Preparation of sensitive monoclonal antibodies against triptolide and establishment of a rapid and cost-effective icELISA method for authentication of Tripterygium wilfordii and related products

Evaluation Analysis of the Nephrotoxicity of Tripterygium wilfordii Preparations with CONSORT Harms Statement Based on Deep Learning

“…As early as the middle of the nineteenth century, scientists, having understood the internal structure of thujone, had decided to correlate the structure and properties of rhodopsin, hoping to predict the physicochemical properties of rhodopsin by the rules of the rhodopsin structure [ 5 ]. With the rapid development of theoretical and computational methods for regional descriptors, more and more statistical methods are being applied to the modelling process of compound property prediction [ 6 – 8 ]. The computational toxicology approach integrates the available data on the toxicity of thujone [ 9 ].…”