Elizabeth A Coker

Affiliations: 
University of Cambridge (UK) 
Area:
computational biology, pharmacology, bioinformatics
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"Elizabeth Coker"
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Publications

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Bashi AC, Coker EA, Bulusu KC, et al. (2024) Large-scale Pan-cancer Cell Line Screening Identifies Actionable and Effective Drug Combinations. Cancer Discovery. OF1-OF20
Dunn S, Eberlein C, Yu J, et al. (2022) AKT-mTORC1 reactivation is the dominant resistance driver for PI3Kβ/AKT inhibitors in PTEN-null breast cancer and can be overcome by combining with Mcl-1 inhibitors. Oncogene
Coker EA, Stewart A, Ozer B, et al. (2022) Individualised prediction of drug response and rational combination therapy in NSCLC using artificial intelligence enabled studies of acute phosphoproteomic changes. Molecular Cancer Therapeutics
Jaaks P, Coker EA, Vis DJ, et al. (2022) Effective drug combinations in breast, colon and pancreatic cancer cells. Nature
Winkler C, Armenia J, Jones GN, et al. (2020) SLFN11 informs on standard of care and novel treatments in a wide range of cancer models. British Journal of Cancer
Flemington V, Davies EJ, Robinson D, et al. (2020) AZD0364 is a potent and selective ERK1/2 inhibitor which enhances anti-tumour activity in KRAS mutant tumour models when combined with the MEK inhibitor selumetinib. Molecular Cancer Therapeutics
Mitsopoulos C, Di Micco P, Fernandez EV, et al. (2020) canSAR: update to the cancer translational research and drug discovery knowledgebase. Nucleic Acids Research
Balachander SB, Criscione SW, Byth KF, et al. (2020) AZD4320, a dual inhibitor of Bcl-2 and Bcl-xL, induces tumor regression in hematological cancer models without dose-limiting thrombocytopenia. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research
Gonçalves E, Segura-Cabrera A, Pacini C, et al. (2020) Drug mechanism-of-action discovery through the integration of pharmacological and CRISPR screens. Molecular Systems Biology. 16: e9405
Stewart A, Coker EA, Pölsterl S, et al. (2019) Differences in Signaling Patterns on PI3K Inhibition Reveal Context Specificity in -Mutant Cancers. Molecular Cancer Therapeutics
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