The goal of KD4v server is to study and understand the links between the structural
impact of a mutation and the human disease phenotype.
We applied Inductive Logic Programming (ILP) approach to the missense variants
mapped to 3D protein structure and annotated by
This server provides two main complementary services:
(i) A knowledge base consists ILP rules
characterizing deleterious mutations that can be biologically interpreted interpretable by biologists and
thus can guide human expert discovery of new correlations between mutation, sequence/3D structure and
These rules are linked to richer relevant knowledgebase including:
(alignment information, protein structure, protein interaction, gene expression, omim, etc);
(ii) Mutation prediction based on ILP rules.
ILP approach can be effectively used for mutation effect prediction with performances similar
to the most widely used methods: SIFT, Polyphen-2.
Resources statistics in KD4v server
Please cite: Tien-Dao Luu, Alin Rusu, Vincent Walter, Benjamin Linard, Laetitia Poidevin, Raymond Ripp, Luc Moulinier, Jean Muller, Wolfgang Raffelsberger, Nicolas Wicker, Odile Lecompte, Julie D. Thompson, Olivier Poch, and Hoan Nguyen (2012). KD4v: Comprehensible Knowledge Discovery System For Missense Variant. Nucleic Acids Res