%0 Journal Article
%T Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study
%A Jose C A Santos
%A Houssam Nassif
%A David Page
%A Stephen H Muggleton
%A Michael J E Sternberg
%J BMC Bioinformatics
%D 2012
%I BioMed Central
%R 10.1186/1471-2105-13-162
%X The rules induced by ProGolem detect interactions mediated by aromatics and by planar-polar residues, in addition to less common features such as the aromatic sandwich. The rules also reveal a previously unreported dependency for residues CYS and LEU. They also specify interactions involving aromatic and hydrogen bonding residues. This paper shows that Inductive Logic Programming implemented in ProGolem can derive rules giving structural features of protein/ligand interactions. Several of these rules are consistent with descriptions in the literature.In addition to confirming literature results, ProGolem¡¯s model has a 10-fold cross-validated predictive accuracy that is superior, at the 95% confidence level, to another ILP system previously used to study protein/hexose interactions and is comparable with state-of-the-art statistical learners.
%U http://www.biomedcentral.com/1471-2105/13/162/abstract