Half sphere exposure both HSEα and HSEβ based on a big dataset by using multiple-step iterative deep neural-network learning. The predicted HSEa shows a higher correlation coefficient to the stability change by residue mutants than predicted HSEβ and ASA. The results, together with its easy Ca-atom-based calculation, highlight the potential usefulness of predicted HSEa for protein structure prediction and refinement as well as function prediction. Half sphere exposure Half Sphere Exposure (HSE) is a protein solvent exposure measure that was first introduced by . Like all solvent exposure measures it measures how buried amino acid residues are in a protein. It is found
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