Publications by authors named "Wen-Qian Zhong"

Article Synopsis
  • Scientists are trying to find out how drugs work with proteins in our body, but traditional methods are expensive and take a lot of time.
  • They created a new method using a computer to better predict how drugs interact with proteins, achieving a high accuracy of 92.53% in their results.
  • This method helped identify 2272 possible drug-protein interactions that could lead to treatments for diseases like Torg-Winchester syndrome and rhabdomyosarcoma.
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Identifying potential drug target proteins is a crucial step in the process of drug discovery and plays a key role in the study of the molecular mechanisms of disease. Based on the fact that the majority of proteins exert their functions through interacting with each other, we propose a method to recognize target proteins by using the human protein-protein interaction network and graph theory. In the network, vertexes and edges are weighted by using the confidence scores of interactions and descriptors of protein primary structure, respectively.

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