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QSAR DataBank (QsarDB) is repository for (Quantitative) Structure-Activity Relationships ((Q)SAR) data and models. It also provides open domain-specific digital data exchange standards and associated tools that enable research groups, project teams and institutions to share and represent predictive in silico models.
This database contains references to publications that include numerical data, comments, and reviews on atomic transition probabilities (oscillator strengths, line strengths, or radiative lifetimes), and is part of the collection of the NIST Atomic Spectroscopy Data Center http://physics.nist.gov/PhysRefData/datarefs/datarefs_search_form.html
The Yeast Resource Center provides access to data about mass spectrometry, yeast two-hybrid arrays, deconvolution florescence microscopy, protein structure prediction and computational biology. These services are provided to further the goal of a complete understanding of the chemical interactions required for the maintenance and faithful reproduction of a living cell. The observation that the fundamental biological processes of yeast are conserved among all eukaryotes ensures that this knowledge will shape and advance our understanding of living systems.