Half sphere exposure used in predicting discontinuous B-cell epitopes. Song et al. have developed an online webserver termed HSEpred to predict half-sphere exposure from protein primary sequences. HSEpred server can achieve the correlation coefficients of 0.72 and 0.68 between the predicted and observed HSE-up and HSE-down measures, respectively, when evaluated on a well-prepared non-homologous protein structure dataset. Moreover, residue contact number (CN) can also be accurately predicted by HSEpred webserver using the summation of the predicted HSE-up and HSE-down values, which has further enlarged the application of this new solvent exposure measure. Recently, Heffernan et al. has developed the most accurate predictor for
Science On a Sphere what is available on the market. The newest configuration uses one Ubuntu linux computer with NVIDIA GTX graphics cards, and an iPad app to control the Science On a Sphere. Previous versions used five Red Hat Linux computers. The majority of SOS assets are so-called "datasets". Originally conceived as a video system for showing space based collections of Earth data, SOS has grown in its utility. The majority of data that traditionally appears on the SOS screens concerns the Earth, either from near-real-time data acquisition systems, or from processed remote sensing platforms. But recent interest and growth in different kinds