In Silico Prediction of Allergenic Proteins

• DOI: 10.1007/978-1-4939-1115-8_21
• Publication Date: 2014-07-21T13:41:47Z
• Authors: Gaurab Sircar; Bodhisattwa Saha; Swati Gupta Bhatt...; Sudipto Saha
• Keywords: Internet; Molecular Sequence Data; Computational Biology; Proteins; Allergens; Immunoglobulin E; Epitopes; Artificial Intelligence; Animals; Humans; Computer Simulation; Amino Acid Sequence; Databases, Protein; Sequence Alignment; Software

Currently, the prediction of new allergens is becoming important due to use of genetically modified (GM) foods and biopharmaceuticals. In this chapter, we describe how to use four popular allergenic prediction servers: (1) Structural Database of Allergenic Proteins (SDAP), (2) Allermatch, (3) Evaller 2, and (4) AlgPred. The first two prediction servers are based on traditional approaches, whereas Evaller 2 and AlgPred use sophisticated machine learning techniques.