Titlebook: Immunoinformatics; Predicting Immunogen Darren R. Flower Book 2007 Humana Press 2007 Allele.Antigen.Computer.In silico.artificial intellige

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king is neither a necessary nor a sufficient condition for lung cancer. One of the main indicators for causality is that, at the population level, smoking highly increases the probability of having lung cancer. A probabilistic concept of causation was developed by some philosophers that could have g

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Immunoinformatics and the in Silico Prediction of Immunogenicityon of immunogenicity, be that at the level of epitope, subunit vaccine, or attenuated pathogen. Immunogenicity is the ability of a pathogen or component thereof to induce a specific immune response when first exposed to surveillance by the immune system, whereas antigenicity is the capacity for reco

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IMGT®, the International ImmunoGeneTics Information System® for ImmunoinformaticsMontpellier II and CNRS) at Montpellier, France, in order to standardize and manage the complexity of immunogenetics data. .. is recognized as the international reference in immunogenetics and immunoinformatics. .. is a high quality integrated knowledge resource, specialized in (i) the immunoglobuli

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IPDtly consists of four databases: IPD-KIR, contains the allelic sequences of killer cell immunoglobulin-like receptors (KIRs); IPD-MHC, a database of sequences of the major histocompatibility complex (MHC) of different species; IPD-HPA, alloantigens expressed only on platelets; and IPD-ESTAB, which pr

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SYFPEITHI we discuss the advantages and pitfalls of T-cell epitope prediction compared to classical experimental procedures such as epitope mapping and cloning experiments. We introduce our three established programs, SYFPEITHI, PAProc, and SNEP, which are freely accessible at no cost in the World Wide Web f

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Searching Haptens, Carrier Proteins, and Anti-Hapten Antibodiestant for the development of immunodiagnostics and therapeutics. Recently, our group has developed a database called HaptenDB, which provides comprehensive information about 1,087 haptens. In this chapter, we describe following web tools integrated in HaptenDB: (i) keyword search facility allows sear

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The Classification of HLA Supertypes by GRID/CPCA and Hierarchical Clustering Methodsthods that are used to assign data with similar properties into several smaller, more meaningful groups. Two commonly used clustering techniques are introduced in the following section: principal component analysis (PCA) and hierarchical clustering. PCA calculates the variance between variables and