Simple Summary Biology currently runs on two modeling traditions. Mechanistic models write down the processes a biologist believes are at work, so their variables and parameters carry meaning, but they are slow to build and hard to fit to the volume of data that modern experiments produce. Deep learning finds patterns...
Le-Tong Huang, Hong-Qin Sun, Yi Huang et al.· Biology· 0 citations
Oral diseases represent a major global health burden, and non-coding RNAs (ncRNAs) have emerged as pivotal regulators in their pathogenesis, offering new avenues for diagnosis and therapy. This review synthesizes current knowledge on ncRNAs—including miRNAs, lncRNAs, and circRNAs—across a spectrum of oral conditions, e...
Le-Tong Huang, Hai-Long Zhang, Yi Huang et al.· International Journal of Mol...· 0 citations
This review systematically elucidates the structural characteristics, classification, and diverse reactions catalyzed by ThDP-dependent enzymes, with a primary focus on their potential for stereoselective C-C bond formation and cleavage.
Jin-Xi Huang, Le-Tong Huang, Xuemei Wang et al.· Organic and biomolecular che...· 0 citations
Together, these advances establish SV-centered genomics as a critical framework for understanding plant genome evolution and accelerating precision crop improvement.
Ru-Yi Liu, Le-Tong Huang, Jing-Ru Mu et al.· Plants· 0 citations
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