Fuzzy discotope for discontinuous epitope prediction in reverse vaccine development

Research output: Contribution to conferencePaperpeer-review

Abstract

The current trend in vaccine development is using the reverse vaccinology that can develop vaccine in a short time. One key step in this process is to accurately predict the location of the conformational epitope in the antigen. This research is aimed to propose a method for conformational epitope prediction based on Adaptive Neuro Fuzzy Inference System (ANFIS). The proposed method is a modification of existing method, Discotope. This method uses propensity scale and structural property to predict the epitope location. The experiment result shows that the proposed method has a higher accuracy than the previous method that did not use fuzzy system.

Original languageEnglish
Publication statusPublished - 1 Dec 2011
EventInternational Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011 - Suzhou, China
Duration: 19 Nov 201123 Nov 2011

Conference

ConferenceInternational Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011
Country/TerritoryChina
CitySuzhou
Period19/11/1123/11/11

Keywords

  • ANFIS
  • Discontinuous epitope prediction
  • Fuzzy system
  • Vaccine development

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