@Article{RSM:Pug2004,
  author =       "J.L. Puglisi and F. Wang and D.M. Bers",
  title =        "Modeling the isolated cardiac myocyte.",
  journal =      "Prog Biophys Mol Biol",
  year =         "2004",
  month =        jun # "-" # jul,
  volume =       "85",
  number =       "2-3",
  pages =        "163--178",
  robnote =      "Computer modeling of cardiac myocytes has flourished
                 in recent years. Models have evolved from mathematical
                 descriptions of ionic channels alone to more
                 sophisticated formulations that include calcium
                 transport mechanisms, ATP production and metabolic
                 pathways. The increased complexity is fueled by the new
                 data available in the field. The continuous production
                 of experimental data has led to the evolution of
                 increasingly refined descriptions of the phenomena by
                 modelers. Integrating the numerous systems involved in
                 cardiac myocyte homeostasis makes the use of computer
                 models necessary due to the unreliability of intuitive
                 approaches. However the complexity of the model should
                 not imply a cumbersome operation of the program. As
                 with any tool, computer models have to be easy to
                 operate or their strength will be diminished and
                 potential users will not benefit fully from them. The
                 contribution of the computer modeler to their
                 respective biological fields will be more successful
                 and enduring if modelers devote sufficient time to
                 implement their equations into a model with
                 user-friendly characteristics.",
  bibdate =      "Mon Nov 20 07:50:06 2006",
}

{"_id":"QQfyPggyJsJKq4DGw","bibbaseid":"puglisi-wang-bers-modelingtheisolatedcardiacmyocyte-2004","downloads":0,"creationDate":"2016-07-01T21:38:39.373Z","title":"Modeling the isolated cardiac myocyte.","author_short":["Puglisi, J.","Wang, F.","Bers, D."],"year":2004,"bibtype":"article","biburl":"http://www.sci.utah.edu/~macleod/Bibtex/biglit.bib","bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["J.L."],"propositions":[],"lastnames":["Puglisi"],"suffixes":[]},{"firstnames":["F."],"propositions":[],"lastnames":["Wang"],"suffixes":[]},{"firstnames":["D.M."],"propositions":[],"lastnames":["Bers"],"suffixes":[]}],"title":"Modeling the isolated cardiac myocyte.","journal":"Prog Biophys Mol Biol","year":"2004","month":"June-July","volume":"85","number":"2-3","pages":"163–178","robnote":"Computer modeling of cardiac myocytes has flourished in recent years. Models have evolved from mathematical descriptions of ionic channels alone to more sophisticated formulations that include calcium transport mechanisms, ATP production and metabolic pathways. The increased complexity is fueled by the new data available in the field. The continuous production of experimental data has led to the evolution of increasingly refined descriptions of the phenomena by modelers. Integrating the numerous systems involved in cardiac myocyte homeostasis makes the use of computer models necessary due to the unreliability of intuitive approaches. However the complexity of the model should not imply a cumbersome operation of the program. As with any tool, computer models have to be easy to operate or their strength will be diminished and potential users will not benefit fully from them. The contribution of the computer modeler to their respective biological fields will be more successful and enduring if modelers devote sufficient time to implement their equations into a model with user-friendly characteristics.","bibdate":"Mon Nov 20 07:50:06 2006","bibtex":"@Article{RSM:Pug2004,\n author = \"J.L. Puglisi and F. Wang and D.M. Bers\",\n title = \"Modeling the isolated cardiac myocyte.\",\n journal = \"Prog Biophys Mol Biol\",\n year = \"2004\",\n month = jun # \"-\" # jul,\n volume = \"85\",\n number = \"2-3\",\n pages = \"163--178\",\n robnote = \"Computer modeling of cardiac myocytes has flourished\n in recent years. Models have evolved from mathematical\n descriptions of ionic channels alone to more\n sophisticated formulations that include calcium\n transport mechanisms, ATP production and metabolic\n pathways. The increased complexity is fueled by the new\n data available in the field. The continuous production\n of experimental data has led to the evolution of\n increasingly refined descriptions of the phenomena by\n modelers. Integrating the numerous systems involved in\n cardiac myocyte homeostasis makes the use of computer\n models necessary due to the unreliability of intuitive\n approaches. However the complexity of the model should\n not imply a cumbersome operation of the program. As\n with any tool, computer models have to be easy to\n operate or their strength will be diminished and\n potential users will not benefit fully from them. The\n contribution of the computer modeler to their\n respective biological fields will be more successful\n and enduring if modelers devote sufficient time to\n implement their equations into a model with\n user-friendly characteristics.\",\n bibdate = \"Mon Nov 20 07:50:06 2006\",\n}\n\n","author_short":["Puglisi, J.","Wang, F.","Bers, D."],"key":"RSM:Pug2004","id":"RSM:Pug2004","bibbaseid":"puglisi-wang-bers-modelingtheisolatedcardiacmyocyte-2004","role":"author","urls":{},"metadata":{"authorlinks":{}},"downloads":0,"html":""},"search_terms":["modeling","isolated","cardiac","myocyte","puglisi","wang","bers"],"keywords":[],"authorIDs":[],"dataSources":["5HG3Kp8zRwDd7FotB"]}