Automatic recognition of ligands in electron density by machine learning.
Kowiel, M., Brzezinski, D., Porebski, P.J., Shabalin, I.G., Jaskolski, M., Minor, W.(2019) Bioinformatics 35: 452-461
- PubMed: 30016407 
- DOI: https://doi.org/10.1093/bioinformatics/bty626
- Primary Citation of Related Structures:  
6CHK - PubMed Abstract: 
The correct identification of ligands in crystal structures of protein complexes is the cornerstone of structure-guided drug design. However, cognitive bias can sometimes mislead investigators into modeling fictitious compounds without solid support from the electron density maps. Ligand identification can be aided by automatic methods, but existing approaches are based on time-consuming iterative fitting.
Organizational Affiliation: 
Center for Biocrystallographic Research, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.