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Information
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| Cytokine Superfamily |
| Cytokines, a diverse group of polypeptides that are generally associated with
inflammation, immune activation, and cell differentiation or death, include interleukins
(IL), interferons (IFN), tumor necrosis factors (TNF) and various growth factors,
including transforming growth factor beta (TGF-beta), fibroblast growth factor (FGF),
heparin binding growth factor (HBGF) and neuron growth factor (NGF),
etc. Recent studies have revealed that this superfamily of proteins
participate in various new biological processes. For example, the mixture of cytokines that is produced in the tumor
microenvironment has an important role in cancer pathogenesis: cytokines that are
released in response to infection, inflammation and immunity can function to inhibit
tumor development and progression. Cytokines also response to brain
injury and have diverse actions that can cause, exacerbate, mediate and/or inhibit
cellular and repair.
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| Support Vector Machine (SVM) |
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Support Vector Machines (SVMs) are a class of statistical learning algorithms whose
theoretical basis was first presented by Vapnik. After the1990s, they
became extremely popular in the machine-learning community.
In this study the SVM was implemented using the freely downloadable software
package libsvm written by Chih-Chung Chang and Chih-Jen Lin. The
software, which features in efficient multi-class classification, enables the user to
define a number of parameters as well as to select from a choice of inbuilt kernel
functions, including a radial basis function (RBF) and a polynomial kernel (of given
degree).
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| CTKPred |
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CTKPred is a web server for the prediction of family and subfamily of
the cytokine superfamily proteins based on support vector machine(SVM).
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