Search Results - "Rogers, Jim A"

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  1. 1

    Emergent decision-making in biological signal transduction networks by Helikar, Tomáš, Konvalina, John, Heidel, Jack, Rogers, Jim A

    “…The complexity of biochemical intracellular signal transduction networks has led to speculation that the high degree of interconnectivity that exists in these…”
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  2. 2

    A comprehensive, multi-scale dynamical model of ErbB receptor signal transduction in human mammary epithelial cells by Helikar, Tomáš, Kochi, Naomi, Kowal, Bryan, Dimri, Manjari, Naramura, Mayumi, Raja, Srikumar M, Band, Vimla, Band, Hamid, Rogers, Jim A

    Published in PloS one (18-04-2013)
    “…The non-receptor tyrosine kinase Src and receptor tyrosine kinase epidermal growth factor receptor (EGFR/ErbB1) have been established as collaborators in…”
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  3. 3

    Integrating interactive computational modeling in biology curricula by Helikar, Tomáš, Cutucache, Christine E, Dahlquist, Lauren M, Herek, Tyler A, Larson, Joshua J, Rogers, Jim A

    Published in PLoS computational biology (01-03-2015)
    “…While the use of computer tools to simulate complex processes such as computer circuits is normal practice in fields like engineering, the majority of life…”
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  4. 4

    ChemChains: a platform for simulation and analysis of biochemical networks aimed to laboratory scientists by Helikar, Tomás, Rogers, Jim A

    Published in BMC systems biology (06-06-2009)
    “…New mathematical models of complex biological structures and computer simulation software allow modelers to simulate and analyze biochemical systems in silico…”
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  5. 5

    Bio-logic builder: a non-technical tool for building dynamical, qualitative models by Helikar, Tomáš, Kowal, Bryan, Madrahimov, Alex, Shrestha, Manish, Pedersen, Jay, Limbu, Kahani, Thapa, Ishwor, Rowley, Thaine, Satalkar, Rahul, Kochi, Naomi, Konvalina, John, Rogers, Jim A

    Published in PloS one (17-10-2012)
    “…Computational modeling of biological processes is a promising tool in biomedical research. While a large part of its potential lies in the ability to integrate…”
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  6. 6

    The Cell Collective: toward an open and collaborative approach to systems biology by Helikar, Tomáš, Kowal, Bryan, McClenathan, Sean, Bruckner, Mitchell, Rowley, Thaine, Madrahimov, Alex, Wicks, Ben, Shrestha, Manish, Limbu, Kahani, Rogers, Jim A

    Published in BMC systems biology (07-08-2012)
    “…Despite decades of new discoveries in biomedical research, the overwhelming complexity of cells has been a significant barrier to a fundamental understanding…”
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  7. 7

    Boolean network topologies and the determinative power of nodes by Wacker, Bronson W, Velcsov, Mihaela T, Rogers, Jim A

    Published in Journal of complex networks (01-02-2020)
    “…Abstract Boolean networks have been used extensively for modelling networks whose node activity could be simplified to a binary outcome, such as on–off. Each…”
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  8. 8

    Sensitivity analysis of biological Boolean networks using information fusion based on nonadditive set functions by Kochi, Naomi, Helikar, Tomáš, Allen, Laura, Rogers, Jim A, Wang, Zhenyuan, Matache, Mihaela T

    Published in BMC systems biology (05-09-2014)
    “…An algebraic method for information fusion based on nonadditive set functions is used to assess the joint contribution of Boolean network attributes to the…”
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  9. 9

    Survival and Differentiation of Cultured Retinal Progenitors Transplanted in the Subretinal Space of the Rat by Chacko, David M., Rogers, Jim A., Turner, James E., Ahmad, Iqbal

    “…We have shown that embryonic retina contains progenitors which display stem cell properties in vitro. These cells are proliferative and in addition to…”
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  10. 10

    In vitro analysis of a mammalian retinal progenitor that gives rise to neurons and glia by Ahmad, Iqbal, Dooley, Constance M, Thoreson, Wallace B, Rogers, Jim A, Afiat, Sanaz

