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MECHANISTIC COMPUTATIONAL MODEL OF OVARIAN STEROIDOGENESIS TO PREDICT BIOCHEMICAL RESPONSES TO ENDOCRINE ACTIVE COMPOUNDS.
Citation:
BREEN, M., D. L. VILLENEUVE, M. BREEN, G. T. ANKLEY, AND R. B. CONOLLY. MECHANISTIC COMPUTATIONAL MODEL OF OVARIAN STEROIDOGENESIS TO PREDICT BIOCHEMICAL RESPONSES TO ENDOCRINE ACTIVE COMPOUNDS. Dr. Gerald Saidel; Dr. Larry V. McIntire (ed.), Annals of Biomedical Engineering. Springer Netherlands, , Netherlands, 35(6):970-981, (2007).
Impact/Purpose:
Our study demonstrates the feasibility of using the steroidogenesis model to predict T and E2 concentrations, in vitro, while reducing model complexity with a steady-state assumption.
Description:
Our study demonstrates the feasibility of using the steroidogenesis model to predict T and E2 concentrations, in vitro, while reducing model complexity with a steady-state assumption.
URLs/Downloads:
MECHANISTIC COMPUTATIONAL MODEL OF OVARIAN STEROIDOGENESIS TO PREDICT BIOCHEMICAL RESPONSES TO ENDOCRINE ACTIVE COMPOUNDS.
Record Details:
Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:06/01/2007
Record Last Revised:12/03/2008
OMB Category:Other
Record ID:
171103