Background: Semantic similarity measures are useful to assess the physiological relevance of protein-protein interactions (PPIs). They quantify similarity between proteins based o...
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Background: The prediction of conformational B-cell epitopes is one of the most important goals in immunoinformatics. The solution to this problem, even if approximate, would help...
Yanxin Huang, Yongli Bao, Shu Yan Guo, Yan Wang, C...
Background: This article provides guidelines for selecting optimal numerical solvers for biomolecular system models. Because various parameters of the same system could have drast...
Abstract. Artificial immune systems (AISs) are problem-solving systems inspired by the biological immune system. They have been successfully applied to a number of problem domains ...