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SYSTEM AND METHOD FOR MODELING GENETIC, BIOCHEMICAL, BIOPHYSICAL AND ANATOMICAL INFORMATION IN SILICO CELL

机译:硅细胞中遗传,生物化学,生物物理和解剖信息建模的系统和方法

摘要

Genetic, biochemical, biophysical and anatomical information is integrated at the subcellular, cellular, tissue and organ level. At least one database containing biological information is used to generate at least one data structure having at least one attribute associated therewith. An interface interactively views, edits or links together attributes of the data structures to create at least one hierarchical description of subcellular, cellular, tissue and organ function. The hierarchical description may optionally be an elementary, binary or pathway data structure, or, alternatively, an anatomical data structure capable of being modified to form a structural model. A computational engine mathematically generates at least one data structure from the hierarchical description. Genetic information is accessed, tabulated and combined with functional information on the biochemical and physiological role of gene products. Computational models of genetic, biochemical and biophysical processes within cells and higher order systems are automatically formulated, solved and analyzed based on combination of genetic and functional information adduced. A dynamic tool is thereby provided for achieving discernible objectives, such as increased understanding of biological processes, identification of new drug targets for therapeutic intervention and predictions involving the outcome of drug screening. These objectives are accomplished by the realization of highly complex nonlinear dynamic interactions that occur between each gene or gene product.
机译:遗传,生化,生物物理和解剖学信息在亚细胞,细胞,组织和器官一级得到整合。至少一个包含生物学信息的数据库用于产生至少一个具有至少一个与其相关联的属性的数据结构。界面以交互方式查看,编辑或链接数据结构的属性,以创建亚细胞,细胞,组织和器官功能的至少一个层次描述。分层描述可以可选地是基本,二进制或通路数据结构,或者可替代地是能够被修改以形成结构模型的解剖数据结构。计算引擎从层次描述中数学地生成至少一个数据结构。可以访问遗传信息,将其制成表格并将其与有关基因产物的生化和生理作用的功能信息结合起来。细胞和更高阶系统中的遗传,生化和生物物理过程的计算模型是根据遗传和功能信息的组合自动建立,求解和分析的。因此,提供了一种动态工具来实现可分辨的目标,例如对生物学过程的了解,对用于治疗干预的新药物靶标的识别以及涉及药物筛选结果的预测。这些目的是通过实现每个基因或基因产物之间发生的高度复杂的非线性动态相互作用来实现的。

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