Structural characteristics and evolutionary trajectories of knowledge recombination in the field of AI-driven drug discovery.

Xiao J, Li T, Luan Y, Chen X

DOI: 10.1038/s41598-026-50574-3
Published: 2026 Apr 27
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-50574-3,
  title = {Structural characteristics and evolutionary trajectories of knowledge recombination in the field of AI-driven drug discovery.},
  author = {Xiao J and Li T and Luan Y and Chen X},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-50574-3},
  url = {https://doi.org/10.1038/s41598-026-50574-3}
}

RIS

TY  - JOUR
TI  - Structural characteristics and evolutionary trajectories of knowledge recombination in the field of AI-driven drug discovery.
AU  - Xiao J
AU  - Li T
AU  - Luan Y
AU  - Chen X
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-50574-3
UR  - https://doi.org/10.1038/s41598-026-50574-3
ER  -

APA

J, X., T, L., Y, L., & X, C. (2026). Structural characteristics and evolutionary trajectories of knowledge recombination in the field of AI-driven drug discovery.. Scientific reports. https://doi.org/10.1038/s41598-026-50574-3

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pubmed · retrieved 2026-09-26T04:49:45.594Z