Inductive Logic Programming (ILP) has been applied to discover rules
governing the three-dimensional topology of protein structure. The
data-set unifies two sources of information; SCOP and PROMOTIF.
Cross-validation results for experiments using two background
knowledge sets, global (attribute-valued) and constitutional
(relational), are presented. The application makes use a new feature
of Progol4.4 for numeric parameter estimation. At this early stage of
development, the rules produced can only be applied to proteins for
which the secondary structure is known. However, since the rules are
insightful, they should prove to be helpful in assisting the
development of taxonomic schemes. The application of ILP to fold
recognition represents a novel and promising approach to this
problem. (PostScript, compressed
PostScript or PDF)
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