Heme binding residue prediction using hybrid machine learning and template-based methods

This server predicts heme-binding residues based on the hybrid machine learning (with structural and sequence features) and template-based approaches. For proteins with good templates, it achieves significantly better performance.
Citation: R. Liu and J. Hu. Computational Prediction of Heme-Binding Residues by Exploiting Residue Interaction Network. PLoS ONE 6(10): e25560.

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This project is supported by NSF CAREER AWARD BIO-DBI-0845381. Web server was developed by Rong Liu and Jianjun Hu.