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A framework based on numerous empirical data, including protein-protein interaction reference sets, provides parameters for assessing the quality and coverage of protein-protein interaction datasets and estimation of the size of the human interactome. Braun et al., also in this issue, use the reference sets to help derive confidence scores for individual protein-protein interactions.
Use of the protein-protein interaction reference sets reported in this issue in Venkatesan et al. to benchmark four complementary protein-protein interaction assays, followed by the training of a logistic regression model, allows the assignment of standardized confidence scores to individual protein-protein interactions.
To scale up the production and complexity of DNA nanostructures, researchers enlist the help of Escherichia coli to replicate and assemble them in vivo.
An algorithm for identifying allosteric mechanisms allows researchers to assemble a functional multidomain protein and may offer new evolutionary insights.
Comprehensive sets of clones and improved high-throughput methods for production of functional proteins now allow proteome-scale in vitro experiments on nearly 15,000 human genes.
Efficient methods to characterize the binding properties of affinity reagents are required. A combination of bacterial surface display, flow cytometry and pyrosequencing is now used for high-speed mapping of the epitopes recognized by antibodies.
Sequencing technology is now advanced enough to decode individual human genomes. Will it prove to be better than existing methods for discovering the genetic basis of human phenotypic variation?
Researchers describe a method for protein identification and quantification based on electron-vibration-vibration two-dimensional infrared spectroscopy.
With increasing numbers of well-characterized stem cell lines and improved culture and differentiation technologies, more scientists are testing the waters of stem cell research.
Massively parallel sequencing is a precise way to analyze copy-number variations given the right computational tools. An algorithm now facilitates the detection and fine mapping of copy-number gains and losses from millions of short sequence reads.