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 webs.iiitd.edu.in/raghava/chemopred.