paper 9, Sensitive Quantitative Predictions of MHC Binding Peptide from Entamoeba Histolytica
Table of Contents
- Session 1 Software Technology and Engineering
- 1. Trust in a Hybrid Recommender System
- Session 2 Software Technology and Engineering
- 11. ReChaP Prototype: A Tool for Simplifying Requirement Change Propagation to Software Design
- 12. Risk Based Analysis for Detention Pond Overflow at Wilayah Pembangunan Iskandar (Nusajaya), Johor
- 20. A Comparative Evaluation of State-of-the-Art Approaches in the Design of an Adaptive Software System
- Session 3 Software Technology and Engineering
- 21. MiPAF: A Policy-Based Middleware Framework to Control Negative Effects of Software Evolution
- Session 4 Software Technology and Engineering
- 33. MobileObject: Fundamentals
- Session 5 Software Technology and Engineering
- 44. Abasic for Intrusion Detection System
- 48. Inhibiting Pyrolysis Process for Fiber-Reinforced Composites by Using Flame Retardants Additions
- Session 6 Computer Design and Engineering
- 55. Awareness for the Protection of Endangered Species with Augmented Reality
- Session 7 Computer Design and Engineering
- 66. Low Noise Amplifier at 5.8Ghz with Cascode and Cascaded Techniques UsingT-Matching Network for Wireless Applications
- Session 8 Computer Design and Engineering
- 75. Towards Aeroacoustic Characterization of the Sibilant [S] Production from a Simplified Parameterized Geometric Model of the Oral Cavity
- 81. Computational Algorithm to Estimate Final Costs Based on the Number of Users in Space Structures
- Session 9 Energy and Electrical Systems
- 86. Fault Diagnosis of Power Transformers with Neural Network
- 87. Influence of Particle Size and Temperature on Gasification Performance in Externally Heated Gasifier
- 90. Application of Mesh Adaptive Direct Search Method to Power System Valve-Point Economic Load Dispatch
- Session 10 Energy and Electrical Systems
- 98. Effect of Segmented Contacts on Fuel Cell Performance Using 3-D Modelling
Chapter Contents
- Abstract
- Key Words
- Abbreviations:
- I. Introduction
- II. Methodology
- III. Results and Interpretations
- IV. Conclusion
- V. References
Excerpt
Entamoeba histolytica is an anaerobic parasitic protozoan, infecting humans and other primates. Symptoms can include fulminating dysentery, bloody diarrhea, weight loss, fatigue, abdominal pain, and amoeboma. Peptide fragments of antigen protein can be used to select nonamers for use in rational vaccine design and to increase the understanding of roles of the immune system in infectious diseases. Analysis shows MHC class II binding peptides of antigen protein from Entamoeba histolytica are important determinant for protection of host form parasitic infection. In this assay, we used PSSM and SVM algorithms for antigen design and predicted the binding affinity of antigen protein having 335 amino acids, which shows 327 nonamers. Binding ability prediction of antigen peptides to major histocompatibility complex (MHC) class I & II molecules is important in vaccine development from Entamoeba histolytica.
©2011 ASME


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