TY - JOUR A2 - Cordeiro, Maria N. D. S. AU - Hongjiu, Liu AU - Yanrong, Hu PY - 2014 DA - 2014/08/04 TI - Comparison of Two Methods Forecasting Binding Rate of Plasma Protein SP - 957154 VL - 2014 AB - By introducing the descriptors calculated from the molecular structure, the binding rates of plasma protein (BRPP) with seventy diverse drugs are modeled by a quantitative structure-activity relationship (QSAR) technique. Two algorithms, heuristic algorithm (HA) and support vector machine (SVM), are used to establish linear and nonlinear models to forecast BRPP. Empirical analysis shows that there are good performances for HA and SVM with cross-validation correlation coefficients Rcv2 of 0.80 and 0.83. Comparing HA with SVM, it was found that SVM has more stability and more robustness to forecast BRPP. SN - 1748-670X UR - https://doi.org/10.1155/2014/957154 DO - 10.1155/2014/957154 JF - Computational and Mathematical Methods in Medicine PB - Hindawi Publishing Corporation KW - ER -