STEROID : in silico heuristic target combination identification for disease-related signaling networks

• Main Authors: Bhowmick, Sourav S., Chua, Huey-Eng, Tucker-Kellogg, Lisa, Dewey Jr., C. Forbes
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/96343; http://hdl.handle.net/10220/11924
• Institution: Nanyang Technological University

Given a signaling network, the target combination identification problem aims to predict efficacious and safe target combinations for treatment of a disease. State-of-the-art in silico methods use Monte Carlo simulated annealing (mcsa) to modify a candidate solution stochastically, and use the Metro...