发明名称 |
SYSTEMS AND METHODS FOR IDENTIFYING DRUG COMBINATIONS FOR REDUCED DRUG RESISTANCE IN CANCER TREATMENT |
摘要 |
<p>Methods and systems are presented herein for creating and using cell type-specific, quantitative network models of signaling in cells, such as melanoma, to predict cellular response to untested combinational perturbations. The methods involve performing a set of perturbation experiments with cells of a particular type to produce phosphoproteomic and/or phenotypic profiles for the cells; automatically extracting prior pathway information from one or more known databases to build a qualitative prior model; building a signaling pathway model from (i) the phosphoproteomic and/or phenotypic profiles produced from the perturbation experiments and (ii) the qualitative prior model from the known database(s); and performing in silico perturbations using the signaling pathway model to predict responses to a set of perturbation conditions not yet experimentally tested, and identifying one or more candidate drug combinations from the predicted responses.</p> |
申请公布号 |
WO2015183883(A1) |
申请公布日期 |
2015.12.03 |
申请号 |
WO2015US32571 |
申请日期 |
2015.05.27 |
申请人 |
MEMORIAL SLOAN KETTERING CANCER CENTER |
发明人 |
SANDER, CHRIS;KORKUT, ANIL |
分类号 |
G06F19/12 |
主分类号 |
G06F19/12 |
代理机构 |
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