Background: Mutagenesis is commonly used to engineer proteins with desirable properties not present in the wild type (WT) protein, such as increased or decreased stability, reactivity, or solubility. Experimentalists ...
详细信息
Background: Mutagenesis is commonly used to engineer proteins with desirable properties not present in the wild type (WT) protein, such as increased or decreased stability, reactivity, or solubility. Experimentalists often have to choose a small subset of mutations from a large number of candidates to obtain the desired change, and computational techniques are invaluable to make the choices. While several such methods have been proposed to predict stability and reactivity mutagenesis, solubility has not received much attention. Results: We use concepts from computational geometry to define a three body scoring function that predicts the change in protein solubility due to mutations. The scoring function captures both sequence and structure information. By exploring the literature, we have assembled a substantial database of 137 single-and multiple-point solubility mutations. Our database is the largest such collection with structural information known so far. We optimize the scoring function using linearprogramming (LP) methods to derive its weights based on training. Starting with default values of 1, we find weights in the range [ 0,2] so that predictions of increase or decrease in solubility are optimized. We compare the LP method to the standard machine learning techniques of support vector machines (SVM) and the Lasso. Using statistics for leave-one-out (LOO), 10-fold, and 3-fold cross validations (CV) for training and prediction, we demonstrate that the LP method performs the best overall. For the LOOCV, the LP method has an overall accuracy of 81%.
Water resource is basic natural and strategic economic *** core of water resource optimization is to raise the efficiency of using water which ensures the sustainable development of economic society by sustainabl...
详细信息
Water resource is basic natural and strategic economic *** core of water resource optimization is to raise the efficiency of using water which ensures the sustainable development of economic society by sustainable use of water. The thesis also establishes a water resource optimization model by combining input-output method and linear programming method,And according to the concrete data,the empirical research analyzes water consuming structure and features of three strata of industry in Hehei *** come to the optimal scheme of water resource optimization in Hebei Province.
linearprogramming modeling is mainly concerned with solving the maximum or minimum value of a linear function under a group of linear constraints. It has been widely used in many subjects and fields. As an applicatio...
详细信息
linearprogramming modeling is mainly concerned with solving the maximum or minimum value of a linear function under a group of linear constraints. It has been widely used in many subjects and fields. As an application example of linearprogramming, this paper decomposed two-wave salvo into three steps, used Floyd algorithm and 0-1 programming to complete the task allocation model, and used Dijkstra algorithm to carry out path planning for the subsequent transfer of missile vehicles, and designed the transfer path with the highest survival rate.
暂无评论