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A Chemocentric Approach to the Identification of Cancer Targets
Author(s) -
Beáta Flachner,
Zsolt Lőrincz,
Angelo Carotti,
Orazio Nicolotti,
Praveena Kuchipudi,
Nikita Remez,
Ferrán Sanz,
József Tóvári,
Miklós J. Szabó,
Béla Bertók,
Sándor Cseh,
Jordi Mestres,
György Dormán
Publication year - 2012
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0035582
Subject(s) - in silico , computational biology , cancer cell lines , virtual screening , cancer , cancer cell , identification (biology) , biology , drug discovery , cancer drugs , cytotoxicity , bioinformatics , cancer research , in vitro , biochemistry , genetics , gene , botany
A novel chemocentric approach to identifying cancer-relevant targets is introduced. Starting with a large chemical collection, the strategy uses the list of small molecule hits arising from a differential cytotoxicity screening on tumor HCT116 and normal MRC-5 cell lines to identify proteins associated with cancer emerging from a differential virtual target profiling of the most selective compounds detected in both cell lines. It is shown that this smart combination of differential in vitro and in silico screenings (DIVISS) is capable of detecting a list of proteins that are already well accepted cancer drug targets, while complementing it with additional proteins that, targeted selectively or in combination with others, could lead to synergistic benefits for cancer therapeutics. The complete list of 115 proteins identified as being hit uniquely by compounds showing selective antiproliferative effects for tumor cell lines is provided.

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