- Single Build Distributions: C++ and Python single-build Linux distributions have been added. These distributions will run across many common Linux platforms.
- Protein-Ligand Visualization: The receptor-ligand visualization has been extended to visualize two new interaction types: salt-bridges and stacking interactions (Pi and T).
- Tversky Similarity Scoring in FastROCS TK: The Tversky similarity function has been added, enabling asymmetric similarity scoring.
Single Build Distributions
A Linux distribution built for maximum compatibility across multiple Linux versions is now available. This will simplify the deployment of toolkits and toolkit programs across heterogeneous Linux environments. A toolkit executable built using the single-build distribution will run unmodified on most modern Linux systems, eliminating the need to build executables for each Linux release or compiler version. Currently, this single-build release is available for C++ and Python in parallel with our normal version-specific releases. In the future, we plan to make this build strategy available for all OpenEye-supported platforms.For more information, see the Single-Build Distributions (Linux) section for C++ and the Common Linux Single-Build Installation section for Python.
Grapheme TK provides representation schemes that allow clear and coherent visualization of complex chemical information. Its most important function is to project the intricate interactions of a protein-ligand complex into a 2D diagram visualizing key interactions and properties that chemists can use to make fast and effective judgments.
The receptor-ligand visualization introduced in 2015.Feb has been extended to visualize two new interaction types: salt-bridges and stacking interactions (Pi and T). Accordingly, the color scheme used to depict these interactions has been revamped.
Grapheme TK has also introduced the capability to select and highlight various parts of the protein-ligand 2D depiction.
Examples of new protein-ligand visualization in Grapheme TK
Tversky Similarity Scoring in FastROCS TK
FastROCS TK has supported only Tanimoto (symmetric) similarity scoring since its inception. This release adds Tversky similarity scoring to FastROCS TK. Using Tversky instead of Tanimoto scoring can lead to a higher retrieval of actives in searches, as indicated by our large-scale comparison experiment using the DUDE database (see the chart below).
Other significant improvements in FastROCS TK include the reduced memory consumption of OEShapeDatabase to support color scoring and support for the new 361.* driver. This new driver has a noticeable performance improvement (approximately 10%), so upgrading is recommended.
Retrieval rates using Tanimoto and Tversky similarity measures
- This 2016.Jun release supports Python 3.5 on Windows with Visual Studio 2015. Python 3.3 on Windows is no longer supported.
- This 2016.Jun release supports Visual Studio 2015 for C++ and C# toolkits. Visual Studio 2010 and Visual Studio 2012 are no longer supported.
- This 2016.Jun release is the last to support Ubuntu 12 for all toolkits. The 2016.Oct release will add Ubuntu 16 support.
- This 2016.Jun release is the last to support 32-bit RedHat 5 for all toolkits.
- This 2016.Jun release is the last to support Python 2.6 on RedHat 6.
Note: OpenEye is planning to phase out Python 2 support by the October, 2017 release. As this is a substantial change for us and our customers, we are willing to help with code migration, either with advice or hands-on work with your code-base. Please contact firstname.lastname@example.org for more details.AVAILABILITY
See the release notes for full and specific details on improvements and fixes.
About OpenEye Scientific Software
OpenEye Scientific Software Inc. is a privately held company headquartered in Santa Fe, NM, with offices in Boston, Cologne, Strasbourg, and Tokyo. It was founded in 1997 to develop large-scale molecular modeling applications and toolkits. Primarily aimed towards drug discovery and design, areas of application include:
- Structure Generation
- Shape Comparison
- Fragment Replacement
The software is designed for scientific rigor, as well as speed, scalability and platform independence. OpenEye makes most of its technology available as toolkits - programming libraries suitable for custom development. OpenEye software typically is distributable across multiple processors and runs on Linux, Windows and Mac OS X.
For additional information