Inferring the function of genes from synthetic lethal mutations

Ray, O; Bryant, CH

Abstract

Techniques for detecting synthetic lethal mutations in double gene deletion experiments are emerging as powerful tool for analysing genes in parallel or overlapping pathways with a shared function. This paper introduces a logic-based approach that uses synthetic lethal mutations for mapping genes of unknown function to enzymes in a known metabolic network. We show how such mappings can be automatically computed by a logical learning system called eXtended Hybrid Abductive Inductive Learning (XHAIL).

• Presentation Conference Type: Conference Paper (published)
• Publication Date: Mar 1, 2008
• Deposit Date: Aug 19, 2011
• Publicly Available Date: Apr 5, 2016
• Pages: 667-671
• Book Title: Complex, Intelligent and Software Intensive Systems
• ISBN: 978-0-7695-3109-0
• DOI: https://doi.org/10.1109/CISIS.2008.124
• Keywords: Artificial intelligence, bioinformatics, logic programming
• Publisher URL: http://doi.ieeecomputersociety.org/10.1109/CISIS.2008.124
• Related Public URLs: http://www.computer.org/; http://www.informatik.uni-trier.de/~ley/db/conf/cisis/cisis2008.html