Espresso ELN 7.3.2.0




Espresso ELN is a fully featured electronic lab notebook (ELN) suited for organic, organometallic, polymer and peptide chemistry, featuring a strong protocol editor, detection of synthetic context, substructure searches and optional data sharing and backup via server. It combines simple and intuitive handling with state of the art and beyond interface and functionality and is suited for all needs, ranging from universities and small companies to big pharma teams.

Focus On Protocol
Espresso ELN strategically focuses on the experiment protocol - after all, a lab notebook primarily exists for protocoling experiments. Its highly functionalized protocol editor features text processor grade capabilities combined with chemical awareness and content recognition. The editor features multi-step Undo/Redo capabilities, functionalized protocol elements, embeds images and any kind of documents, allows grouping of elements to indicate mixtures, prints WYSIWYG, and can efficiently be exported to PDF - including bookmarked embedded documents.

Synthetic Context
An experiment may share a common conversion with other experiments; this step may be part a synthetic step sequence, and finally the step sequence may be connected to other sequences - think about alternative approaches towards a common target, or the synthesis of various targets starting from a common building block. Espresso ELN visualizes such contexts automatically and in an intuitive manner by creating synthesis schemes on the fly. These auto-generated schemes allow you to drill down to single experiments and are also great for presentations.

Substructure Searches
Reaction substructure searches (RSS) are a highly powerful tool for chemists for finding similar structures and conversions. The queries are powered by a client-integrated, ChemBytes proprietary query engine, no server required. The returned results are conveniently grouped by identical reaction, and within each group further sorted either by yield or by scale. In addition to chemical drawing based RSS-searches, Espresso ELN also supports the efficient text-based SMARTS query format.

OS: Windows
Lang: Englisch
Size: 22,17 MB
Format: .exe
Hoster: Uploaded
PW: boerse


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