Location: SLC transporters @ a9cc330a733f / Electrogenic cotransporter / data / Fig10_Parent1992_150mV.dig

Author:
Weiwei Ai <wai484@aucklanduni.ac.nz>
Date:
2024-05-24 15:25:09+12:00
Desc:
Use CellMLV1 models directly; modify the initial states; add slope for step functions; fix relative path
Permanent Source URI:
http://models.cellml.org/workspace/b65/rawfile/a9cc330a733f45ad628b68d88abb7a06946133b9/Electrogenic cotransporter/data/Fig10_Parent1992_150mV.dig
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