LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone

@inproceedings{Chen2014LigandRFsRF,
  title={LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone},
  author={Peng Chen and Jianhua Z. Huang and Xin Gao},
  booktitle={BMC Bioinformatics},
  year={2014}
}
Protein-ligand binding is important for some proteins to perform their functions. Protein-ligand binding sites are the residues of proteins that physically bind to ligands. Despite of the recent advances in computational prediction for protein-ligand binding sites, the state-of-the-art methods search for similar, known structures of the query and predict the binding sites based on the solved structures. However, such structural information is not commonly available. In this paper, we propose a… CONTINUE READING
13 Citations
39 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 13 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 39 references

Similar Papers

Loading similar papers…