title: META. 3. A genetic algorithm for metabolic transform priorities optimization.
abstract: META is a knowledge-based expert system that simulates the biotransformation of xenobiotics. It operates with the help of a dictionary (knowledge base) to seek target fragments in a compound and transform them to products. Here, a genetic algorithm is introduced to help build the knowledge base and optimize the performance of the methodology.
authors.affiliation: Chemistry Department, Case Western Reserve University, Cleveland, Ohio, USA.
authors.forename: G
authors.initials: G
authors.lastname: Klopman
authors.forename: M
authors.initials: M
authors.lastname: Tu
authors.forename: J
authors.initials: J
authors.lastname: Talafous
mesh_terms: D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D001711:Biotransformation; D005103:Expert Systems; D006801:Humans; D008954:Models, Biological; D008957:Models, Genetic; D051381:Rats; D012984:Software; D015262:Xenobiotics / Q000493:pharmacokinetics*
chemical_list: D015262:Xenobiotics