Autosave

Autosave is a function in many computer applications or programs which saves an opened document automatically, helping to reduce the risk or impact of data loss in case of a crash or freeze. Autosaving is typically done either in predetermined intervals or before a complex editing task is begun.

It has traditionally been seen as a feature to protect documents in an application or system failure (crash), and autosave backups are often purged whenever the user finishes his or her work. An alternative paradigm is to have all changes saved continuously (as with pen and paper) and all versions of a document available for review. This would remove the need for saving documents entirely. There are challenges to implementation at the file, application and operating system levels.

For example, in Microsoft Excel 2003, this option is called AutoRecover and, by default, saves the document every ten minutes in the temporary file directory. Restarting Excel after crashing prompts the user to save the last recovered version. However, this does not protect users who mistakenly click "No" when asked to save their changes if Excel closes normally.

ASD

ASD may refer to:

In science and technology

Biology

Medicine

Computing

Other uses in science and technology

ASD (database)

Allostery is the most direct and efficient way for regulation of biological macromolecule function induced by the binding of a ligand at an allosteric site topographically distinct from the orthosteric site. Due to the inherent high receptor selectivity and lower target-based toxicity, it is also expected to play a more positive role in drug discovery and bioengineering, leading to rapid growth on allosteric findings.

Allosteric Database (ASD) provides a central resource for the display, search and analysis of the structure, function and related annotation for allosteric molecules. Currently, ASD contains allosteric proteins from more than 100 species and modulators in three categories (activators, inhibitors, and regulators). Each protein is annotated with a detailed description of allostery, biological process and related diseases, and each modulator with binding affinity, physicochemical properties and therapeutic area. Integrating the information of allosteric proteins in ASD should allow for the prediction of allostery for unknown proteins and eventually make them ideal targets for experimental validation. In addition, modulators curated in ASD can be used to investigate potent allosteric targets for the query compound, and also help chemists implement structure modifications for novel allosteric drug designs. Therefore, ASD could be a platform and a starting point for biologists and medicinal chemists for furthering allosteric research.