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Showing 1–7 of 7 results
Advanced filters: Author: Yun-He Xu Clear advanced filters

  • Achieving enantioselective C(sp3)–C(sp3) bond formation using a silyl group as an auxiliary is challenging. Now a cobalt-catalysed enantioselective hydroalkylation of vinyl- and allylsilanes to construct α- or β-stereogenic organosilanes has been developed to efficiently generate the chiral carbon centres.

    • Xiao Hu
    • Chen Wang
    • Yao Fu
    Research
    Nature Synthesis
    Volume: 4, P: 1442-1452

  • While methods to create chiral carbon centers and stereochemically defined silicon centers have been developed, the ability to generate both simultaneously would be of high value. Here the authors present a copper-catalyzed, substratecontrolled regio- and enantioselective intermolecular hydrosilylation capable of accommodating a broad scope of alkenes and prochiral silanes.

    • Xiao-Yan Zhu
    • Wenyu Gao
    • Yun-He Xu
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-12

  • Albomycins are promising drug candidates for the treatment of bacterial infections. Here, the authors describe the total syntheses of albomycins δ1, δ2, and ε, and evaluate their antimicrobial activity, identifying albomycin δ2 as a strong agent against S. pneumoniae and S. aureus infections.

    • Zihua Lin
    • Xiaobo Xu
    • Yun He
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-8

  • Functionalization of 1,3-enyne represent a powerful method to construct allenyl- and propargylderivatives, but hydrosilylation reaction of 1,3-enynes remains underdeveloped. Here, the authors report a copper-catalyzed ligand-controlled selective 1,2- and 1,4- hydrosilylation of 1,3-enynes which proceeds enantioselectively with high yields.

    • Zi-Lu Wang
    • Qi Li
    • Yun-He Xu
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-12

  • Optimization of large reaction systems is crucial for chemical research and industrial production, but represents a significant challenge given the heavy experimental load required to find optimal high-yielding conditions. Here, the authors introduce an efficient machine learning tool, RS-Coreset, where they take advantage of deep representation learning techniques to guide an interactive procedure for representing the full reaction space, enabling yield prediction with small-scale data.

    • Peng-Xiang Hua
    • Zhen Huang
    • Hu Ding
    ResearchOpen Access
    Communications Chemistry
    Volume: 8, P: 1-12

  • Here, through progressive structural optimization, two “tadpole-like” antimicrobial peptides are constructed with an amphipathic α-helical head and an aromatic tail activity. These exhibit potent antimicrobial activity, no hemolytic activity and cytotoxicity, and no propensity to induce resistance.

    • Ziyi Tang
    • Wuqiao Jiang
    • Aimin Yang
    ResearchOpen Access
    Communications Biology
    Volume: 6, P: 1-14