Retrieving novel C5aR antagonists using a hybrid ligand-based virtual screening protocol based on SVM classification and pharmacophore models

@article{Qing2013RetrievingNC,
  title={Retrieving novel C5aR antagonists using a hybrid ligand-based virtual screening protocol based on SVM classification and pharmacophore models},
  author={Xiao-Yu Qing and Chunhui Zhang and Lin-Li Li and Pan Ji and Shuang Ma and Hualin Wan and Zerong Wang and Jun Zou and Sheng-Yong Yang},
  journal={Journal of Biomolecular Structure and Dynamics},
  year={2013},
  volume={31},
  pages={215 - 223}
}
  • Xiao-Yu Qing, Chunhui Zhang, +6 authors Sheng-Yong Yang
  • Published 2013
  • Chemistry, Medicine
  • Journal of Biomolecular Structure and Dynamics
  • C5aR antagonists have been thought as potential immune mediators in various inflammatory and autoimmune diseases, and discovery of C5aR antagonists has attracted much attention in recent years. The discovery of C5aR antagonists was usually achieved through high-throughput screening, which usually suffered a high cost and a low success rate. Currently, the fast developing computer-aided virtual screening (VS) methods provide economic and rapid approaches to the lead discovery. In this account… CONTINUE READING

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    SHOWING 1-10 OF 52 REFERENCES

    Structure-Based and Ligand-Based Drug Design for HER 2 Receptor

    VIEW 1 EXCERPT

    Virtual Screening of Abl Inhibitors from Large Compound Libraries by Support Vector Machines

    VIEW 3 EXCERPTS

    SVM Model for Virtual Screening of Lck Inhibitors

    Ligand-Based Dual Target Drug Design for H1N1: Swine Flu- A Preliminary First Study

    VIEW 1 EXCERPT

    Drug discovery today.