Citation
If you use GDEE in your research, please cite the following:
Primary Citation
GDEE: Gene Discovery and Enzyme Engineering Platform
@article{souza2025gdee,
title={GDEE: A Structure-Based Platform for Gene Discovery and Enzyme Engineering},
author={Souza, Caio S and Correia, Jo{\~a}o PG and Rocha, Isabel and Lousa, Diana and Soares, Cl{\'a}udio M},
journal={bioRxiv},
pages={2025--09},
year={2025},
publisher={Cold Spring Harbor Laboratory}
}
Text Citation:
Souza, C. S. (2025). GDEE: A Structure-Based Platform for Gene Discovery and Enzyme Engineering. bioRxiv. https://doi.org/10.1101/2025.09.09.675117
Project Acknowledgment
This platform was developed under the ShikiFactory 100 project, funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement number 814408.
References
GDEE relies on several key computational tools and libraries. If you use GDEE extensively, please consider citing the following dependencies:
- MODELLER
Webb, B. and Sali, A. (2016). Comparative Protein Structure Modeling Using MODELLER. Current Protocols in Bioinformatics, 54, 5.6.1-5.6.37. doi: 10.1002/cpbi.3
- AutoDock Vina
Trott, O. and Olson, A. J. (2010). AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. Journal of Computational Chemistry, 31(2), 455-461. doi: 10.1002/jcc.21334
- MDAnalysis
Michaud-Agrawal, N., Denning, E. J., Woolf, T. B. and Beckstein, O. (2011). MDAnalysis: A Toolkit for the Analysis of Molecular Dynamics Simulations. Journal of Computational Chemistry, 32, 2319-2327. doi: 10.1002/jcc.21787
- VoroMQA
Olechnovič, K. and Venclovas, Č. (2017). VoroMQA: Assessment of protein structure quality using interatomic contact areas. Proteins: Structure, Function, and Bioinformatics, 85(6), 1131-1145. doi: 10.1002/prot.25278
- NumPy
Harris, C. R., Millman, K. J., van der Walt, S. J., et al. (2020). Array programming with NumPy. Nature, 585, 357-362. doi: 10.1038/s41586-020-2649-2
- BioPython
Cock, P. J. A., Antao, T., Chang, J. T., et al. (2009). Biopython: freely available Python tools for computational molecular biology and bioinformatics. Bioinformatics, 25(11), 1422-1423. doi: 10.1093/bioinformatics/btp163
- Open Drug Discovery Toolkit (ODDT)
Wójcikowski M, Zielenkiewicz P, Siedlecki P. Open Drug Discovery Toolkit (ODDT): a new open-source player in the drug discovery field. J Cheminform. 2015 Jun 22;7:26. doi: 10.1186/s13321-015-0078-2. PMID: 26101548; PMCID: PMC4475766.