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    A QM-AI Approach for the Acceleration of Accurate Assessments of Halogen‑π Interactions by Training Neural Networks by Marc U. Engelhardt (16642483)

    Published 2025
    “…Nearly 1.4 million MP2/TZVPP single-point calculations on halobenzene–benzene complexes were carried out to generate exhaustive training data, which were represented by simple geometric descriptors as input features for machine learning. …”
  19. 19

    Image 7_Transcriptomic profiling of diabetic retinopathy: insights into RPL11 and bisphenol A.jpeg by Jian Zhang (1682)

    Published 2025
    “…To validate the core gene, we conducted Gene Set Enrichment Analysis (GSEA, fgsea R package, version 1.35.8), immune cell infiltration profiling (CIBERSORT algorithm, version 1.03), molecular docking (AutoDock Vina, version 1.2.0), and molecular dynamics simulations (GROMACS, version 2022.4).…”
  20. 20

    Image 5_Transcriptomic profiling of diabetic retinopathy: insights into RPL11 and bisphenol A.jpeg by Jian Zhang (1682)

    Published 2025
    “…To validate the core gene, we conducted Gene Set Enrichment Analysis (GSEA, fgsea R package, version 1.35.8), immune cell infiltration profiling (CIBERSORT algorithm, version 1.03), molecular docking (AutoDock Vina, version 1.2.0), and molecular dynamics simulations (GROMACS, version 2022.4).…”