{"id":170870,"date":"2011-11-17T09:18:31","date_gmt":"2011-11-17T09:18:31","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/z3-4biology\/"},"modified":"2019-01-10T09:05:12","modified_gmt":"2019-01-10T17:05:12","slug":"z3-4biology","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/z3-4biology\/","title":{"rendered":"Z3-4Biology"},"content":{"rendered":"

An SMT-based Framework for Analyzing Biological Computation<\/h2>\n
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The basic principles governing the development and function of living organisms remain only partially understood, despite significant progress in molecular and cellular biology and tremendous breakthroughs in experimental methods. The development of system-level, mechanistic, computational models has the potential to become a foundation for improving our understanding of natural biological systems, and for designing engineered biological systems with wide-ranging applications in nanomedicine, nanomaterials and computing. We developed Z34Bio (Z3 for Biology), a unifed SMT-based framework for the automated analysis of natural and engineered biological systems to enable\u00a0addressing important biological questions, and studying complex biological models.<\/p>\n<\/div>\n

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