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The web-server iMulti-HumPhos used to predict multi-label human phosphhorylated proteins. We have designed a simple and efficient predictor iMulti-HumPhos for predicting multi-label phosphorylated protein. Experimental results show that our method is very promising and can be a useful tool for prediction of multi-label phosphorylated protein. The iMulti-HumPhos has achieved remarkably higher success rates in comparison with the existing predictors (Multi-iPPseEvo) in this area. For convenience of the experimental scientists, we have established a user-friendly web server and a step by step guide have been provided about how to use this web server. It provides as easier way to obtain the desired results without knowing the mathematical details. We have projected that the iMulti-HumPhos will become a very useful and higher throughput tool to deal with both single- and multi-label phosphorylated protein prediction systems. A user-friendly web server for the iMulti-HumPhos is available at http://research.ru.ac.bd/iMulti-HumPhos/

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