Area of research
Biomaterials · Aerospace Engineering
Research interest
Research topics from publications: Hierarchical Self‐Assembly of Adhesive and Conductive Gels with Anion‐Coordinated Triple Helicate Junctions; PTBGRP: predicting phage–bacteria interactions with graph representation learning on microbial heterogeneous information network. Representative work: Abstract The fabrication of anion‐coordinated assemblies into functional soft materials remains a major challenge. To this end, four C 2 ‐symmetric anion‐binding ligands equipped with ortho ‐phenylene‐bridged bis(urea) and amine or amide ends were designed, which generated A 2 L 3 triple helical architectures upon self‐assembly with phosphate ions. Hierarchical intermolecular hydrogen bonds among the terminal amine/amide groups and urea moieties resulted in the formation of functional gels. The obtained gels were further applied for conductive adhesion between different surfaces, displaying excellent flexibility and selective wettability. The viscoelastic gels constructed from anion‐coordina Identifying the potential bacteriophages (phage) candidate to treat bacterial infections plays an essential role in the research of human pathogens. Computational approaches are recognized as a valid way to predict bacteria and target phages. However, most of the current methods only utilize lower-order biological information without considering the higher-order connectivity patterns, which helps to improve the predictive accuracy. Therefore, we developed a novel microbial heterogeneous interaction network (MHIN)-based model called PTBGRP to predict new phages for bacterial hosts. Specifically, PTBGRP first constructs an MHIN by integrating phage-bacteria interaction (PBI) and six bacteria-b