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- W1674996899 abstract "In the new paradigm for studying biological phenomena represented by Systems Biology, cellular components are not considered in isolation but as forming complex networks of relationships. Protein interaction networks are among the first objects studied from this new point of view. Deciphering the interactome (the whole network of interactions for a given proteome) has been shown to be a very complex task. Computational techniques for detecting protein interactions have become standard tools for dealing with this problem, helping and complementing their experimental counterparts. Most of these techniques use genomic or sequence features intuitively related with protein interactions and are based on “first principles” in the sense that they do not involve training with examples. There are also other computational techniques that use other sources of information (i.e. structural information or even experimental data) or are based on training with examples." @default.
- W1674996899 created "2016-06-24" @default.
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- W1674996899 date "2008-01-01" @default.
- W1674996899 modified "2023-09-25" @default.
- W1674996899 title "Computational Methods to Predict Protein Interaction Partners" @default.
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- W1674996899 doi "https://doi.org/10.1007/978-1-84800-125-1_4" @default.
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