228. Machine learning-guided co-optimization of fitness and diversity facilitates combinatorial library design in enzyme engineering


Journal article


Kerr Ding, Michael Chin, Yunlong Zhao, Wei Huang, Binh Khanh Mai, Huanan Wang, Peng Liu, Yang Yang, Yunan Luo
Nature Communications, vol. 15, 2024 Jul 29, p. 6392


Cite

Cite

APA   Click to copy
Ding, K., Chin, M., Zhao, Y., Huang, W., Mai, B. K., Wang, H., … Luo, Y. (2024). 228. Machine learning-guided co-optimization of fitness and diversity facilitates combinatorial library design in enzyme engineering. Nature Communications, 15, 6392. https://doi.org/10.1038/s41467-024-50698-y


Chicago/Turabian   Click to copy
Ding, Kerr, Michael Chin, Yunlong Zhao, Wei Huang, Binh Khanh Mai, Huanan Wang, Peng Liu, Yang Yang, and Yunan Luo. “228. Machine Learning-Guided Co-Optimization of Fitness and Diversity Facilitates Combinatorial Library Design in Enzyme Engineering.” Nature Communications 15 (July 29, 2024): 6392.


MLA   Click to copy
Ding, Kerr, et al. “228. Machine Learning-Guided Co-Optimization of Fitness and Diversity Facilitates Combinatorial Library Design in Enzyme Engineering.” Nature Communications, vol. 15, July 2024, p. 6392, doi:10.1038/s41467-024-50698-y.


BibTeX   Click to copy

@article{ding2024a,
  title = {228. Machine learning-guided co-optimization of fitness and diversity facilitates combinatorial library design in enzyme engineering},
  year = {2024},
  month = jul,
  day = {29},
  journal = {Nature Communications},
  pages = {6392},
  volume = {15},
  doi = {10.1038/s41467-024-50698-y},
  author = {Ding, Kerr and Chin, Michael and Zhao, Yunlong and Huang, Wei and Mai, Binh Khanh and Wang, Huanan and Liu, Peng and Yang, Yang and Luo, Yunan},
  month_numeric = {7}
}


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