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Activity Number:
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370
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #308419 |
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Title:
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A Hierarchical Paradigm for Synergy Assessment Modeling Approaches
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Author(s):
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William Greco*+
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Companies:
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Roswell Park Cancer Institute
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Address:
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Cancer Prevention, Buffalo, NY, 14263,
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Keywords:
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synergy ; response surface ; interaction ; combination ; isobol ; Hill model
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Abstract:
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Our group has collected a set of approaches for assessing the nature and intensity of agent interaction in binary and higher order chemical mixtures, and has created a paradigm for applying these approaches in a hierarchical manner from least complex (most model-independent) to most complex (most model-dependent). The approaches, in order, include: (a) fitting the 4-parameter Hill model (or other appropriate model) to concentration-effect data from each individual agent and from each fixed-ratio binary or higher order mixture; (b) constructing isobols at several effect levels; (c) repeating approach (a), but after transforming the concentration variable into the combination index at the 50% effect level; (d) fitting a simple response surface to all of the data at once; (e) fitting a relatively complex comprehensive response surface to all of the data at once. Supported by NIH RR10742.
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