Artificial neural networks-based approach to design ARIs using QSAR for diabetes mellitus

• Main Authors: Patra, Jagdish Chandra, Singh, Onkar
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2011
• Subjects: DRNTU::Science::Chemistry; DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
• Online Access: https://hdl.handle.net/10356/94295; http://hdl.handle.net/10220/7106
• Institution: Nanyang Technological University

In this article, in the first part, we propose an artificial neural network-based intelligent technique to determine the quantitative structure-activity relationship (QSAR) among known aldose reductase inhibitors (ARIs) for diabetes mellitus using two molecular descriptors, i.e., the electronegativi...