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原文連結
論文資訊
- 類型：已發表論文
- 日期：2010
摘要
Background: We consider the problem of optimizing a liposomal drug formulation: a complex chemical system with many components (e. g., elements of a lipid library) that interact 非線性ly and synergistically in ways that cannot be predicted from first principles. Methodology/Principal Findings: The optimization criterion in our experiments was the percent encapsulation of a target drug, Amphotericin B, detected experimentally via spectrophotometric assay. Optimization of such a 複雜系統 requires strategies that efficiently discover solutions in extremely large volumes of potential experimental space. We have designed and implemented a new strategy of 演化ary design of experiments (Evo-DoE), that efficiently explores high-dimensional spaces by coupling the power of computer and 統計 modeling with exper
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