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DOSE-RESPONSE MEDICAL OUTCOME MODEL PREDICTOR SYSTEM AND METHOD

机译:剂量响应医学成果模型预测器系统和方法

摘要

A computer-implemented method for predicting quantitatively whether an adjuvant or neoadjuvant chemotherapeutic is successful in treating an individual suffering from cancer, the method comprising the steps of assaying a cancerous biological sample and a normal biological sample from the individual to determine the concentration of two or more BCL-2 family members in each sample; inputting the concentration value for at least two BCL-2 family members of each sample into a non-linear protein-protein network computational model and adapted to calculate quantitative protein profiles over time from quantitative molecular interaction data and assess the mitochondrial outer membrane permeabilisation apoptosis pathway invoked by chemotherapeutically-induced stress; and processing said concentration values using said computational model to determine the interaction of pro-apoptotic and pro-survival BCL-2 family members invoked after chemotherapeutic-induced stress in the sample; and outputting a quantitative prediction value of the likelihood of treatment success using the adjuvant or neoadjuvant chemotherapeutic treatment.
机译:一种计算机实现的定量预测佐剂或新佐剂化疗是否成功治疗个体的方法,该方法包括以下步骤:分析个体的癌性生物样品和正常生物样品,以确定两种或两种药物的浓度每个样本中有更多的BCL-2家族成员;将每个样品的至少两个BCL-2家族成员的浓度值输入非线性蛋白质-蛋白质网络计算模型,并根据定量的分子相互作用数据来计算随时间变化的定量蛋白质谱,并评估线粒体外膜通透性凋亡途径由化学治疗引起的压力引起;使用所述计算模型处理所述浓度值,以确定在样品中由化疗诱导的应激后,促凋亡和促生存的BCL-2家族成员之间的相互作用;并输出使用辅助或新辅助化学疗法治疗成功的可能性的定量预测值。

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