TY - JOUR AU - Maetschke, Stefan R. AU - Yuan, Zheng PY - 2009 DA - 2009/10/18 TI - Exploiting structural and topological information to improve prediction of RNA-protein binding sites JO - BMC Bioinformatics SP - 341 VL - 10 IS - 1 AB - RNA-protein interactions are important for a wide range of biological processes. Current computational methods to predict interacting residues in RNA-protein interfaces predominately rely on sequence data. It is, however, known that interface residue propensity is closely correlated with structural properties. In this paper we systematically study information obtained from sequences and structures and compare their contributions in this prediction problem. Particularly, different geometrical and network topological properties of protein structures are evaluated to improve interface residue prediction accuracy. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-10-341 DO - 10.1186/1471-2105-10-341 ID - Maetschke2009 ER -