http://rdf.disgenet.org/resource/nanopub/NP542988.RA2WiwyzV1KjMMLlBEeeQux-LeSB3gPzTxHPGIc0Q5jE4
type: Nanopublication
created: 2015-08-25T14:43:01+02:00
rights: http://opendatacommons.org/licenses/odbl/1.0/
rights holder: IBIGroup
subject: SIO_000983
used data: disgenetv3.0rdf
authored by: http://orcid.org/0000-0001-5999-6269
authored by: http://orcid.org/0000-0002-7534-7661
authored by: 0000-0002-9383-528X
authored by: http://orcid.org/0000-0003-0169-8159
authored by: http://orcid.org/0000-0003-1244-7654
created by: http://orcid.org/0000-0003-0169-8159
version: v3.0.0.0

http://rdf.disgenet.org/resource/nanopub/NP542988.RA2WiwyzV1KjMMLlBEeeQux-LeSB3gPzTxHPGIc0Q5jE4130_assertion
type: Assertion
description: [These results are surprising because current models suggest that Mad proteins should antagonize Myc proteins by competition for direct DNA binding via Max heterodimerization to inhibit cellular proliferation and potentially tumor progression.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine.
evidence: DisGeNET evidence - LITERATURE
SIO_000772: http://identifiers.org/pubmed/18235219
was generated by: ECO_0000203

befree-20150227
imported on: 2015-02-27

DisGeNET evidence - LITERATURE
type: ECO_0000212
comment: Gene-disease associations inferred from text-mining the literature.

disgenetv3.0rdf
version: v3.0.0