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
Sphere (website) Sphere (website) Sphere was a blog search engine. The Sphere search engine delivered blog posts based on algorithms that combine semantic matching with authority factors to deliver results relevant to the search query. Sphere also organized bloggers by topic. The company produced an application called Sphere It! allowing users to seek blog posts related to news articles based on the contents of a particular web page they're viewing. The function was accessed from a browser navigation bar plug-in. Upon clicking the plug-in button, a semantic analysis was performed on the text within the page and blog posts related to the