Matches in SemOpenAlex for { <https://semopenalex.org/work/W2160992134> ?p ?o ?g. }
- W2160992134 endingPage "3240" @default.
- W2160992134 startingPage "3230" @default.
- W2160992134 abstract "Abstract Large-scale cancer datasets such as The Cancer Genome Atlas (TCGA) allow researchers to profile tumors based on a wide range of clinical and molecular characteristics. Subsequently, TCGA-derived gene expression profiles can be analyzed with the Connectivity Map (CMap) to find candidate drugs to target tumors with specific clinical phenotypes or molecular characteristics. This represents a powerful computational approach for candidate drug identification, but due to the complexity of TCGA and technology differences between CMap and TCGA experiments, such analyses are challenging to conduct and reproduce. We present Cancer in silico Drug Discovery (CiDD; scheet.org/software), a computational drug discovery platform that addresses these challenges. CiDD integrates data from TCGA, CMap, and Cancer Cell Line Encyclopedia (CCLE) to perform computational drug discovery experiments, generating hypotheses for the following three general problems: (i) determining whether specific clinical phenotypes or molecular characteristics are associated with unique gene expression signatures; (ii) finding candidate drugs to repress these expression signatures; and (iii) identifying cell lines that resemble the tumors being studied for subsequent in vitro experiments. The primary input to CiDD is a clinical or molecular characteristic. The output is a biologically annotated list of candidate drugs and a list of cell lines for in vitro experimentation. We applied CiDD to identify candidate drugs to treat colorectal cancers harboring mutations in BRAF. CiDD identified EGFR and proteasome inhibitors, while proposing five cell lines for in vitro testing. CiDD facilitates phenotype-driven, systematic drug discovery based on clinical and molecular data from TCGA. Mol Cancer Ther; 13(12); 3230–40. ©2014 AACR." @default.
- W2160992134 created "2016-06-24" @default.
- W2160992134 creator A5006348751 @default.
- W2160992134 creator A5052675604 @default.
- W2160992134 creator A5054223849 @default.
- W2160992134 creator A5057373704 @default.
- W2160992134 creator A5064460474 @default.
- W2160992134 creator A5070637370 @default.
- W2160992134 date "2014-12-01" @default.
- W2160992134 modified "2023-10-13" @default.
- W2160992134 title "Cancer <i>In Silico</i> Drug Discovery: A Systems Biology Tool for Identifying Candidate Drugs to Target Specific Molecular Tumor Subtypes" @default.
- W2160992134 cites W1481972425 @default.
- W2160992134 cites W1546952499 @default.
- W2160992134 cites W1607267312 @default.
- W2160992134 cites W1888056807 @default.
- W2160992134 cites W1973749147 @default.
- W2160992134 cites W1980291961 @default.
- W2160992134 cites W1997338647 @default.
- W2160992134 cites W2010457001 @default.
- W2160992134 cites W2014881369 @default.
- W2160992134 cites W2027097953 @default.
- W2160992134 cites W2043398720 @default.
- W2160992134 cites W2057229428 @default.
- W2160992134 cites W2059145105 @default.
- W2160992134 cites W2065059240 @default.
- W2160992134 cites W2072572998 @default.
- W2160992134 cites W2077428590 @default.
- W2160992134 cites W2080534618 @default.
- W2160992134 cites W2085483616 @default.
- W2160992134 cites W2085667464 @default.
- W2160992134 cites W2085724896 @default.
- W2160992134 cites W2096024381 @default.
- W2160992134 cites W2096235123 @default.
- W2160992134 cites W2108069034 @default.
- W2160992134 cites W2110682589 @default.
- W2160992134 cites W2112180493 @default.
- W2160992134 cites W2118017554 @default.
- W2160992134 cites W2118770646 @default.
- W2160992134 cites W2120490763 @default.
- W2160992134 cites W2121389354 @default.
- W2160992134 cites W2121604817 @default.
- W2160992134 cites W2125440931 @default.
- W2160992134 cites W2128542677 @default.
- W2160992134 cites W2131848047 @default.
- W2160992134 cites W2137052779 @default.
- W2160992134 cites W2141172646 @default.
- W2160992134 cites W2143238378 @default.
- W2160992134 cites W2145962676 @default.
- W2160992134 cites W2152883587 @default.
- W2160992134 cites W2163188200 @default.
- W2160992134 cites W2167778120 @default.
- W2160992134 cites W2168143310 @default.
- W2160992134 cites W2171528238 @default.
- W2160992134 cites W2262414037 @default.
- W2160992134 doi "https://doi.org/10.1158/1535-7163.mct-14-0260" @default.
- W2160992134 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4341901" @default.
- W2160992134 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25349306" @default.
- W2160992134 hasPublicationYear "2014" @default.
- W2160992134 type Work @default.
- W2160992134 sameAs 2160992134 @default.
- W2160992134 citedByCount "18" @default.
- W2160992134 countsByYear W21609921342015 @default.
- W2160992134 countsByYear W21609921342017 @default.
- W2160992134 countsByYear W21609921342018 @default.
- W2160992134 countsByYear W21609921342019 @default.
- W2160992134 countsByYear W21609921342020 @default.
- W2160992134 countsByYear W21609921342021 @default.
- W2160992134 countsByYear W21609921342022 @default.
- W2160992134 countsByYear W21609921342023 @default.
- W2160992134 crossrefType "journal-article" @default.
- W2160992134 hasAuthorship W2160992134A5006348751 @default.
- W2160992134 hasAuthorship W2160992134A5052675604 @default.
- W2160992134 hasAuthorship W2160992134A5054223849 @default.
- W2160992134 hasAuthorship W2160992134A5057373704 @default.
- W2160992134 hasAuthorship W2160992134A5064460474 @default.
- W2160992134 hasAuthorship W2160992134A5070637370 @default.
- W2160992134 hasBestOaLocation W21609921341 @default.
- W2160992134 hasConcept C104317684 @default.
- W2160992134 hasConcept C121608353 @default.
- W2160992134 hasConcept C2775905019 @default.
- W2160992134 hasConcept C2780035454 @default.
- W2160992134 hasConcept C54355233 @default.
- W2160992134 hasConcept C60644358 @default.
- W2160992134 hasConcept C69991583 @default.
- W2160992134 hasConcept C70721500 @default.
- W2160992134 hasConcept C74187038 @default.
- W2160992134 hasConcept C86803240 @default.
- W2160992134 hasConcept C98274493 @default.
- W2160992134 hasConceptScore W2160992134C104317684 @default.
- W2160992134 hasConceptScore W2160992134C121608353 @default.
- W2160992134 hasConceptScore W2160992134C2775905019 @default.
- W2160992134 hasConceptScore W2160992134C2780035454 @default.
- W2160992134 hasConceptScore W2160992134C54355233 @default.
- W2160992134 hasConceptScore W2160992134C60644358 @default.
- W2160992134 hasConceptScore W2160992134C69991583 @default.
- W2160992134 hasConceptScore W2160992134C70721500 @default.
- W2160992134 hasConceptScore W2160992134C74187038 @default.
- W2160992134 hasConceptScore W2160992134C86803240 @default.