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Mark S. Sevecka, Ph.D. - Publications

Affiliations: 
2009 Harvard University, Cambridge, MA, United States 
Area:
Bioinformatics Biology, Molecular Biology
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11 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Hass H, Masson K, Wohlgemuth S, Paragas V, Allen JE, Sevecka M, Pace E, Timmer J, Stelling J, MacBeath G, Schoeberl B, Raue A. Abstract 1312: Predicting ligand-dependent tumors from multi-dimensional signaling features Cancer Research. 78: 1312-1312. DOI: 10.1158/1538-7445.Am2018-1312  0.407
2017 Hass H, Masson K, Wohlgemuth S, Paragas V, Allen JE, Sevecka M, Pace E, Timmer J, Stelling J, MacBeath G, Schoeberl B, Raue A. Predicting ligand-dependent tumors from multi-dimensional signaling features. Npj Systems Biology and Applications. 3: 27. PMID 28944080 DOI: 10.1038/s41540-017-0030-3  0.316
2015 Kearns JD, Bukhalid R, Sevecka M, Tan G, Gerami-Moayed N, Werner SL, Kohli N, Burenkova O, Sloss CM, King AM, Fitzgerald JB, Nielsen UB, Wolf BB. Enhanced Targeting of the EGFR Network with MM-151, an Oligoclonal Anti-EGFR Antibody Therapeutic. Molecular Cancer Therapeutics. 14: 1625-36. PMID 25911688 DOI: 10.1158/1535-7163.Mct-14-0772  0.406
2013 Wagner JP, Wolf-Yadlin A, Sevecka M, Grenier JK, Root DE, Lauffenburger DA, MacBeath G. Receptor tyrosine kinases fall into distinct classes based on their inferred signaling networks. Science Signaling. 6: ra58. PMID 23861540 DOI: 10.4172/2153-0602.C1.003  0.379
2013 Wainszelbaum MJ, Sevecka MS, Burenkova O, Garcia G, Kubasek W, MacBeath G. Abstract 5464: In-vitro studies of MM-121/SAR 256212, an anti-ErbB-3 antibody, in combination with erlotinib in EGFR-wild-type NSCLC. Cancer Research. 73: 5464-5464. DOI: 10.1158/1538-7445.Am2013-5464  0.314
2012 Luckert K, Gujral TS, Chan M, Sevecka M, Joos TO, Sorger PK, Macbeath G, Pötz O. A dual array-based approach to assess the abundance and posttranslational modification state of signaling proteins. Science Signaling. 5: pl1. PMID 22234610 DOI: 10.1126/Scisignal.2002372  0.452
2011 Sevecka M, Wolf-Yadlin A, MacBeath G. Lysate microarrays enable high-throughput, quantitative investigations of cellular signaling. Molecular & Cellular Proteomics : McP. 10: M110.005363. PMID 21296872 DOI: 10.1074/Mcp.M110.005363  0.432
2009 Wolf-Yadlin A, Sevecka M, MacBeath G. Dissecting protein function and signaling using protein microarrays. Current Opinion in Chemical Biology. 13: 398-405. PMID 19660979 DOI: 10.1016/J.Cbpa.2009.06.027  0.37
2009 Gordus A, Krall JA, Beyer EM, Kaushansky A, Wolf-Yadlin A, Sevecka M, Chang BH, Rush J, MacBeath G. Linear combinations of docking affinities explain quantitative differences in RTK signaling. Molecular Systems Biology. 5: 235. PMID 19156127 DOI: 10.1038/Msb.2008.72  0.421
2006 Sevecka M, MacBeath G. State-based discovery: a multidimensional screen for small-molecule modulators of EGF signaling. Nature Methods. 3: 825-31. PMID 16990815 DOI: 10.1038/Nmeth931  0.4
2006 Stiffler MA, Grantcharova VP, Sevecka M, MacBeath G. Uncovering quantitative protein interaction networks for mouse PDZ domains using protein microarrays. Journal of the American Chemical Society. 128: 5913-22. PMID 16637659 DOI: 10.1021/Ja060943H  0.315
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