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10.1093/nar/gkaa1272 http://scihub22266oqcxt.onion/10.1093/nar/gkaa1272 33434272!8053130!33434272     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nucleic+Acids+Res 2021 ; 49 (7): e37 Nephropedia Template TP {{tp|p=33434272|t=2021. Network controllability-based algorithm to target personalized driver genes for discovering combinatorial drugs of individual patients |pdf=|usr=}}{{33434272}} gab.com Text Network controllability-based algorithm to target personalized driver genes for discovering combinatorial drugs of individual patients JO: Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=33434272 #FOAvip Multiple driver genes in individual patient samples may cause resistance to individual drugs in precision medicine. However, current computational methods have not studied how to fill the gap between personalized driver gene identification and combinatorial drug discovery for individual patients. Here, we developed a novel structural network controllability-based personalized driver genes and combinatorial drug identification algorithm (CPGD), aiming to identify combinatorial drugs for an individual patient by targeting personalized driver genes from network controllability perspective. On two benchmark disease datasets (i.e. breast cancer and lung cancer datasets), performance of CPGD is superior to that of other state-of-the-art driver gene-focus methods in terms of discovery rate among prior-known clinical efficacious combinatorial drugs. Especially on breast cancer dataset, CPGD evaluated synergistic effect of pairwise drug combinations by measuring synergistic effect of their corresponding personalized driver gene modules, which are affected by a given targeting personalized driver gene set of drugs. The results showed that CPGD performs better than existing synergistic combinatorial strategies in identifying clinical efficacious paired combinatorial drugs. Furthermore, CPGD enhanced cancer subtyping by computationally providing personalized side effect signatures for individual patients. In addition, CPGD identified 90 drug combinations candidates from SARS-COV2 dataset as potential drug repurposing candidates for recently spreading COVID-19. Twit Text FOAVip Network controllability-based algorithm to target personalized driver genes for discovering combinatorial drugs of individual patients ????Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=33434272 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33434272 #FOAvip English Wikipedia <ref>{{Cite pmid|33434272}}</ref> Network controllability-based algorithm to target personalized driver genes for discovering combinatorial drugs of individual patients #MMPMID33434272 Guo WF; Zhang SW; Feng YH; Liang J; Zeng T; Chen L Nucleic Acids Res 2021[Apr]; 49 (7): e37 PMID33434272show ga Multiple driver genes in individual patient samples may cause resistance to individual drugs in precision medicine. However, current computational methods have not studied how to fill the gap between personalized driver gene identification and combinatorial drug discovery for individual patients. Here, we developed a novel structural network controllability-based personalized driver genes and combinatorial drug identification algorithm (CPGD), aiming to identify combinatorial drugs for an individual patient by targeting personalized driver genes from network controllability perspective. On two benchmark disease datasets (i.e. breast cancer and lung cancer datasets), performance of CPGD is superior to that of other state-of-the-art driver gene-focus methods in terms of discovery rate among prior-known clinical efficacious combinatorial drugs. Especially on breast cancer dataset, CPGD evaluated synergistic effect of pairwise drug combinations by measuring synergistic effect of their corresponding personalized driver gene modules, which are affected by a given targeting personalized driver gene set of drugs. The results showed that CPGD performs better than existing synergistic combinatorial strategies in identifying clinical efficacious paired combinatorial drugs. Furthermore, CPGD enhanced cancer subtyping by computationally providing personalized side effect signatures for individual patients. In addition, CPGD identified 90 drug combinations candidates from SARS-COV2 dataset as potential drug repurposing candidates for recently spreading COVID-19. |*Algorithms[MESH] |*Drug Therapy, Combination[MESH] |Breast Neoplasms/classification/*drug therapy/*genetics[MESH] |COVID-19 Drug Treatment[MESH] |COVID-19/genetics[MESH] |Datasets as Topic[MESH] |Drug Repositioning[MESH] |Drug Synergism[MESH] |Drug-Related Side Effects and Adverse Reactions[MESH] |Gene Expression Regulation, Neoplastic/genetics[MESH] |Genes, Neoplasm/genetics[MESH] |Humans[MESH] |Lung Neoplasms/*drug therapy/*genetics[MESH] |Precision Medicine/*methods[MESH] |Risk Assessment[MESH]Network controllability-based algorithm to target personalized driver (epmc).pdf DeepDyve Pubget Overpricing