MESMER
:: DESCRIPTION
MESMER is a scientific tool designed to identify characteristic structures or components in heterogenous solutions from bulk-average data. It does this by evolving a population of ensembles containing candidate components, selecting only ensembles that fit the available experimental data better than their peers. This robust genetic algorithm allows for the selection of just a few candidates even when there are thousands of possible components.
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::DEVELOPER
:: SCREENSHOTS
:: REQUIREMENTS
- MacOsX/ Windows
- Python
:: DOWNLOAD
:: MORE INFORMATION
Citation
MESMER: Minimal Ensemble Solutions to Multiple Experimental Restraints.
Ihms EC, Foster MP.
Bioinformatics. 2015 Feb 10. pii: btv079.