A Hybrid Method of Propensity Scales and Support Vector Machine in a Linear Epitope Prediction

@article{Wang2011AHM,
  title={A Hybrid Method of Propensity Scales and Support Vector Machine in a Linear Epitope Prediction},
  author={Hsin-Wei Wang and Ya-Chi Lin and Tun-Wen Pai and Pei-Wen Tsai and Hao-Teng Chang},
  journal={2011 International Conference on Complex, Intelligent, and Software Intensive Systems},
  year={2011},
  pages={541-546}
}
An epitope activates B cells to amplify and induce antibodies which can neutralize the foreign molecules, particles and pathogens. It also plays a crucial role in developing synthetic peptides for vaccination. Identification of epitopes using biological screening approaches is time consuming and high cost. Therefore, bioinformatics approaches are developed to enhance the speed of identifying the epitopes and conserve time. Herein, a combinatorial methodology based on physico-chemical properties… CONTINUE READING

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 19 references

Improved method for predicting linear B-cell epitopes

  • J. E. Larsen
  • Immunome Res, vol. 2, 2006, pp. 2; DOI 10.1186…
  • 2006
3 Excerpts

Similar Papers

Loading similar papers…