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JSmol is the extension of the Java-based molecular visualization applet Jmol (jmol.sourceforge.net) as an HTML5 JavaScript-only web app. It can be used in conjunction with the Java applet to provide an alternative to Java when the platform does not support that (iPhone/iPad) or does not support applets (Android). Used in conjunction with the Jmol JavaScript Object (http://wiki.jmol.org/index.php/Jmol_Javascript_Object), JSmol seamlessly offers alternatives to Java on these non-Applet platforms.
JSmol can read all the files that Jmol reads. You can do all the scripting that Jmol does. ...
...The latest version includes the following toxicity prediction modules:
-Cramer rules (oral toxicity)
-Toxicity mode of action via Verhaar scheme
-Skin irritation and Eye irritation prediction
-Benigni / Bossa rulebase for mutagenicity and carcinogenicity prediction
-START biodegradation and persistence prediction
-Skin sensitisation reactivity domain
-Kroes TTC Decision tree
-SMARTCyp - Cytochrome P450-Mediated Drug Metabolism and metabolites prediction
-Structure Alerts for the in vivo micronucleus assay in rodents (ISSMIC)
-Structural Alerts for Functional Group Identification (ISSFUNC)
-Structural alerts associated with covalent protein binding and DNA binding.
- Ames mutagenicity
Toxtree provides a plugin framework to incorporate different approaches to the estimation. Platform independent (written in Java), with the use of The Chemistry Development Kit.
J-ICE stands for Jmol interface for crystallographic and electronic properties. Is an extension of the powerful, platform independent molecular visualizer Jmol, towards crystallographic and electronic properties. More info will be given soon.
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...Additionaly jPeriodic offers a small temperature converter which is able to convert between Celcius and Kelvin.
Because jPeriodic is coded in Java the software is platform-independent, meaning you can run jPeriodic on Windows, Mac OS, Linux and many other operating systems which are able to run a Java Virtual Machine.
LaJolla can perform 3D alignments of RNA and protein structures. It is fast, simple to use and well tested. LaJolla is successfully published in a peer reviewed journal.
!!!!!! PROJECT MOVED TO GITHUB !!!!!!
Please check out http://raphaelbauer.github.io/lajolla/