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Giovanni Paternostro - Publications

Affiliations: 
Bioengineering University of California, San Diego, La Jolla, CA 
Area:
Biomedical
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25 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
2020 Piermarocchi C, Domanskyi S, Hakansson A, Paternostro G. Abstract A14: Modeling drug combination sensitivity with Hopfield networks and transcriptomics data Cancer Research. 80. DOI: 10.1158/1538-7445.Camodels2020-A14  0.394
2017 Szedlak A, Sims S, Smith N, Paternostro G, Piermarocchi C. Cell cycle time series gene expression data encoded as cyclic attractors in Hopfield systems. Plos Computational Biology. 13: e1005849. PMID 29149186 DOI: 10.1371/Journal.Pcbi.1005849  0.344
2016 Szedlak A, Smith N, Liu L, Paternostro G, Piermarocchi C. Evolutionary and Topological Properties of Genes and Community Structures in Human Gene Regulatory Networks. Plos Computational Biology. 12: e1005009. PMID 27359334 DOI: 10.1371/Journal.Pcbi.1005009  0.319
2016 Schachter L, Hutchins IM, Waalen J, Burian C, Finlay D, Vuori K, Paternostro G, Xavier MF, Costantini CL, Miller WE, Andrey J, Mason J. Drug Sensitivity Across Acute Myeloid Leukemia Subtypes Using an in Vitro Assay Blood. 128: 5208-5208. DOI: 10.1182/Blood.V128.22.5208.5208  0.301
2015 Kang Y, Tierney M, Ong E, Zhang L, Piermarocchi C, Sacco A, Paternostro G. Combinations of Kinase Inhibitors Protecting Myoblasts against Hypoxia. Plos One. 10: e0126718. PMID 26042811 DOI: 10.1371/Journal.Pone.0126718  0.348
2015 Ong E, Szedlak A, Kang Y, Smith P, Smith N, McBride M, Finlay D, Vuori K, Mason J, Ball ED, Piermarocchi C, Paternostro G. A scalable method for molecular network reconstruction identifies properties of targets and mutations in acute myeloid leukemia. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 22: 266-88. PMID 25844667 DOI: 10.1089/Cmb.2014.0297  0.398
2015 Szedlak AD, Paternostro G, Piermarocchi C. Abstract B2-40: Many-attractor models of signaling dynamics and heterogeneity in acute myeloid leukemia gene regulatory networks Cancer Research. 75. DOI: 10.1158/1538-7445.Compsysbio-B2-40  0.409
2014 Szedlak A, Paternostro G, Piermarocchi C. Control of asymmetric Hopfield networks and application to cancer attractors. Plos One. 9: e105842. PMID 25170874 DOI: 10.1371/Journal.Pone.0105842  0.4
2014 Kang Y, Hodges A, Ong E, Roberts W, Piermarocchi C, Paternostro G. Identification of drug combinations containing imatinib for treatment of BCR-ABL+ leukemias. Plos One. 9: e102221. PMID 25029499 DOI: 10.1371/Journal.Pone.0102221  0.325
2014 Tran TP, Ong E, Hodges AP, Paternostro G, Piermarocchi C. Prediction of kinase inhibitor response using activity profiling, in vitro screening, and elastic net regression. Bmc Systems Biology. 8: 74. PMID 24961498 DOI: 10.1186/1752-0509-8-74  0.338
2014 Kang Y, Tran T, Zhang L, Ball ED, Piermarocchi C, Paternostro G. Personalized Drug Combinations for the Treatment of Acute Myeloid Leukemia (AML) Patients Blood. 124: 3616-3616. DOI: 10.1182/Blood.V124.21.3616.3616  0.352
2013 Tiziani S, Kang Y, Harjanto R, Axelrod J, Piermarocchi C, Roberts W, Paternostro G. Metabolomics of the tumor microenvironment in pediatric acute lymphoblastic leukemia. Plos One. 8: e82859. PMID 24349380 DOI: 10.1371/Journal.Pone.0082859  0.359
