<p>Hello,</p>

<p>I would like you to suggest me a literature-based interactomics tool. Thanks in advance.</p>

<p><a href="http://www.ihop-net.org/UniPub/iHOP/">iHop</a> is a mature system that uses gene name recognition text-mining on MEDLINE abstracts and allows you to build a gene/protein network model by clicking and adding sentences with multiple gene names.  From the iHop help pages:</p>
<blockquote>
<p>Nodes in this graph represent genes.
Edges correspond to sentences that
associate two genes with each other...The model graph
makes it possible to analyze your
collection of sentences in an
interactive manner and to get familiar
with the newly aquainted knowledge. By
clicking on a gene, all its synonyms
will be highlighted in red and the
corresponding sentences will be ranked
to the top. By clicking on an edge,
those sentences containing the
connected genes are shown at the top.
Furthermore, a line separates these
highlighted sentences from all others...By clicking on a
gene in a sentence, the corresponding
information page for the gene will be
opened and additional information can
be added to the Gene Model.</p>
</blockquote>
<p>Another option that has been around for some time is <a href="http://www.pubgene.org/">PubGene</a>:</p>
<blockquote>
<p>PubGene mines the abstract texts of 25 Million PubMed articles for co-citation of multiple genes or proteins and displays them as "Literature Networks", where nodes represent each gene or protein and the connecting lines represents the number of articles, in which each gene or protein pair is co-cited....When a gene or protein is studied, there is a good chance its name (or a synonym for that name) will appear in articles together with other gene or protein names. One can visualize how most genes that have been studied will be connected either directly or indirectly to each other in a Literature Network. Connections in the literature are a strong indicator of biological interaction.</p>
</blockquote>