A billion nonredundant molecular interactions lie buried in the biomedical literature. A text-mining approach could help scientists better exploit this knowledge.
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Acknowledgements
We are grateful to Igor G. Feldman, Sidonie T. Jones, Lyn Dupré Oppenheim, James J. Russo, Rita Rzhetsky, Bengü Sezen and Kenneth C. Smith for numerous invaluable comments regarding earlier versions of this article, and to Harmen Bussemaker for the suggestion of naming the α-parameter 'temperature.' This study was supported by grants from the National Institutes of Health, the National Science Foundation, the Department of Energy and the Defense Advanced Research Projects Agency to A.R.
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Cokol, M., Iossifov, I., Weinreb, C. et al. Emergent behavior of growing knowledge about molecular interactions. Nat Biotechnol 23, 1243–1247 (2005). https://doi.org/10.1038/nbt1005-1243
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DOI: https://doi.org/10.1038/nbt1005-1243
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