and competitive inhibitors is of great importance for the binding affinity against the enzyme | Mycobacterium tuberculosis |
EC Number | Organism | UniProt | Comment | Textmining |
---|---|---|---|---|
4.2.1.10 | Mycobacterium tuberculosis | P9WPX7 | - |
- |
4.2.1.10 | Mycobacterium tuberculosis H37Rv | P9WPX7 | - |
- |