Bertone, P., Kluger, Y., Lan, N., Zheng, D., Christendat, D., Yee, A., Edwards, A.M., Arrowsmith, C.H., Montelione, G.T. and Gerstein, M. SPINE: an integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics. 2001 Nucleic Acids Res, 29, 2884-2898. Home/Search Document Details and Download
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Toward a Systematic Definition of Protein Function That.. - Ning, Jansen, Gerstein (Correct)
....on an arbitrary mixture of symbolic and numeric values, and it is not necessary to scale the variables relative to one another. The model is generally robust in the presence of missing values, which is important because in many cases the probability of interaction with certain ligands is unknown [48]. We selected a training set of 156 DNA binding proteins and 154 non DNA binding proteins based on GO annotation. Only proteins with the most reliable GO evidence (codes TAS or IDA) and thereby having a DNA binding probability of 1.0, were selected as DNA binding. Non DNA binding proteins were ....
P. Bertone et al., "SPINE: An integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics," Nucleic Acids Res., vol. 29, pp. 2884--2898, 2001.
SPINE 2: A System for Collaborative Structural.. - Goh, Lan, Echols, .. (2003) (1 citation) Self-citation (Bertone Lan Zheng Montelione Gerstein) (Correct)
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Bertone, P., Kluger, Y., Lan, N., Zheng, D., Christendat, D., Yee, A., Edwards, A.M., Arrowsmith, C.H., Montelione, G.T. and Gerstein, M. SPINE: an integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics. 2001 Nucleic Acids Res, 29, 2884-2898.
The new direction in bioinformatics: Integrative data mining .. - Bertone, Gerstein Self-citation (Bertone) (Correct)
....accessible to machine learning algorithms. 13 Recently, a combined approach was developed to facilitate distributed collaboration among many laboratories using a shared database system, and subsequently predict macromolecular properties from structural proteomics data via decision tree analysis [28]. Experimental parameters for protein cloning, purification, biophysical characterization, NMR, and X ray crystallization were recorded in a database. These values were standardized across many laboratories and institutions, providing a common data format for retrospective analysis. Using the ....
Bertone P, Kluger Y, Lan N, Zheng D, Edwards AM, Arrowsmith CH, Montelione GT, and Gerstein M (2001). SPINE: An integrated tracking database and data mining approach for prioritizing feasible targets in high-throughput structural proteomics (in press).
What is bioinformatics? A proposed definition and.. - Luscombe, Greenbaum.. (Correct)
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Bertone, P., et al., SPINE: An integrated tracking database and datamining approach for high-throughput structural proteomics, enabling the determination of the properties of readily characterized proteins. Nucleic Acids Res, In press.
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