    Published in Brain research (12-06-1999)
    “…In vivo lineage studies have shown that retinal cells arise from multipotential progenitors whose fates are regulated by cell–cell interactions. To understand…”
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  11. 11

    Activation of STAT3 by the c-Fes Protein-tyrosine Kinase by Nelson, K L, Rogers, J A, Bowman, T L, Jove, R, Smithgall, T E

    Published in The Journal of biological chemistry (20-03-1998)
    “…STATs (signal transducers and activators of transcription) are transcription factors that contain SH2 domains and are activated by tyrosine phosphorylation,…”
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  12. 12

    Regulation of c-Fes Tyrosine Kinase and Biological Activities by N-Terminal Coiled-Coil Oligomerization Domains by Cheng, Haiyun, Rogers, Jim A., Dunham, Nancy A., Smithgall, Thomas E.

    Published in Molecular and Cellular Biology (01-12-1999)
    “…Article Usage Stats Services MCB Citing Articles Google Scholar PubMed Related Content Social Bookmarking CiteULike Delicious Digg Facebook Google+ Mendeley…”
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  13. 13

    The role of NeuroD as a differentiation factor in the mammalian retina by Ahmad, I, Acharya, H R, Rogers, J A, Shibata, A, Smithgall, T E, Dooley, C M

    Published in Journal of molecular neuroscience (01-10-1998)
    “…NeuroD, a vertebrate homolog of Drosophila atonal gene, plays an important role in the differentiation of neuronal precursors (Lee et al., 1995). We have…”
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  14. 14

    Integrating Interactive Computational Modeling in Biology Curricula: e1004131 by Helikar, Tomás, Cutucache, Christine E, Dahlquist, Lauren M, Herek, Tyler A, Larson, Joshua J, Rogers, Jim A

    Published in PLoS computational biology (01-03-2015)
    “…While the use of computer tools to simulate complex processes such as computer circuits is normal practice in fields like engineering, the majority of life…”
    Get full text
    Journal Article
  15. 15

    Autophosphorylation of the Fes Tyrosine Kinase by Rogers, Jim A., Read, Renee D., Li, Jianze, Peters, Kristi L., Smithgall, Thomas E.

    Published in The Journal of biological chemistry (19-07-1996)
    “…The human c-fes proto-oncogene encodes a cytoplasmic tyrosine kinase (Fes) that is associated with multiple hematopoietic cytokine receptors. Fes tyrosine…”
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  16. 16

    Autophosphorylation of the Fes tyrosine kinase. Evidence for an intermolecular mechanism involving two kinase domain tyrosine residues by Rogers, J A, Read, R D, Li, J, Peters, K L, Smithgall, T E

    Published in The Journal of biological chemistry (19-07-1996)
    “…The human c-fes proto-oncogene encodes a cytoplasmic tyrosine kinase (Fes) that is associated with multiple hematopoietic cytokine receptors. Fes tyrosine…”
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  17. 17

    The c-Fes family of protein-tyrosine kinases by Smithgall, T E, Rogers, J A, Peters, K L, Li, J, Briggs, S D, Lionberger, J M, Cheng, H, Shibata, A, Scholtz, B, Schreiner, S, Dunham, N

    Published in Critical reviews in oncogenesis (1998)
    “…The human c-fes protooncogene encodes a protein-tyrosine kinase (c-Fes) distinct from c-Src, c-Abl and other nonreceptor tyrosine kinases. Although originally…”
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  18. 18

    Src homology 2 domain substitution modulates the kinase and transforming activities of the Fes protein-tyrosine kinase by ROGERS, Jim A, CHENG, Haiyun Y, SMITHGALL, Thomas E

    Published in Cell growth & differentiation (01-11-2000)
    “…The c-fes proto-oncogene encodes a Mr 93,000 protein-tyrosine kinase (Fes) that is strongly expressed in myeloid cells and has been implicated in…”
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