2012 Feala JD, Cortes J, Duxbury PM, McCulloch AD, Piermarocchi C, Paternostro G. Statistical properties and robustness of biological controller-target networks. Plos One. 7: e29374. PMID 22235289 DOI: 10.1371/Journal.Pone.0029374  0.72
2011 Tiziani S, Kang Y, Choi JS, Roberts W, Paternostro G. Metabolomic high-content nuclear magnetic resonance-based drug screening of a kinase inhibitor library. Nature Communications. 2: 545. PMID 22109519 DOI: 10.1038/Ncomms1562  0.362
2010 Feala JD, Cortes J, Duxbury PM, Piermarocchi C, McCulloch AD, Paternostro G. Systems approaches and algorithms for discovery of combinatorial therapies. Wiley Interdisciplinary Reviews. Systems Biology and Medicine. 2: 181-93. PMID 20836021 DOI: 10.1002/Wsbm.51  0.726
2009 Feala JD, Coquin L, Zhou D, Haddad GG, Paternostro G, McCulloch AD. Metabolism as means for hypoxia adaptation: metabolic profiling and flux balance analysis. Bmc Systems Biology. 3: 91. PMID 19740440 DOI: 10.1186/1752-0509-3-91  0.742
2008 Calzolari D, Bruschi S, Coquin L, Schofield J, Feala JD, Reed JC, McCulloch AD, Paternostro G. Search algorithms as a framework for the optimization of drug combinations. Plos Computational Biology. 4: e1000249. PMID 19112483 DOI: 10.1371/Journal.Pcbi.1000249  0.714
2008 Coquin L, Feala JD, McCulloch AD, Paternostro G. Metabolomic and flux-balance analysis of age-related decline of hypoxia tolerance in Drosophila muscle tissue. Molecular Systems Biology. 4: 233. PMID 19096360 DOI: 10.1038/Msb.2008.71  0.734
2008 Feala JD, Omens JH, Paternostro G, McCulloch AD. Discovering regulators of the Drosophila cardiac hypoxia response using automated phenotyping technology. Annals of the New York Academy of Sciences. 1123: 169-77. PMID 18375589 DOI: 10.1196/Annals.1420.019  0.734
2008 Feala JD, Coquin L, Paternostro G, McCulloch AD. Integrating metabolomics and phenomics with systems models of cardiac hypoxia. Progress in Biophysics and Molecular Biology. 96: 209-25. PMID 17870149 DOI: 10.1016/J.Pbiomolbio.2007.07.014  0.753
2007 Calzolari D, Paternostro G, Harrington PL, Piermarocchi C, Duxbury PM. Selective control of the apoptosis signaling network in heterogeneous cell populations. Plos One. 2: e547. PMID 17579719 DOI: 10.1371/Journal.Pone.0000547  0.366
2007 Feala JD, Coquin L, McCulloch AD, Paternostro G. Flexibility in energy metabolism supports hypoxia tolerance in Drosophila flight muscle: metabolomic and computational systems analysis. Molecular Systems Biology. 3: 99. PMID 17437024 DOI: 10.1038/Msb4100139  0.74
2005 McCulloch AD, Paternostro G. Cardiac systems biology. Annals of the New York Academy of Sciences. 1047: 283-95. PMID 16093504 DOI: 10.1196/Annals.1341.025  0.372
2005 Ferrarini L, Bertelli L, Feala J, McCulloch AD, Paternostro G. A more efficient search strategy for aging genes based on connectivity. Bioinformatics (Oxford, England). 21: 338-48. PMID 15347572 DOI: 10.1093/Bioinformatics/Bti004  0.727
2001 Paternostro G, Vignola C, Bartsch DU, Omens JH, McCulloch AD, Reed JC. Age-associated cardiac dysfunction in Drosophila melanogaster Circulation Research. 88: 1053-1058. PMID 11375275 DOI: 10.1161/Hh1001.090857  0.345
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