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 language | English |
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| Pages | 6P |
| Publication status | Published - 2011 |
| Event | International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011 - Suzhou, China Duration: 19 Nov 2011 → 23 Nov 2011 |
Conference
| Conference | International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011 |
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| Country/Territory | China |
| City | Suzhou |
| Period | 19/11/11 → 23/11/11 |
Keywords
- ANFIS
- Discontinuous epitope prediction
- Fuzzy system
- Vaccine development