OpenEye Toolkit Updated
OpenEye have announced the release of OpenEye Toolkits v2016.Feb. These libraries include the usual support for C++, Python, C# and Java.
The update address several key features.
OpenEye toolkits are used in web services that require protection from malicious users. The most obvious attack vector against the OpenEye toolkits is file format parsing since scientific file formats are complex and often underdefined and there is the potential for embedded malicious code. This update closes a number of potential vulnerabilities.
FastROCS TK: Database Loading Performance
An interesting development is that physical memory limits on GPU's mean that for loading larger libraries the loading of the dataset actually takes longer than the actual search. This release addresses that issue.
This also contains first official release of OEMedChem TK, in particular access to matched molecular pairs.
This 2016.Feb release no longer support OSX 10.8 , but support has been added for OSX 10.11. This 2016.Feb release supports Python 3.5 for the following platforms: OSX 10.10, OSX 10.11, Ubuntu 12, Ubuntu 14, RedHat 6, and RedHat 7