Chemokines are low molecular mass cytokine-like proteins that orchestrate
a myriads of immune functions like leukocyte trafficking, leukocyte locomotion,
T cell differentiation, angiogenesis, hematopeosis and mast cell degranulation.
The receptors for these molecules are all seven-pass transmembrane G
protein-coupled receptors that have been excellent targets for small-molecule
drugs. Chemokines and their receptors are intimately involved in a wide array of
diseases ranging from asthma to AIDS. In this paper, an attempt has been made to
predict this important class of proteins and further classify them into families.
A Support Vector Machine-based approach is adopted to develop the prediction methods.
ChemoPred is capable of predicting chemokines and chemokine receptors with
an accuracy of 95.08% and 92.19% respectively. The overall accuracy of classification
of chemokines was into three families was 96.00% and that of chemokine receptors into
three families was 92.87%. The server chemopred is freely avaialable at