Molecular docking is widely used to discovery novel ligands in structure-based drug design (SBDD) [1]. Over the past 15 years, various docking programs have been developed. Generally, flexible docking programs, such as DOCK, AutoDock, FlexX, GOLD and Glide, have the ability to predict protein-ligand complex structures with reasonable accuracy and speed. These docking programs are aimed at predi...

Structural damage assessed on conventional radiographs is an important outcome measure in psoriatic arthritis. This article reviews the available scoring methods. A full description of the methods is given as well as information on various aspects of validity.

Gene products or pathways that are aberrantly activated in cancer but not in normal tissue hold great promises for being effective and safe anticancer therapeutic targets. Many targeted drugs have entered clinical trials but so far showed limited efficacy mostly due to variability in treatment responses and often rapidly emerging resistance. Toward more effective treatment options, we will need...

It has been recently discovered that stacking the pairwise comparison scores between an unknown patterns and a set of known patterns can result in feature vectors with nice discriminative properties for classification. However, such technique can be hampered by the curse of dimensionality because the vectors size is equal to the training set size. To overcome this problem, this paper investigat...

Dimensionality reduction is an important process in text categorization. Feature scoring methods are used in order to realize this reduction. Features are evaluated and selection is performed according to a certain threshold. In this paper, we propose combining pairs of high-performing feature scoring methods to enhance text categorization. We analyzed the performance of constructing this combi...