Predicts interaction between drug and enzyme in cellular networking. iEzy-Drug improves the prediction quality thank to it capability to introduce the 2D molecular fingerprints to represent drug samples. It uses PseAAC to incorporate the features derived from the sequences of enzymes that are essential for identifying the interaction of enzymes with drugs. The tool identifies interactive enzyme-drug pairs and non-interactive enzyme-drug pairs with a success rate of 91%.
Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen, China; Information School, ZheJiang Textile & Fashion College, NingBo, China; Gordon Life Science Institute, Belmont, MA, USA; Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia
iEzy-Drug funding source(s)
Supported by the Grants from the National Natural Science Foundation of China (no. 31260273), the Jiangxi Provincial Foreign Scientific and Technological Cooperation Project (no. 20120BDH80023), Natural Science Foundation of Jiangxi Province, China (no. 2010GZS0122, 20122BAB201020), the Department of Education of Jiangxi Province (GJJ12490), the LuoDi plan of the Department of Education of Jiangxi Province (KJLD12083), and the Jiangxi Provincial Foundation for Leaders of Disciplines in Science (20113BCB22008).